Module 1: Introduction to Project Management

Module 2: Project Planning and Scheduling

Module 3: Monitoring and Controlling Projects

Module 4: Project Evaluation and Closure

Module 5: Advanced MS Projects Techniques

Module 6: Stakeholder Management

Module 7: Budgeting and Financial Management

Module 8: Quality Management in Projects

Module 9: Team Building and Leadership

Module 10: Risk Management in Projects

Module 11: Communication and Reporting

Module 12: Time Management in Projects

Module 13: Resource Management in Projects

Module 14: Integration Management

Module 15: Procurement Management

Module 16: Sustainability in Project Management

Module 17: Ethics and Governance in Project Management

Module 18: Continuous Improvement in Project Management

Here's What You'll Learn:

Module 1: Introduction to Survey Data and SPSS

Module 2: Data Preparation and Management in SPSS

Module 3: Descriptive Statistics for Survey Data

Module 4: Visualizing Survey Data

Module 5: Hypothesis Testing Fundamentals

Module 6: Comparing Means (T-tests and ANOVA)

Module 7: Analyzing Relationships Between Categorical Variables (Chi-Square)

Module 8: Correlation and Regression Analysis

Module 9: Reliability and Factor Analysis

Module 10: Advanced Topics and Reporting Survey Findings

Here's What You'll Learn:

Module 1: Introduction to Drones and Remote Sensing

Module 2: Drone Technology and Components

Module 3: Regulations, Safety, and Ethics in Drone Operations

Module 4: Principles of Photogrammetry for Drone Data

Module 5: Mission Planning and Data Acquisition

Module 6: Ground Control Points (GCPs) and Surveying Techniques

Module 7: Photogrammetric Software and Processing Workflows

Module 8: Generating Orthomosaics and Digital Surface Models (DSMs)

Module 9: Generating Digital Terrain Models (DTMs) and Point Clouds

Module 10: Advanced Photogrammetric Products and Deliverables

Module 11: Multispectral and Hyperspectral Drone Remote Sensing

Module 12: Thermal and Lidar Drone Remote Sensing

Module 13: Data Quality Assessment and Accuracy Validation

Module 14: Integrating Drone Data with GIS

Module 15: Applications of Drone Remote Sensing and Photogrammetry

Module 16: Data Management and Storage for Drone Data

Module 17: Advanced Analytics and Automation with Drone Data

Module 18: Future Trends and Emerging Technologies in Drone Remote Sensing

Here's What You'll Learn:

Module 1: Business Combinations and Consolidated Financial Statements (IFRS 3 & IFRS 10)

Module 2: Financial Instruments - Recognition, Measurement, and Derecognition (IFRS 9)

Module 3: Financial Instruments - Presentation and Disclosures (IAS 32 & IFRS 7)

Module 4: Employee Benefits (IAS 19)

Module 5: Income Taxes (IAS 12)

Module 6: Provisions, Contingent Liabilities, and Contingent Assets (IAS 37)

Module 7: Leases (IFRS 16)

Module 8: Revenue from Contracts with Customers (IFRS 15)

Module 9: Investment Property (IAS 40) and Property, Plant and Equipment (IAS 16)

Module 10: Presentation of Financial Statements (IAS 1) and Accounting Policies, Changes in Accounting Estimates and Errors (IAS 8)

Module 1: Introduction to Livestock Management and Health

Module 2: Animal Anatomy, Physiology, and Nutrition

Module 3: Livestock Breeding Systems and Genetic Improvement

Module 4: Common Livestock Diseases in Kenya

Module 5: Livestock Disease Prevention and Biosecurity

Module 6: Livestock Feeding and Ration Formulation

Module 7: Reproductive Management in Livestock

Module 8: Housing and Handling of Livestock

Module 9: Livestock Production Economics and Marketing

Module 10: Modern Technologies in Livestock Management

Here's What You'll Learn:

Module 1: Fundamentals of Radar Remote Sensing

Module 2: Radar Systems and Data Characteristics

Module 3: Radar Data Pre-processing

Module 4: Radar Image Interpretation and Enhancement

Module 5: Radar Applications in Land Cover and Agriculture

Module 6: Radar Applications in Hydrology and Disaster Management

Module 7: Interferometric Synthetic Aperture Radar (InSAR) Principles

Module 8: InSAR Data Processing and Applications

Module 9: Polarimetric SAR (PolSAR) Principles and Applications

Module 10: Advanced Radar Concepts and Case Studies

Here's What You'll Learn:

Module 1: Introduction to Spatial Analysis and QGIS

Module 2: Vector Data Geoprocessing

Module 3: Raster Data Analysis

Module 4: Working with Attribute Data and Joins

Module 5: Advanced Vector Geoprocessing Tools

Module 6: DEM and Terrain Analysis

Module 7: Network Analysis

Module 8: Geostatistics and Interpolation

Module 9: Advanced Spatial Analysis Techniques

Module 10: Automating Geoprocessing with Graphical Modeler and Python

Here's What You'll Learn:

Module 1: Introduction to GIS for Agriculture and Food Security

Module 2: Agricultural Data Management and Acquisition

Module 3: Spatial Analysis for Crop and Land Management

Module 4: Remote Sensing for Agricultural Monitoring

Module 5: Precision Agriculture and Site-Specific Management

Module 6: GIS for Livestock and Rangeland Management

Module 7: Food Security Analysis and Vulnerability Mapping

Module 8: Climate Change Impacts on Agriculture and Adaptation Strategies

Module 9: GIS for Agricultural Policy and Planning

Module 10: Case Studies and Advanced Applications in Agri-GIS

Here's What You'll Learn:

Module 1: Introduction to Satellite Remote Sensing

Module 2: Satellite Image Characteristics and Data Formats

Module 3: Radiometric Correction of Satellite Images

Module 4: Geometric Correction and Image Registration

Module 5: Image Enhancement Techniques

Module 6: Spectral Indices and Band Combinations

Module 7: Supervised Image Classification

Module 8: Unsupervised Image Classification

Module 9: Accuracy Assessment of Classified Images

Module 10: Introduction to Satellite Image Analysis Software

Here's What You'll Learn:

Module 1: Introduction to Qualitative Research & NVivo

Module 2: Setting up Your NVivo Project

Module 3: Importing and Organizing Data

Module 4: Initial Coding and Node Management

Module 5: Advanced Coding Techniques

Module 6: Working with Cases and Classifications

Module 7: Queries and Exploring Your Data

Module 8: Visualizing and Presenting Findings

Module 9: Collaborative Projects and Data Security

Module 10: Advanced Features and Mixed Methods

Here's What You'll Learn:

Module 1: Foundations of Internal Auditing

Module 2: Risk Assessment and Management

Module 3: Internal Control Frameworks (COSO)

Module 4: Audit Planning and Execution

Module 5: Audit Evidence and Documentation

Module 6: Reporting Audit Findings and Recommendations

Module 7: Follow-Up and Monitoring

Module 8: Fraud Detection and Prevention

Module 9: IT Auditing Basics

Module 10: Internal Audit and Corporate Governance

Here's What You'll Learn:

Module 1: Introduction to GIS for Public Health and Epidemiology

Module 2: Health Data Acquisition and Management

Module 3: Spatial Analysis of Health Data

Module 4: Disease Mapping and Cluster Analysis

Module 5: Environmental Health and Exposure Assessment

Module 6: Healthcare Access and Service Planning

Module 7: GIS for Disease Surveillance and Outbreak Management

Module 8: Health Equity and Social Determinants of Health

Module 9: Communicating Health Information through Maps

Module 10: Case Studies and Advanced Public Health GIS Applications

Here’s What You’ll Learn:

Module 1: Introduction to the Banking Industry

Module 2: Core Banking Products and Services

Module 3: Account Opening and Customer Onboarding

Module 4: Deposit Operations and Management

Module 5: Lending Operations and Credit Management

Module 6: Payment Systems and Transactions

Module 7: Treasury Functions and Foreign Exchange

Module 8: Compliance and Regulatory Framework in Banking

Module 9: Customer Service and Relationship Management in Banking

Module 10: Risk Management in Banking Operations

Here's What You'll Learn:

Module 1: Foundational Data Concepts and Stata Interface

Module 2: Advanced Quantitative Data Manipulation in Stata

Module 3: Descriptive Statistics and Data Visualization in Stata

Module 4: Inferential Statistical Analysis using Stata

Module 5: Introduction to Qualitative Data Analysis and NVivo

Module 6: Preparing and Importing Qualitative Data into NVivo

Module 7: Systematic Coding and Node Management in NVivo

Module 8: Exploring Themes and Patterns with NVivo Queries

Module 9: Integrating Quantitative and Qualitative Findings (Mixed Methods)

Module 10: Reporting, Dissemination, and Ethical Data Practices

Here's What You'll Learn:

Module 1: Introduction to Soil Health and Fertility

Module 2: Soil Physical Properties and Their Management

Module 3: Soil Chemical Properties and Nutrient Cycling

Module 4: Soil Biology and the Soil Food Web

Module 5: Organic Matter Management and Composting

Module 6: Sustainable Nutrient Management and Fertilizers

Module 7: Soil Conservation and Erosion Control

Module 8: Integrated Soil Health Assessment and Monitoring

Module 9: Managing Problematic Soils

Module 10: Developing a Holistic Soil Health Plan

Here's What You'll Learn:

Module 1: Introduction to Remote Sensing

Module 2: Satellite and Airborne Imaging Systems

Module 3: Digital Image Characteristics and Formats

Module 4: Basic Image Preprocessing Techniques

Module 5: Image Enhancement for Visual Interpretation

Module 6: Spectral Analysis and Image Classification

Module 7: Introduction to Change Detection

Module 8: Accuracy Assessment of Remote Sensing Data

Module 9: Introduction to Remote Sensing Software and Data Sources

Module 10: Applications of Remote Sensing in Various Fields

Here's What You'll Learn:

Module 1: Introduction to Google Earth Engine (GEE)

Module 2: GEE User Interface and Data Exploration

Module 3: Working with Satellite Imagery in GEE

Module 4: Basic Image Processing and Visualization

Module 5: Time Series Analysis with GEE

Module 6: Vector Data Processing and Analysis

Module 7: Cloud Computing Concepts and GEE Scalability

Module 8: Introduction to Machine Learning in GEE

Module 9: Exporting Results and Advanced Applications

Module 10: Building Interactive Applications with GEE

Here's What You'll Learn:

Module 1: Introduction to Web GIS and Online Mapping

Module 2: Web Mapping Technologies and Architecture

Module 3: Working with Online Basemaps and Data Services

Module 4: Publishing Spatial Data as Web Services

Module 5: Developing Interactive Web Maps with Open-Source Libraries

Module 6: Spatial Data Visualization on the Web

Module 7: Integrating External Data and APIs

Module 8: Introduction to Web GIS Applications

Module 9: Cloud-Based GIS Platforms and Solutions

Module 10: Building a Complete Web GIS Application

Here's What You'll Learn:

Module 1: Understanding the Media Landscape

Module 2: Developing Effective Media Strategies

Module 3: Crafting Compelling Messages

Module 4: Mastering Interview Techniques

Module 5: Handling Difficult Questions and Crises

Module 6: Digital Media and Social Platforms

Module 7: Building Media Relationships

Module 8: Measuring Media Relations Success

Module 9: Legal and Ethical Considerations in Media Relations

Module 10: Advanced Interview Scenarios and Personal Branding

Here's What You'll Learn:

Module 1: Introduction to Stata and Data Management

Module 2: Simple Linear Regression Model

Module 3: Multiple Linear Regression

Module 4: Hypothesis Testing and Confidence Intervals

Module 5: Violations of Ordinary Least Squares (OLS) Assumptions

Module 6: Panel Data Analysis: Fixed Effects Models

Module 7: Panel Data Analysis: Random Effects Models

Module 8: Instrumental Variables Estimation

Module 9: Introduction to Time Series Analysis

Module 10: Limited Dependent Variable Models

Here's What You'll Learn:

Module 1: SurveyCTO Fundamentals and Server Setup

Module 2: Designing Forms with the Online Form Designer

Module 3: Advanced Form Logic and Validation (XPath Functions)

Module 4: Working with External Datasets and Pre-loading Data

Module 5: Data Collection using SurveyCTO Collect and Web Forms

Module 6: Real-Time Data Monitoring and Quality Control

Module 7: Data Management, Export, and Synchronization

Module 8: Introduction to Geospatial Data Collection and Mapping

Module 9: Advanced Features: Case Management and Audit Trails

Module 10: Data Security, Privacy, and Best Practices

Here's What You'll Learn:

Module 1: Foundational Research Skills and Topic Selection

Module 2: The Literature Review Strategy and Theoretical Framework

Module 3: Developing the Research Problem, Questions, and Objectives

Module 4: Research Design and Methodology Selection

Module 5: Data Collection Instruments and Pilot Testing

Module 6: Ethical Clearance and Proposal Writing Mechanics

Module 7: Data Analysis Planning and Software Preparation

Module 8: Thesis Structure, Drafting, and Chapter Development

Module 9: Academic Writing, Citation, and Plagiarism Management

Module 10: Thesis Defense Preparation and Submission

Here’s what you’ll learn:

Module 1: Introduction to Customer Analytics

Module 2: Data Visualization Basics

Module 3: Advanced Data Analysis Techniques

Module 4: Dashboard Design and Development

Module 5: Customer Segmentation and Profiling

Module 6: Predictive Customer Analytics

Module 7: Marketing Analytics

Module 8: Customer Lifetime Value Analysis

Module 9: Customer Satisfaction and Feedback Analysis

Module 10: Future Trends in Customer Analytics

Here's What You'll Learn:

Module 1: Fundamentals of Remote Sensing for Land Cover/Use

Module 2: Data Acquisition and Pre-processing for Change Detection

Module 3: Visual Interpretation and Basic Change Detection Methods

Module 4: Image Differencing and Change Vector Analysis

Module 5: Post-Classification Change Detection

Module 6: Advanced Change Detection Techniques (e.g., Regression, Machine Learning)

Module 7: Integrating Time-Series Data for Change Monitoring

Module 8: Accuracy Assessment and Validation of Change Detection

Module 9: Applications of Land Cover/Use Change Detection

Module 10: Project Work and Advanced Topics

Module 1: Introduction to Integrated Pest and Disease Management (IPDM)

Module 2: Pest and Disease Identification and Monitoring

Module 3: Biological Control Methods in IPDM

Module 4: Cultural and Physical Control Methods in IPDM

Module 5: Understanding Pest and Disease Life Cycles and Epidemiology

Module 6: Judicious Use of Chemical Pesticides in IPDM

Module 7: Agro-ecosystem Analysis for IPDM

Module 8: Developing and Implementing IPDM Programs

Module 9: IPM for Specific Crops and Farming Systems in Kenya

Module 10: Communication and Extension of IPDM Practices

Here's What You'll Learn:

• Introduction to Healthcare Data Analytics: Importance, data types (clinical, admin, financial), data sources (EHRs, claims), ethical considerations, data privacy (HIPAA).
• Introduction to Power BI: Components (Desktop, Service, Mobile), setup, connecting to data sources, interface, publishing reports.
• Data Cleaning and Transformation: Techniques (missing values, duplicates), Power Query Editor, data type conversion, filtering, calculated columns/measures.
• Data Modeling: Concepts, relationships, star schema, hierarchies, performance optimization.
• DAX Functions and Calculations: Introduction to DAX, basic functions (SUM, AVERAGE), time intelligence, conditional logic, custom measures.
• Report Design and Visualization: Visualization types, interactive reports, slicers/filters, formatting, best practices.
• Interactive Dashboards: Designing dashboards, drill-down, cross-filtering, data storytelling, stakeholder-specific dashboards, mobile design.
• Data Storytelling and Communication: Communicating insights, compelling stories, audience-specific presentations, data visualization for decision-making.
• Advanced Power BI Features: Desktop features (bookmarks, tooltips), Service features (refresh, sharing), embedding reports, integration with other tools.
• Applying Power BI to Healthcare Challenges: Patient outcomes analysis, hospital performance visualization, clinical quality indicators tracking, financial data analysis, operational efficiency improvement.

Here's What You'll Learn:

Module 1: Introduction to Post-Harvest Management and Food Processing

Module 2: Principles of Post-Harvest Handling and Storage

Module 3: Food Preservation Technologies

Module 4: Food Quality Control and Safety

Module 5: Processing of Grains and Cereals

Module 6: Processing of Fruits and Vegetables

Module 7: Processing of Dairy and Meat Products

Module 8: Packaging and Labeling of Food Products

Module 9: Food Waste Reduction and Value Addition

Module 10: Food Business Development and Regulations

Module 1: Introduction to MEAL for Agricultural Projects

Module 2: Designing MEAL Systems for Agricultural Projects

Module 3: Participatory Data Collection Techniques

Module 4: Data Management and Storage

Module 5: Data Analysis and Interpretation

Module 6: Impact Evaluation in Agricultural Projects

Module 7: Accountability Mechanisms for Agricultural Projects

Module 8: Integrating Learning into Agricultural Projects

Module 9: Using MEAL Findings in Agricultural Projects

Module 10: Reporting and Communicating MEAL Results

Here's What You'll Learn:

Module 1: Understanding Climate Change and the Energy Landscape

Module 2: Solar Photovoltaic (PV) Technology

Module 3: Wind Energy Systems

Module 4: Hydropower and Geothermal Energy

Module 5: Bioenergy and Waste-to-Energy Technologies

Module 6: Energy Storage Solutions

Module 7: Grid Integration and Smart Grids

Module 8: Energy Efficiency and Conservation

Module 9: Climate Change Mitigation Policies and Strategies

Module 10: Project Development and Financing for Renewable Energy

Here’s What You’ll Learn:

Module 1: Foundations of Forensic Accounting

Module 2: Fraud Schemes and Typologies

Module 3: The Fraud Investigation Process

Module 4: Gathering and Analyzing Evidence

Module 5: Interviewing and Interrogation Techniques

Module 6: Digital Forensics and Cybercrime

Module 7: Reporting and Communicating Findings

Module 8: Legal Aspects of Fraud Examination

Module 9: Prevention and Internal Controls

Module 10: Capstone Project: Mock Fraud Investigation

Here's What You'll Learn:

Module 1: Introduction to Agricultural Marketing and Value Chains

Module 2: Market Analysis and Demand Assessment

Module 3: Post-Harvest Management and Quality Control

Module 4: Value Addition and Product Development

Module 5: Market Channels and Distribution Strategies

Module 6: Pricing Strategies and Market Information Systems

Module 7: Contract Farming and Producer Organizations

Module 8: Digital Marketing and E-commerce in Agriculture

Module 9: Food Safety Standards and Certifications

Module 10: Financing Agricultural Value Chains and Risk Management

Here's What You'll Learn:

Module 1: Introduction to Climate Change and Climate-Smart Agriculture

Module 2: Climate-Smart Crop Production Practices

Module 3: Climate-Smart Livestock Management

Module 4: Sustainable Water Management in Agriculture

Module 5: Soil Health Management for Climate Resilience

Module 6: Agroforestry and Diversified Farming Systems

Module 7: Climate Information Services for Farmers

Module 8: Risk Management and Climate Change Adaptation Strategies

Module 9: Policy and Institutional Frameworks for CSA

Module 10: Economic Benefits and Scaling Up Climate-Smart Agriculture

Here's What You'll Learn:

Module 1: Understanding Climate Change and Greenhouse Gases

Module 2: Energy Efficiency and Conservation

Module 3: Renewable Energy Technologies

Module 4: Sustainable Transport and Urban Planning

Module 5: Industrial Emissions Reduction

Module 6: Waste Management and Circular Economy

Module 7: Carbon Sequestration and Land Use

Module 8: Policy, Regulations, and Carbon Markets

Module 9: Green Building and Infrastructure

Module 10: Developing and Implementing GHG Reduction Strategies

Here's What You'll Learn:

Module 1: Foundations of Natural Resource Management and Geospatial Technologies

Module 2: Remote Sensing Data for Natural Resource Mapping

Module 3: GIS Data Models and Management for Natural Resources

Module 4: Forest Resources Management

Module 5: Water Resources Management

Module 6: Land Resources and Soil Mapping

Module 7: Wildlife and Biodiversity Monitoring

Module 8: Coastal and Marine Resource Management

Module 9: Geological and Mineral Resources Mapping

Module 10: Environmental Impact Assessment (EIA) and Strategic Environmental Assessment (SEA)

Module 11: Geospatial Analysis for Conservation Planning

Module 12: Fire Management and Hazard Mapping

Module 13: Geospatial Modeling for Resource Assessment

Module 14: Integrating Field Data with Remote Sensing and GIS

Module 15: Policy, Governance, and Legal Aspects of NRM

Module 16: Communication and Visualization of NRM Data

Module 17: Emerging Trends in Geospatial NRM

Module 18: Capstone Project: Integrated NRM Application

Here’s What You’ll Learn:

Module 1: Introduction to Financial Management

Module 2: Analyzing Financial Statements

Module 3: The Time Value of Money

Module 4: Financial Planning and Forecasting

Module 5: Working Capital Management

Module 6: Capital Budgeting and Investment Decisions

Module 7: Cost of Capital and Capital Structure

Module 8: Financial Risk Management

Module 9: Raising Capital and Corporate Governance

Module 10: Capstone Project: Financial Analysis and Strategy

Here’s What You’ll Learn:

Module 1: Introduction to Payroll Management and Kenyan Statutory Deductions

Module 2: Understanding the Legal and Regulatory Framework for Payroll in Kenya

Module 3: Setting Up and Managing Employee Records for Payroll in Kenya

Module 4: Calculating Gross Pay and Allowances in Kenya

Module 5: Calculating and Remitting Pay As You Earn (PAYE) in Kenya

Module 6: Calculating and Remitting National Social Security Fund (NSSF) Contributions in Kenya

Module 7: Calculating and Remitting National Hospital Insurance Fund (NHIF) Contributions in Kenya

Module 8: Other Statutory and Voluntary Deductions in Kenya

Module 9: Payroll Processing, Reporting, and Record Keeping in Kenya

Module 10: Best Practices and Emerging Trends in Payroll Management in Kenya

Here's What You'll Learn:

Module 1: Introduction to Donor-Funded Project Financial Management

Module 2: Project Budgeting and Planning

Module 3: Financial Reporting and Accountability

Module 4: Funds Flow Management

Module 5: Procurement and Contract Management

Module 6: Asset Management and Control

Module 7: Risk Management and Internal Controls

Module 8: Audit and Compliance

Module 9: Financial Management Information Systems (FMIS)

Module 10: Project Closure and Financial Reconciliation

Here's What You'll Learn:

Module 1: Foundations of PR Ethics

Module 2: Professional Codes and Guidelines

Module 3: Truth, Transparency, and Disclosure

Module 4: Ethical Decision-Making in PR

Module 5: Reputation Management and Crisis Communication

Module 6: Privacy, Data Protection, and Confidentiality

Module 7: Diversity, Equity, Inclusion, and Social Responsibility

Module 8: Ethical Issues in Digital and Social Media PR

Module 9: Legal and Regulatory Frameworks

Module 10: Building an Ethical PR Culture

Here's What You'll Learn:

• Introduction: Overview of the pharmaceutical industry, key stakeholders, importance for public health, challenges/opportunities, ethical considerations.
• Procurement: Planning/budgeting, supplier selection, tender management, quality assurance, international procurement.

Warehousing & Inventory: Warehouse design, inventory control, storage/handling, cold chain management, inventory tracking/reporting.

• Distribution: Models/strategies, transportation/logistics, last-mile delivery, security/traceability, reverse logistics/waste management.
• Quality Assurance: Good Manufacturing Practices (GMP), quality control, regulatory affairs, counterfeit medicines, product recall/adverse event reporting.
• Regulatory Compliance: National/international regulations, drug registration/licensing, import/export regulations, pharmacovigilance, ethical considerations.
• Risk Management: Risk identification/assessment, mitigation strategies, business continuity, disaster preparedness/response, security/anti-counterfeiting.
• Supply Chain Information Systems: Importance, inventory management systems, track and trace technologies, data analytics/reporting, electronic data interchange (EDI).
• Specific Considerations: Managing controlled substances, temperature-sensitive products, short-dated products, medicine donations, public-private partnerships.
• Emerging Trends: Role of technology (blockchain, AI), sustainable supply chains, global health security, future of supply chain management.

Module 1: Introduction to Results-Based Monitoring and Evaluation

Module 2: Designing RBM&E Systems

Module 3: Data Collection Techniques

Module 4: Data Management and Storage

Module 5: Data Analysis and Interpretation

Module 6: Impact Evaluation

Module 7: Integrating Learning into Projects

Module 8: Using RBM&E Findings

Module 9: Addressing RBM&E Challenges

Module 10: Reporting and Communicating RBM&E Results

Here's What You'll Learn:

Module 1: Introduction to Cost Accounting and Concepts

Module 2: Cost Behavior Analysis

Module 3: Job Order Costing

Module 4: Process Costing

Module 5: Activity-Based Costing (ABC)

Module 6: Standard Costing and Variance Analysis

Module 7: Budgeting and Budgetary Control

Module 8: Cost Control and Performance Measurement

Module 9: Relevant Costs for Decision Making

Module 10: Advanced Topics in Cost Accounting

Here's What You'll Learn:

Module 1: Introduction to GIS and Public Health in Humanitarian Contexts

Module 2: Geospatial Data Collection and Management for Health Emergencies

Module 3: Core QGIS Functionalities for Public Health Analysis

Module 4: Spatial Epidemiology and Advanced Disease Mapping

Module 5: Environmental Health Risk Assessment and Mapping

Module 6: Healthcare Access, Resource Allocation, and Service Delivery Optimization

Module 7: Population Mapping, Vulnerability, and Displacement Analysis

Module 8: Introduction to Epi Info for Epidemiological Data Management

Module 9: Advanced Epi Info Data Analysis and Survey Design

Module 10: Integrating Epi Info and Other Health Data with QGIS

Module 11: Geocoding and Address Matching for Public Health Data

Module 12: Network Analysis for Health Logistics and Access

Module 13: Time Series and Spatio-Temporal Analysis for Outbreaks

Module 14: Automated Mapping and Reporting with QGIS

Module 15: Introduction to Remote Sensing for Public Health

Module 16: Data Quality, Ethics, and Privacy in Humanitarian GIS

Module 17: Web-Based GIS for Public Health Information Sharing

Module 18: Applied Project: End-to-End GIS for Public Health in Crisis

Here's What You'll Learn:

Module 1: Foundations of Effective Communication

Module 2: Mastering Verbal Communication

Module 3: Non-Verbal and Listening Skills

Module 4: Communicating with Confidence and Assertiveness

Module 5: Interpersonal Communication and Emotional Intelligence

Module 6: Business Writing and Digital Communication

Module 7: Delivering Powerful Presentations

Module 8: Conflict Resolution and Difficult Conversations

Module 9: Cross-Cultural Communication

Module 10: Building and Maintaining Professional Relationships

Here's What You'll Learn:

Module 1: Foundations of Financial Modeling

Module 2: Building the Income Statement Model

Module 3: Building the Balance Sheet Model

Module 4: Building the Cash Flow Statement Model

Module 5: Forecasting Techniques and Assumptions

Module 6: Working Capital Modeling

Module 7: Debt and Equity Modeling

Module 8: Introduction to Valuation Modeling (DCF)

Module 9: Sensitivity and Scenario Analysis

Module 10: Presenting Financial Model Outputs

Here’s What You’ll Learn:

Module 1: The Financial Environment of Startups and SMEs

Module 2: Financial Planning and Budgeting

Module 3: Sources of Finance and Funding

Module 4: Financial Statements and Analysis

Module 5: Cash Flow Management

Module 6: Pricing Strategy and Revenue Management

Module 7: Risk Management and Internal Controls

Module 8: Valuation and Investor Relations

Module 9: Legal and Regulatory Compliance

Module 10: Capstone Project: Developing a Financial Plan

Here’s What You’ll Learn:

Module 1: Introduction to Taxation Principles and the Kenyan Tax System

Module 2: Income Tax in Kenya: Individuals and Corporations

Module 3: Value Added Tax (VAT) in Kenya: Principles and Application

Module 4: Excise Duty in Kenya: Scope and Administration

Module 5: Customs Duty and Import/Export Taxes in Kenya

Module 6: Tax Administration and Procedures in Kenya: KRA and Taxpayer Obligations

Module 7: Tax Planning and Compliance in Kenya

Module 8: Tax Offences, Penalties, and Dispute Resolution in Kenya

Module 9: Emerging Issues and Trends in Kenyan Taxation

Module 10: Practical Application and Case Studies in Kenyan Taxation

Module 1: Introduction to Climate Change and the Need for Climate Finance

Module 2: Understanding Carbon Markets: Compliance Mechanisms

Module 3: Understanding Carbon Markets: Voluntary Mechanisms

Module 4: International Climate Finance Architecture

Module 5: Project Development and Financing for Climate Action

Module 6: Accessing Climate Finance: Proposal Writing and Requirements

Module 7: Carbon Market Project Development and Implementation

Module 8: Article 6 of the Paris Agreement and New Market Mechanisms

Module 9: Risk Management and Governance in Climate Finance and Carbon Markets

Module 10: The Role of the Private Sector and Future Trends in Climate Finance and Carbon Markets

Module 1: Introduction to Oil and Gas Project Management

Module 2: Project Planning and Scheduling

Module 3: Risk Management in Oil and Gas Projects

Module 4: Stakeholder Engagement and Communication

Module 5: Quality Management and Assurance

Module 6: Health, Safety, and Environment (HSE) Management

Module 7: Procurement and Contract Management

Module 8: Project Execution and Control

Module 9: Environmental Considerations in Oil and Gas Projects

Module 10: Project Closure and Lessons Learned

Here’s What You’ll Learn:

Module 1: Foundations of Corporate Finance

Module 2: The Time Value of Money

Module 3: Sources of Long-Term Finance

Module 4: Sources of Short-Term Finance

Module 5: Introduction to Capital Structure

Module 6: Theories of Capital Structure

Module 7: Cost of Capital

Module 8: Working Capital Management

Module 9: Capital Budgeting and Investment Decisions

Module 10: Capstone Project: Developing a Capital Structure Plan

Here's What You'll Learn:

Module 1: Introduction to ICT in M&E

Module 2: M&E Frameworks and Data Needs

Module 3: Digital Data Collection Tools and Mobile M&E (mM&E)

Module 4: Data Management and Quality Assurance

Module 5: Data Visualization and Reporting Tools

Module 6: Geospatial Data and GIS for M&E

Module 7: Cloud-Based M&E Platforms

Module 8: Introduction to Big Data in M&E

Module 9: Data Security, Privacy, and Ethics in ICT4M&E

Module 10: Leveraging ICT for Real-Time M&E

Module 11: ICT for Impact Evaluation

Module 12: Knowledge Management and Learning Systems

Module 13: Integrating ICT in M&E Planning

Module 14: Data Analysis with ICT Tools (Basic)

Module 15: Introduction to Emerging Technologies for M&E

Module 16: Building M&E Dashboards and Infographics

Module 17: Developing an ICT4M&E Strategy

Module 18: Case Studies and Best Practices in ICT4M&E

Here's What You'll Learn:

Module 1: Foundations of Corporate Finance

Module 2: Capital Budgeting Techniques

Module 3: Cost of Capital

Module 4: Financial Statement Analysis

Module 5: Business Valuation: Discounted Cash Flow (DCF) Method

Module 6: Business Valuation: Multiples-Based Valuation

Module 7: Mergers and Acquisitions (M&A)

Module 8: Capital Structure Decisions

Module 9: Dividend Policy

Module 10: Risk Management and Financial Planning

Here's What You'll Learn:

Module 1: Introduction to Management Accounting and Cost Concepts

Module 2: Cost Accounting Systems

Module 3: Cost-Volume-Profit (CVP) Analysis

Module 4: Budgeting and Budgetary Control

Module 5: Standard Costing and Variance Analysis

Module 6: Performance Measurement

Module 7: Relevant Costing for Decision Making

Module 8: Pricing Strategies

Module 9: Capital Investment Decisions

Module 10: Activity-Based Costing (ABC) and Strategic Management Accounting

Here's What You'll Learn:

Module 1: Introduction to Stata and M&E Concepts

Module 2: Data Management and Preparation in Stata

Module 3: Descriptive Analysis for M&E Data

Module 4: Monitoring and Indicator Tracking

Module 5: Hypothesis Testing for Impact Evaluation

Module 6: Introduction to Regression Analysis

Module 7: Advanced Regression Models for M&E

Module 8: Qualitative and Mixed-Methods Data Analysis

Module 9: Data Visualization for M&E Reports

Module 10: Project-Based Application: End-to-End M&E Analysis

Here's What You'll Learn:

Module 1: Introduction to Climate Finance and Global Climate Frameworks

Module 2: Key Sources and Instruments of Climate Finance

Module 3: Project Design for Climate Finance

Module 4: Developing Bankable Climate Projects

Module 5: Accessing Multilateral Climate Funds

Module 6: Bilateral and Philanthropic Climate Funding

Module 7: Private Sector Engagement in Climate Finance

Module 8: Monitoring, Reporting, and Verification (MRV) in Climate Projects

Module 9: Climate Finance Readiness and Proposal Writing

Module 10: Case Studies and Emerging Trends in Climate Finance

Here's What You'll Learn:

Module 1: Foundations of Survey Research and Total Survey Error

Module 2: Survey Design Process and Questionnaire Development

Module 3: Crafting Effective Survey Questions and Response Formats

Module 4: Sampling Methods and Coverage Error

Module 5: Modes of Data Collection and Administration

Module 6: Measurement Error: Validity and Reliability

Module 7: Pre-testing, Cognitive Interviews, and Pilot Studies

Module 8: Data Processing, Cleaning, and Ethical Considerations

Module 9: Non-response and Weighting Adjustments

Module 10: Survey Data Analysis and Reporting Findings

Here's What You'll Learn:

Module 1: Foundations of Culture and Communication

Module 2: Cultural Dimensions and Models

Module 3: Verbal Communication Across Cultures

Module 4: Non-Verbal Communication and Cultural Cues

Module 5: Navigating Cultural Differences in Business and Workplaces

Module 6: Building Intercultural Relationships and Trust

Module 7: Managing Conflict in Cross-Cultural Settings

Module 8: Cross-Cultural Negotiation and Decision-Making

Module 9: Adapting Communication Styles for Global Success

Module 10: Developing Intercultural Competence and Continuous Learning

Here's What You'll Learn:

Module 1: Foundations of Cash Flow and Working Capital Management

Module 2: Advanced Cash Flow Forecasting

Module 3: Optimizing Accounts Receivable Management

Module 4: Inventory Management Strategies

Module 5: Accounts Payable Management

Module 6: Cash Management Techniques

Module 7: Working Capital Financing

Module 8: Cash Flow and Working Capital in a Global Context

Module 9: Using Technology for Cash Flow and Working Capital Management

Module 10: Advanced Topics in Cash Flow and Working Capital

Here's What You'll Learn:

Module 1: Foundations of Time Management

Module 2: Prioritization and Goal Setting

Module 3: Planning and Scheduling Techniques

Module 4: Overcoming Procrastination and Distractions

Module 5: Email and Digital Workflow Management

Module 6: Time Management for Meetings and Projects

Module 7: Delegation and Saying 'No'

Module 8: Managing Energy, Not Just Time

Module 9: Work-Life Integration and Boundaries

Module 10: Creating a Personal Time Management System

Module 1: Introduction to ESIA
Module 2: Scoping and Baseline Studies
Module 3: Impact Identification and Assessment
Module 4: Mitigation and Management Plans
Module 5: Stakeholder Engagement and Public Participation
Module 6: Environmental and Social Management Systems (ESMS)
Module 7: Reporting and Documentation
Module 8: Case Studies and Best Practices
Module 9: Sector-Specific ESIAs
Module 10: Advanced Topics in ESIA

Module 1: Introduction to Monitoring, Evaluation, and Learning

Module 2: Designing MEL Systems

Module 3: Data Collection Techniques

Module 4: Data Management and Storage

Module 5: Data Analysis and Interpretation

Module 6: Impact Evaluation

Module 7: Integrating Learning into Projects

Module 8: Using MEL Findings

Module 9: Addressing MEL Challenges

Module 10: Reporting and Communicating MEL Result

Here’s What You’ll Learn:

Module 1: Fundamentals of Islamic Finance

Module 2: Shariah Law and Financial Contracts

Module 3: Islamic Banking and Financial Products

Module 4: Sukuk and Capital Markets

Module 5: Takaful and Islamic Insurance

Module 6: Islamic Wealth Management

Module 7: Microfinance and Social Finance

Module 8: Regulatory and Legal Framework

Module 9: Globalization and Future of Islamic Finance

Module 10: Capstone Project: Developing an Islamic Financial Product

Here's What You'll Learn:

Module 1: Introduction to Financial Statements

Module 2: Profitability Analysis

Module 3: Liquidity and Working Capital Management

Module 4: Solvency and Financial Risk

Module 5: Cash Flow Analysis

Module 6: Ratio Analysis

Module 7: Trend Analysis

Module 8: Financial Statement Analysis for Investment Decisions

Module 9: Financial Statement Analysis for Performance Management

Module 10: Special Topics in Financial Statement Analysis

Here's What You'll Learn:

Module 1: Introduction to Aquaculture

Module 2: Site Selection and Pond Construction

Module 3: Fish Species Selection

Module 4: Water Quality Management

Module 5: Fish Nutrition and Feeding

Module 6: Fish Health Management

Module 7: Harvesting and Post-Harvest Handling

Module 8: Farm Management and Economics

Module 9: Sustainable Aquaculture Practices

Module 10: Current Trends and Innovations in Aquaculture in Kenya

Here's What You'll Learn:

Module 1: Introduction to Urban Agriculture and Food Security

Module 2: Principles of Urban Permaculture and Ecological Design

Module 3: Urban Farming Techniques and Technologies

Module 4: Soil Health and Nutrient Management in Urban Settings

Module 5: Water Management and Irrigation for Urban Farms

Module 6: Pest and Disease Management in Urban Agriculture

Module 7: Policy, Planning, and Governance for Urban Agriculture

Module 8: Economic Models and Value Chains in Urban Agriculture

Module 9: Community Engagement and Social Aspects of Urban Agriculture

Module 10: Developing an Urban Agriculture Project Plan

Here's What You'll Learn:

Module 1: Introduction to Investment Appraisal

Module 2: Capital Budgeting Techniques

Module 3: Cash Flow Estimation

Module 4: Risk Analysis in Capital Budgeting

Module 5: Cost of Capital

Module 6: Project Financing

Module 7: Real Options Analysis

Module 8: Capital Rationing

Module 9: Post-Investment Audit

Module 10: International Investment Appraisal

Here's What You'll Learn:

Module 1: Foundations of Renewable Energy and Data  

Module 2: Python Environment Setup and Fundamentals  

Module 3: Data Acquisition and Cleaning for Energy Datasets  

Module 4: Exploratory Data Analysis (EDA) of Solar PV Data  

Module 5: Wind Energy Resource Assessment and Data Preparation  

Module 6: Advanced Time Series Analysis for Energy Data  

Module 7: Introduction to Machine Learning for Renewables  

Module 8: Predictive Modeling for Energy Output Forecasting  

Module 9: Power BI Desktop and Data Modeling Fundamentals  

Module 10: Creating Interactive Solar PV Dashboards in Power BI  

Module 11: Advanced DAX and Calculated Measures  

Module 12: Geospatial Analytics of Renewable Assets  

Module 13: Predictive Maintenance Analytics for Wind Turbines  

Module 14: Financial Modeling and Levelized Cost of Energy (LCOE)  

Module 15: Grid Impact Analysis and Load Profile Modeling  

Module 16: Optimization and Scenario Analysis in Renewable Projects  

Module 17: Capstone Project: End-to-End Analytics Workflow  

Module 18: Communicating Insights and Data Storytelling

Here's What You'll Learn:

Module 1: Foundations of Real Estate Investment

Module 2: Real Estate Valuation Techniques

Module 3: Financial Analysis for Investment Properties

Module 4: Market Analysis and Due Diligence

Module 5: Investment Strategies and Property Types

Module 6: Financing Real Estate Investments

Module 7: Risk Management in Real Estate

Module 8: Taxation and Legal Aspects of Real Estate Investment

Module 9: Real Estate Development and Project Analysis

Module 10: Portfolio Management and Advanced Strategies

Here's What You'll Learn:

Module 1: Foundations of Literature Review and Research Questions

Module 2: Developing Comprehensive Search Strategies

Module 3: Database Selection and Search Execution

Module 4: Reference Management and Screening Tools

Module 5: Critical Appraisal and Risk of Bias Assessment

Module 6: Data Extraction and Coding for Synthesis

Module 7: Narrative Synthesis and Thematic Grouping

Module 8: Introduction to Meta-Analysis Principles

Module 9: Reporting Standards and Dissemination

Module 10: Writing, Reviewing, and Utilizing the Review

Module 1: Foundations of Nonprofit Financial Accountability

Module 2: Legal, Ethical, and Regulatory Frameworks

Module 3: Strategic Budgeting and Financial Planning

Module 4: Internal Controls, Risk Management, and Fraud Prevention

Module 5: Nonprofit Accounting and Financial Reporting

Module 6: Grant Management and Donor Reporting Compliance

Module 7: Navigating the Nonprofit Audit Process

Module 8: Tax Compliance and Reporting for Nonprofits

Module 9: Role of Governance and Board Financial Oversight

Module 10: Leveraging Technology for Financial Management

Here’s what you will learn

Module 1: Introduction to OHSMS
Module 2: Hazard Identification and Risk Assessment
Module 3: OHSMS Planning and Implementation
Module 4: Training and Awareness
Module 5: OHSMS Documentation and Record-Keeping
Module 6: Emergency Preparedness and Response
Module 7: Performance Evaluation and Monitoring
Module 8: Continuous Improvement in OHSMS
Module 9: Legal and Regulatory Compliance
Module 10: Safety Culture and Leadership

Here's What You'll Learn:

Module 1: Introduction to Clinical Research and Study Designs

Module 2: Ethical Considerations and Regulatory Frameworks in Clinical Research

Module 3: Principles of Clinical Trial Design

Module 4: Data Management in Clinical Research Using Stata

Module 5: Descriptive Statistics and Graphical Methods for Clinical Data in Stata

Module 6: Hypothesis Testing for Comparing Groups in Clinical Research Using Stata

Module 7: Linear Regression Analysis for Clinical Data Using Stata

Module 8: Logistic Regression Analysis for Clinical Data Using Stata

Module 9: Survival Analysis for Time-to-Event Data Using Stata

Module 10: Analysis of Correlated Data in Clinical Research Using Stata

Module 11: Handling Missing Data in Clinical Research Using Stata

Module 12: Interpreting Statistical Output and Drawing Conclusions in Clinical Research

Module 13: Meta-Analysis: Principles and Application in Stata

Module 14: Statistical Programming in Stata for Clinical Research: Introduction to Do-Files

Module 15: Advanced Regression Techniques in Clinical Research Using Stata

Module 16: Causal Inference in Clinical Research: Introduction to Potential Outcomes Framework

Module 17: Analysis of Clustered and Multilevel Data in Clinical Research Using Stata

Module 18: Reporting Statistical Results in Clinical Research Manuscripts and Presentations

Here's What You'll Learn:

Module 1: R Programming Fundamentals for Clinical Data

Module 2: Data Acquisition and Wrangling in R (Tidyverse)

Module 3: Introduction to Clinical Trial Design and Data Management

Module 4: Descriptive Biostatistics and Data Summarization in R

Module 5: Inferential Statistics and Hypothesis Testing in Clinical Research

Module 6: Analysis of Variance (ANOVA) and Non-Parametric Tests

Module 7: Linear and Logistic Regression for Clinical Outcomes

Module 8: Survival Analysis and Time-to-Event Data in R

Module 9: Advanced Clinical Modeling and Sample Size Calculation

Module 10: Principles of Data Visualization for Publication (ggplot2)

Module 11: Communicating Uncertainty and Error in Clinical Graphics

Module 12: Specialty Clinical Visualizations (Forest, Funnel Plots)

Module 13: Power BI Fundamentals and Data Ingestion

Module 14: Data Transformation with Power Query (M Language)

Module 15: Designing Robust Data Models and Relationships (Star Schema)

Module 16: DAX Measures and Key Performance Indicators (KPIs) for Trials

Module 17: Interactive Clinical Dashboard Creation in Power BI

Module 18: Ethical Reporting, Data Governance, and R Integration

Here's What You'll Learn:

Module 1: Introduction to Grant Management and Fundraising

Module 2: Grant Proposal Development

Module 3: Donor Cultivation and Relationship Management

Module 4: Grant Agreement Negotiation and Management

Module 5: Fundraising Techniques and Strategies

Module 6: Financial Management for Fundraising

Module 7: Legal and Ethical Considerations in Fundraising

Module 8: Monitoring and Evaluation of Fundraising Activities

Module 9: Fundraising Communication and Marketing

Module 10: Trends and Innovations in Fundraising

Here's What You'll Learn:

Module 1: Fundamentals of Climate Change and Risk

Module 2: Principles of Climate Risk Assessment

Module 3: Data Collection and Analysis for Vulnerability

Module 4: Assessing Exposure and Sensitivity

Module 5: Evaluating Adaptive Capacity

Module 6: Integrated Climate Risk and Vulnerability Mapping

Module 7: Sectoral Climate Risk Assessment

Module 8: Communicating Climate Risk and Engaging Stakeholders

Module 9: Mainstreaming Climate Risk into Planning

Module 10: Tools and Technologies for Climate Risk Analysis

Here's What You'll Learn:

Module 1: Introduction to Food Security Concepts

Module 2: The Four Pillars of Food Security

Module 3: Measuring and Monitoring Food Insecurity

Module 4: Drivers of Food Insecurity

Module 5: Food Systems Approach to Food Security

Module 6: Policies and Governance for Food Security

Module 7: Climate Change and Food Security

Module 8: Emergency Food Security and Humanitarian Response

Module 9: Sustainable Food Production Systems

Module 10: Developing Food Security Interventions and Strategies

Here's What You'll Learn:

Module 1: Foundations of Sampling and Statistical Inference

Module 2: Simple Random Sampling (SRS) and Estimation

Module 3: Systematic and Cluster Sampling Techniques

Module 4: Stratified Random Sampling

Module 5: Complex Survey Designs: Multi-Stage and Multi-Phase

Module 6: Probability Proportional to Size (PPS) Sampling

Module 7: Non-Probability Sampling Methods and Limitations

Module 8: Sample Size Determination and Power Analysis

Module 9: Bias, Non-response, and Weighting Adjustments

Module 10: Designing a Comprehensive Sampling Plan

Here's What You'll Learn:

Module 1: Foundations of Interpersonal Skills

Module 2: Active Listening and Empathy

Module 3: Effective Communication Strategies

Module 4: Conflict Resolution and Negotiation

Module 5: Building Rapport and Trust

Module 6: Managing Emotions and Self-Awareness

Module 7: Assertiveness vs. Aggression

Module 8: Giving and Receiving Feedback

Module 9: Collaboration and Teamwork

Module 10: Creating a Personal Interpersonal Development Plan

Here's What You'll Learn:

Module 1: Introduction to Epidemiological Data Science

Module 2: Python Fundamentals for Public Health Data

Module 3: Epidemiological Data Acquisition and Cleaning

Module 4: Visualization and Exploratory Data Analysis (EDA)

Module 5: Classic Compartmental Modeling (SIR/SEIR)

Module 6: Time Series Forecasting for Incidence Rates

Module 7: Machine Learning for Outbreak Prediction

Module 8: Geospatial Epidemiology and Spatial Analysis

Module 9: Model Validation, Uncertainty, and Interpretation

Module 10: Communicating Forecasts and Policy Integration

Here's What You'll Learn:

Module 1: Foundations of Nutritional Epidemiology and Assessment

Module 2: Introduction to EPI INFO and Survey Design

Module 3: Creating Questionnaires with EPI INFO Form Designer

Module 4: Data Collection and Mobile Survey Techniques (EPI INFO Companion)

Module 5: Data Management, Cleaning, and Validation in EPI INFO

Module 6: Fundamentals of Anthropometric Data and Calculations

Module 7: Statistical Analysis of Nutritional Data in EPI INFO

Module 8: Interpreting and Presenting Nutritional Survey Results

Module 9: Dietary Assessment Methods and Analysis

Module 10: Advanced Survey Techniques and Qualitative Integration

Here's What You'll Learn:

Module 1: Understanding the B2C Sales Landscape

Module 2: B2C Buyer Psychology and Consumer Behavior

Module 3: Effective B2C Prospecting and Lead Generation

Module 4: Crafting Persuasive B2C Sales Pitches

Module 5: Building Rapport and Trust in B2C Interactions

Module 6: Overcoming Objections and Closing in B2C Sales

Module 7: Enhancing the Customer Experience in B2C Sales

Module 8: Digital Sales and Social Selling in B2C

Module 9: Post-Sale Engagement and Customer Loyalty

Module 10: Ethics and Future Trends in B2C Sales

Here's What You'll Learn:

Module 1: Introduction to NGO Financial Management and QuickBooks

Module 2: Managing Income and Donations in QuickBooks

Module 3: Managing Expenses and Payables in QuickBooks

Module 4: Grant Management in QuickBooks

Module 5: Budgeting and Forecasting for NGOs in QuickBooks

Module 6: Reporting and Financial Statements for NGOs

Module 7: Managing Payroll in QuickBooks

Module 8: Fixed Assets and Depreciation in QuickBooks

Module 9: Reconciling Accounts in QuickBooks

Module 10: Advanced QuickBooks Features for NGOs

Here's What You'll Learn:

Module 1: Foundations of Outbreak Data and R Environment Setup

Module 2: Data Import, Cleaning, and Tidy Data Principles in R

Module 3: Descriptive Epidemiology and Measures in R

Module 4: Advanced Visualization for Outbreaks using ggplot2

Module 5: Introduction to Spatial Epidemiology and Mapping in R

Module 6: Time Series Analysis and Epidemic Curves using R

Module 7: Advanced Epidemiological Modeling with R

Module 8: Introduction to Power BI for Data Connection

Module 9: Data Transformation and M-Query in Power BI

Module 10: Data Modeling and Relationships in Power BI

Module 11: DAX Fundamentals for Public Health Metrics

Module 12: Creating Interactive Outbreak Dashboards in Power BI

Module 13: Geospatial Mapping and Visualization in Power BI

Module 14: Integrating R Visuals into Power BI

Module 15: Forecasting and Predictive Analytics in R

Module 16: Ethics, Data Security, and Confidentiality

Module 17: Automating Refresh and Dashboard Publication

Module 18: Final Capstone Project: End-to-End Analytics

Here's What You'll Learn:

Module 1: Introduction to R and RStudio

Module 2: Data Wrangling with dplyr and tidyr

Module 3: Exploratory Data Analysis and Visualization

Module 4: Descriptive Statistics and Data Summarization

Module 5: Hypothesis Testing and t-Tests

Module 6: ANOVA and Chi-Squared Tests

Module 7: Linear Regression Analysis

Module 8: Multiple Regression and Model Diagnostics

Module 9: Introduction to Time Series Analysis

Module 10: Building an End-to-End Statistical Project

Here's What You'll Learn:

Module 1: Foundations of Negotiation

Module 2: The Preparation Phase

Module 3: Communication and Psychology in Negotiation

Module 4: Dealing with Difficult Situations

Module 5: Advanced Strategies and Tactics

Module 6: Building Relationships and Trust

Module 7: Cross-Cultural Negotiation

Module 8: Negotiating in Teams

Module 9: Ethics and Legal Aspects of Negotiation

Module 10: Creating a Personal Negotiation Plan

Here's What You'll Learn:

Module 1: Introduction to Disaster Management and GIS

Module 2: GIS Fundamentals for Emergency Response

Module 3: Geospatial Data Sources for Disaster Management

Module 4: Data Collection and Field Mapping in Disasters

Module 5: Hazard Mapping and Vulnerability Assessment

Module 6: Risk Assessment and Early Warning Systems

Module 7: GIS for Disaster Preparedness

Module 8: GIS for Emergency Response Operations

Module 9: Damage Assessment and Needs Analysis

Module 10: GIS for Humanitarian Logistics and Resource Allocation

Module 11: Remote Sensing for Disaster Monitoring and Mapping

Module 12: Web GIS and Mobile GIS for Field Operations

Module 13: Spatial Analysis for Decision Support in Disasters

Module 14: Population Displacement and Camp Management

Module 15: Post-Disaster Recovery and Reconstruction

Module 16: Communication, Coordination, and Information Sharing

Module 17: Ethical Considerations and Data Privacy in Humanitarian GIS

Module 18: Future Trends and Emerging Technologies in Disaster GIS

Here's What You'll Learn:

Module 1: Foundations of Psychological Measurement and Scaling

Module 2: Classical Test Theory (CTT) and Reliability

Module 3: Validity in Measurement

Module 4: Item Analysis and Scale Development

Module 5: Introduction to Factor Analysis for Scale Validation

Module 6: Item Response Theory (IRT) Fundamentals

Module 7: Differential Item Functioning (DIF) and Measurement Bias

Module 8: Standard Setting and Score Interpretation

Module 9: Specialized Measurement Models and Techniques

Module 10: Practical Implementation and Psychometric Reporting

Here's What You'll Learn:

Module 1: Introduction to Nutrition and Food Security

Module 2: Understanding the Nutrition-Sensitive Agriculture Framework

Module 3: Diversified Food Production for Improved Nutrition

Module 4: Post-Harvest Management and Food Safety

Module 5: Water, Sanitation, and Hygiene (WASH) in Nutrition-Sensitive Agriculture

Module 6: Gender Equity and Women's Empowerment in Agriculture

Module 7: Social and Behavior Change Communication for Nutrition

Module 8: Policy and Governance for Nutrition-Sensitive Agriculture

Module 9: Monitoring, Evaluation, and Learning in NSA Programs

Module 10: Designing and Implementing Nutrition-Sensitive Agriculture Interventions

Here's What You'll Learn:

Module 1: Introduction to Medical Data Analysis & R Setup

Module 2: R Fundamentals and Data Import for Healthcare Data

Module 3: Data Wrangling in R using the tidyverse

Module 4: Descriptive Statistics and Data Summarization in Medical Context

Module 5: Basic Biostatistics in R (Hypothesis Testing)

Module 6: Introduction to Regression Models in Medical Research

Module 7: Survival Analysis Fundamentals and Implementation in R

Module 8: Data Visualization for Medical Research using ggplot2

Module 9: Introduction to Power BI for Data Integration

Module 10: Connecting, Importing, and Transforming Medical Data in Power BI

Module 11: Data Modeling and Relationships in Power BI

Module 12: Introduction to DAX for Advanced Calculations

Module 13: Creating Interactive Dashboards in Power BI

Module 14: Visualization Best Practices for Medical Reporting

Module 15: Incorporating R Visuals and Scripts into Power BI

Module 16: Ethics, Data Governance, and Reproducible Research

Module 17: Advanced Power BI: Security and Distribution

Module 18: Capstone Project: End-to-End Medical Analytics Workflow

Here's What You'll Learn:

Module 1: Introduction to Genomics and Bioinformatics

Module 2: R Programming Fundamentals for Bioinformatics

Module 3: Working with Genomic Data Formats in R

Module 4: Quality Control and Pre-processing of Genomic Data

Module 5: Differential Expression Analysis (RNA-Seq)

Module 6: Introduction to Variant Calling and Annotation

Module 7: Population Genetics and GWAS (Conceptual)

Module 8: Introduction to Epigenomic Data Analysis

Module 9: Pathway and Network Analysis

Module 10: Introduction to Data Visualization with Tableau

Module 11: Connecting Genomic Data to Tableau

Module 12: Building Basic Visualizations in Tableau

Module 13: Advanced Visualizations for Genomic Data in Tableau

Module 14: Creating Interactive Dashboards in Tableau

Module 15: Statistical Plotting and Interpretation in R

Module 16: Best Practices for Reproducible Genomic Analysis

Module 17: Case Studies in Genomic Data Analysis

Module 18: Project Work and Presentation

Here's What You'll Learn:

Module 1: Foundations of Active Listening

Module 2: Non-Verbal Communication

Module 3: Verbal Cues and Effective Questioning

Module 4: Overcoming Barriers to Listening

Module 5: Empathy and Perspective-Taking

Module 6: Listening in Different Contexts

Module 7: Advanced Active Listening Techniques

Module 8: Active Listening for Conflict Resolution

Module 9: Mindfulness and Active Listening

Module 10: Developing a Personal Listening Plan

Here's What You'll Learn:

Module 1: Introduction to Precision Agriculture and Smart Farming

Module 2: Geospatial Technologies in Precision Agriculture

Module 3: Sensors and Data Collection in the Field

Module 4: Data Management and Analysis for Precision Farming

Module 5: Variable Rate Technologies and Prescription Maps

Module 6: Precision Irrigation and Water Management

Module 7: Smart Pest, Disease, and Weed Management

Module 8: Robotics, Automation, and Drones in Agriculture

Module 9: Farm Management Software and Decision Support Systems

Module 10: Economic Benefits and Implementation of Precision Agriculture

Here's What You'll Learn:

Module 1: Introduction to Social Protection and Food Security

Module 2: Targeting and Beneficiary Selection

Module 3: Cash Transfer Programs

Module 4: Food Assistance Programs

Module 5: Social Insurance

Module 6: Monitoring and Evaluation of Social Protection Programs

Module 7: Policy and Legal Frameworks for Social Protection

Module 8: Social Protection in Fragile and Conflict-Affected States

Module 9: Social Protection and Gender

Module 10: Emerging Trends and Innovations in Social Protection

Here's What You'll Learn:

Module 1: Introduction to Big Data and Hadoop Ecosystem

Module 2: Hadoop Distributed File System (HDFS)

Module 3: Hadoop MapReduce Framework

Module 4: Introduction to Apache Spark

Module 5: Spark Core and Resilient Distributed Datasets (RDDs)

Module 6: Spark SQL and DataFrames

Module 7: Spark Structured Streaming

Module 8: Spark Machine Learning Library (MLlib)

Module 9: Graph Analytics with Spark GraphX

Module 10: Real-world Big Data Architectures

Module 11: Data Ingestion with Apache Sqoop and Flume

Module 12: Messaging and Streaming with Apache Kafka

Module 13: Data Warehousing with Hive and Impala

Module 14: NoSQL Databases in the Big Data Landscape

Module 15: Big Data Security and Governance

Module 16: Cluster Management with YARN

Module 17: Performance Tuning and Optimization

Module 18: End-to-End Big Data Analytics Project

Here's What You'll Learn:

Module 1: Foundations of Research Project Management

Module 2: Research Project Planning and Scheduling

Module 3: Budgeting and Financial Management

Module 4: Team Leadership and Human Resource Management

Module 5: Data Management and Quality Control

Module 6: Monitoring, Evaluation and Reporting

Module 7: Ethics, Compliance and Risk Management

Module 8: Communication and Stakeholder Engagement

Module 9: Agile and Adaptive Research Approaches

Module 10: Project Closure and Dissemination

Here's What You'll Learn:

Module 1: Introduction to Research and the Research Process

Module 2: Formulating Research Questions and Hypotheses

Module 3: Quantitative Research Designs

Module 4: Qualitative Research Designs

Module 5: Mixed Methods Research

Module 6: Sampling Techniques

Module 7: Data Collection Methods

Module 8: Basics of Data Analysis (Quantitative)

Module 9: Basics of Data Analysis (Qualitative)

Module 10: Research Ethics and Writing Research Proposals/Reports

Here's What You'll Learn:

Module 1: Foundations of Multivariate Analysis and Data Screening in SPSS

Module 2: Multiple Linear Regression and Model Building in SPSS

Module 3: Binary Logistic Regression Analysis in SPSS

Module 4: Multivariate Analysis of Variance (MANOVA) in SPSS

Module 5: Discriminant Function Analysis (DFA) using SPSS

Module 6: Exploratory Factor Analysis (EFA) and Dimensionality Reduction in SPSS

Module 7: Cluster Analysis and Market Segmentation in SPSS

Module 8: Introduction to Survival Analysis (Cox Regression) in SPSS

Module 9: Repeated Measures ANOVA and Mixed Models in SPSS

Module 10: Advanced Reporting, Interpretation, and Presentation of Results

Here's What You'll Learn:

Module 1: Introduction to Predictive Modeling with R
Module 2: Linear Regression
Module 3: Logistic Regression
Module 4: Decision Trees
Module 5: Random Forests
Module 6: Support Vector Machines
Module 7: Clustering Techniques
Module 8: Time Series Analysis
Module 9: Ensemble Methods
Module 10: Model Deployment

Here's What You'll Learn:

Module 1: Fundamentals of Food Safety and Quality

Module 2: Good Manufacturing Practices (GMP) and Good Hygiene Practices (GHP)

Module 3: Hazard Analysis and Critical Control Points (HACCP) System

Module 4: Food Safety Management Systems (FSMS) and ISO 22000

Module 5: Food Microbiology and Contaminants

Module 6: Food Allergens and Labeling Requirements

Module 7: Traceability and Recall Procedures

Module 8: Food Safety Auditing and Regulatory Compliance

Module 9: Quality Assurance Tools and Techniques

Module 10: Developing and Implementing a Food Safety and Quality Plan

Here's What You'll Learn:

Module 1: Foundations of Epidemiology and Public Health Data

Module 2: Python Environment Setup and Data Handling with Pandas

Module 3: Core Epidemiological Measures and Descriptive Analytics

Module 4: Inferential Epidemiology: Risk, Association, and Hypothesis Testing

Module 5: Data Cleaning and Validation for Epidemiological Datasets

Module 6: Data Visualization for Epidemiology using Matplotlib and Seaborn

Module 7: Introduction to Time-Series Analysis and Epidemic Curves

Module 8: Introduction to Power BI: Connecting and Transforming Health Data

Module 9: Data Modeling and DAX for Public Health Metrics in Power BI

Module 10: Building Interactive Epidemiological Dashboards

Module 11: Regression Modeling in Epidemiology (Linear and Logistic)

Module 12: Survival Analysis Fundamentals and Kaplan-Meier Curves

Module 13: Spatial Epidemiology and Data Mapping with Python

Module 14: Bias, Confounding, and Effect Modification (Statistical Adjustment)

Module 15: Advanced Data Storytelling and Power BI Custom Visuals

Module 16: Public Health Surveillance Systems and Data Pipelines

Module 17: Machine Learning Applications in Disease Prediction

Module 18: Capstone Project: End-to-End Outbreak Investigation Dashboard

Here's What You'll Learn:

Module 1: Introduction to Longitudinal, Panel, and Time Series Data

Module 2: Stata Fundamentals for Time-Series Data

Module 3: Data Management for Longitudinal and Panel Data

Module 4: Descriptive Analysis of Longitudinal and Panel Data

Module 5: Introduction to Linear Panel Data Models

Module 6: Fixed Effects (FE) Model

Module 7: Random Effects (RE) Model

Module 8: Choosing Between Fixed and Random Effects

Module 9: Dynamic Panel Data Models

Module 10: Introduction to Time Series Analysis

Module 11: Stationarity and Unit Root Tests

Module 12: Autoregressive (AR) and Moving Average (MA) Models

Module 13: Autoregressive Integrated Moving Average (ARIMA) Models

Module 14: Vector Autoregression (VAR) Models

Module 15: Cointegration and Error Correction Models

Module 16: Advanced Topics in Panel Data

Module 17: Advanced Topics in Time Series

Module 18: Reporting and Interpretation of Results

Here's What You'll Learn:

• Module 1: Introduction to CRM Data Analytics
• Module 2: Data Visualization with PowerBI
• Module 3: Advanced Analytics Techniques
• Module 4: Marketing Performance Measurement
• Module 5: Customer Segmentation and Targeting
• Module 6: Data-Driven Decision Making
• Module 7: CRM Data Integration
• Module 8: PowerBI Best Practices
• Module 9: Case Studies and Real-Life Applications
• Module 10: Future Trends in CRM Data Analytics

Here's What You'll Learn:

Module 1: Foundations of Marketing Analytics

Module 2: Introduction to R for Data Analysis

Module 3: Data Preparation and Visualization in R

Module 4: Descriptive Marketing Analytics

Module 5: Customer Segmentation and Clustering (R)

Module 6: Predictive Modeling for Marketing (R)

Module 7: Introduction to Tableau for Visualization

Module 8: Connecting Data and Building Dashboards in Tableau

Module 9: Marketing Mix Modeling (R)

Module 10: Web and Social Media Analytics (R)

Module 11: A/B Testing and Experimentation Analysis (R)

Module 12: Customer Lifetime Value (CLV) Analysis (R)

Module 13: Visualizing Campaign Performance in Tableau

Module 14: Advanced Dashboarding Techniques in Tableau

Module 15: Reporting and Storytelling with Data

Module 16: Market Basket Analysis and Recommendation Systems (R)

Module 17: Geospatial Marketing Analysis

Module 18: Course Capstone Project and Next Steps

Here's What You'll Learn:

Module 1: Introduction to Markets and Food Security

Module 2: Value Chain Analysis for Market Access

Module 3: Market Information Systems and Price Analysis

Module 4: Agricultural Marketing Strategies and Best Practices

Module 5: Post-Harvest Handling and Quality Standards for Market Access

Module 6: Financing and Risk Management in Agricultural Trade

Module 7: Trade Policies, Agreements, and Food Security

Module 8: Global Food Trade Dynamics and Trends

Module 9: Overcoming Market Access Barriers

Module 10: Designing Market-Oriented Food Security Interventions

Here’s What You’ll Learn:

Module 1: Foundations of Credit and Lending

Module 2: Understanding Financial Statements for Credit Analysis

Module 3: Ratio Analysis and Financial Performance Evaluation

Module 4: Assessing Borrower Character and Repayment Capacity

Module 5: Collateral Evaluation and Security Documentation

Module 6: Loan Structuring and Pricing

Module 7: Credit Risk Assessment and Grading

Module 8: Loan Documentation and Legal Aspects of Lending

Module 9: Loan Monitoring and Problem Loan Management

Module 10: Regulatory and Compliance in Lending

Here's What You'll Learn:

Module 1: Understanding the Grant Landscape

Module 2: Planning Your Grant Project

Module 3: Crafting a Compelling Narrative

Module 4: Developing a Realistic Budget

Module 5: Designing a Robust Evaluation Plan

Module 6: Writing for Impact and Clarity

Module 7: Addressing Key Proposal Components

Module 8: Proposal Submission and Funder Relations

Module 9: Post-Submission and Grant Management

Module 10: Advanced Grant Writing Strategies

Here's What You'll Learn:

• Introduction to ODK: Basics of mobile data collection and ODK ecosystem setup.

Form Design: Create user-friendly, effective forms using XLSForm.

• Advanced Features: Implement skip logic, cascading selects, multimedia questions, and repeat groups.
• Deployment and Management: Use ODK Collect for deployment and manage collected data effectively.
• Data Analysis: Visualize and interpret data using ODK tools and external software.
• Security & Ethics: Ensure data privacy and ethical data collection practices.
• Integration: Use APIs and tools like GIS software and Google Sheets for real-time data integration.
• Collaborative Projects: Manage team projects with shared permissions and real-time monitoring.
• Project Management: Handle large-scale projects with strategic planning and reporting.

Module 1: Introduction to Strategic Environmental Assessment
Module 2: SEA Process and Frameworks
Module 3: Legal and Policy Frameworks for SEA
Module 4: Stakeholder Engagement in SEA
Module 5: Methods and Tools for SEA
Module 6: SEA in Different Sectors
Module 7: Monitoring and Evaluation in SEA
Module 8: Advanced SEA Techniques
Module 9: Challenges and Best Practices in SEA
Module 10: SEA Project Development

Here's What You'll Learn:

Module 1: Introduction to Data Warehousing

Module 2: Dimensional Modeling

Module 3: ETL Concepts and Architecture

Module 4: Data Extraction Techniques

Module 5: Data Transformation Processes

Module 6: Data Loading Strategies

Module 7: ETL Tool Selection and Best Practices

Module 8: Data Quality Management in Data Warehousing

Module 9: Performance Tuning of ETL Processes

Module 10: Data Warehouse Implementation and Business Intelligence

Course Outline

Here's What You'll Learn:

• Module 1: Understanding Stress
• Module 2: Identifying Your Stressors
• Module 3: Mind-Body Connection and Relaxation Techniques
• Module 4: Time Management and Productivity
• Module 5: Emotional Regulation and Resilience
• Module 6: Communication and Boundaries
• Module 7: Work-Life Integration
• Module 8: Building a Supportive Network
• Module 9: Nutrition, Exercise, and Sleep
• Module 10: Creating a Personal Stress Management Plan

Here's What You'll Learn:

Module 1: Introduction to Early Warning Systems and Food Security

Module 2: Understanding Food Security Information Systems

Module 3: Data Collection and Indicators for Early Warning

Module 4: Climate and Environmental Monitoring for Food Security

Module 5: Market and Economic Analysis for Food Security

Module 6: Conflict, Displacement, and Food Security Linkages

Module 7: Information Analysis and Interpretation for Early Warning

Module 8: Communication and Dissemination of Early Warning Information

Module 9: Linking Early Warning to Early Action

Module 10: Developing and Strengthening Early Warning Systems

Here's What You'll Learn:

Module 1: Introduction to Permaculture Ethics and Principles

Module 2: Understanding Natural Systems and Ecological Literacy

Module 3: Permaculture Design Process and Tools

Module 4: Water Management and Earthworks

Module 5: Soil Building and Fertility Strategies

Module 6: Guilds, Stacking, and Forest Gardens

Module 7: Integrated Animal Systems in Permaculture

Module 8: Appropriate Technology and Renewable Energy

Module 9: Designing for Social and Economic Permaculture

Module 10: Developing Your Permaculture Design Project

Here's What You'll Learn:

Module 1: Foundations and Principles of Epidemiology

Module 2: Measures of Disease Occurrence and Association

Module 3: Study Design: Observational Studies (Cross-Sectional and Case-Control)

Module 4: Study Design: Cohort and Intervention Studies (Trials)

Module 5: Addressing Bias, Confounding, and Effect Modification

Module 6: Public Health Surveillance and Outbreak Investigation

Module 7: Introduction to Regression Modeling in Epidemiology

Module 8: Causal Inference and Advanced Analytical Techniques

Module 9: Validity, Reliability, and Survey Instrument Design

Module 10: Ethical Issues, Communication, and Proposal Development

Here’s What You’ll Learn:

Module 1: Introduction to Customer Relationship Management (CRM) in Banking

Module 2: Understanding the Banking Customer

Module 3: CRM Strategies for Banks

Module 4: CRM Technologies and Systems for Banking

Module 5: Data Management and Analytics in Banking CRM

Module 6: Customer Segmentation and Targeting in Banking

Module 7: Personalization and Customization in Banking CRM

Module 8: Customer Loyalty and Retention Strategies for Banks

Module 9: Measuring CRM Effectiveness in Banking

Module 10: The Future of CRM in Banking

Here's What You'll Learn:

Module 1: Understanding Post-Harvest Loss and Food Waste

Module 2: Causes and Hotspots of Post-Harvest Loss

Module 3: Post-Harvest Technologies for Cereals and Grains

Module 4: Post-Harvest Technologies for Fruits, Vegetables, and Perishables

Module 5: Food Processing and Value Addition for Waste Reduction

Module 6: Sustainable Packaging and Cold Chain Management

Module 7: Addressing Food Waste at Retail and Consumer Levels

Module 8: Policy, Governance, and Legal Frameworks for PHL/FW Reduction

Module 9: Measurement, Monitoring, and Reporting of PHL/FW

Module 10: Designing and Implementing PHL/FW Reduction Programs

Here's What You'll Learn:

Module 1: Introduction to Statistics and Inference

Module 2: Probability Distributions and Estimation

Module 3: Fundamentals of Hypothesis Testing

Module 4: One-Sample Hypothesis Tests

Module 5: Two-Sample Hypothesis Tests

Module 6: Analysis of Variance (ANOVA)

Module 7: Non-Parametric Tests

Module 8: Chi-Square Tests and Association

Module 9: Simple Linear Regression

Module 10: Advanced Topics and Model Selection

Here's What You'll Learn:

Module 1: Introduction to Food Systems and Nutrition

Module 2: Environmental Sustainability of Food Systems

Module 3: Social Equity and Economic Viability in Food Systems

Module 4: Sustainable Food Production Systems

Module 5: Sustainable Food Processing and Supply Chains

Module 6: Promoting Sustainable and Healthy Diets

Module 7: Policy and Governance for Sustainable Food Systems

Module 8: Climate Change and Food Systems Resilience

Module 9: Measurement and Assessment of Sustainable Food Systems

Module 10: Designing Sustainable Food Systems Interventions

Here's What You'll Learn:

Module 1: Introduction to Food Policy and Governance

Module 2: The Policy Cycle and Food Security

Module 3: National Food Security Strategies and Plans

Module 4: Role of Different Actors in Food Governance

Module 5: Legal and Regulatory Frameworks for Food Security

Module 6: Land, Water, and Natural Resource Governance

Module 7: Trade, Markets, and Food Policy

Module 8: Climate Change, Disasters, and Food Governance

Module 9: Monitoring, Evaluation, and Accountability in Food Policy

Module 10: Designing and Advocating for Effective Food Policies

Module 1: Foundations of Statistics and Data Types

Module 2: Descriptive Statistics and Data Visualization

Module 3: Probability and Theoretical Distributions

Module 4: Sampling Methods and Statistical Estimation

Module 5: Principles of Hypothesis Testing

Module 6: Comparative Analysis: t-Tests and ANOVA

Module 7: Introduction to Correlation and Simple Linear Regression

Module 8: Non-Parametric Statistical Methods

Module 9: Fundamentals of Time Series and Index Numbers

Module 10: Statistical Software Application and Reporting

Here's What You'll Learn:

Module 1: Fundamentals of Climate Science and Modeling

Module 2: Types and Scales of Climate Models

Module 3: Climate Data Sources and Downscaling Techniques

Module 4: Understanding Climate Scenarios and Emissions Pathways

Module 5: Impact Modeling and Sectoral Applications

Module 6: Uncertainty and Limitations in Climate Projections