Here's What You'll Learn:

Module 1: Fundamentals of Remote Sensing

Module 2: Remote Sensing Platforms and Sensors

Module 3: Remote Sensing Data Acquisition and Pre-processing

Module 4: Image Interpretation and Analysis

Module 5: Geographic Information Systems (GIS) for Environmental Monitoring

Module 6: Remote Sensing Applications in Land Cover and Land Use Change Detection

Module 7: Remote Sensing for Water Resource Management

Module 8: Remote Sensing in Disaster Management and Risk Assessment

Module 9: Advanced Remote Sensing Techniques and Emerging Trends

Module 10: Project Work and Case Studies

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 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 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 of Environmental Data and R Setup

Module 2: Data Acquisition and Preprocessing with R

Module 3: Geospatial Analysis of Environmental Data

Module 4: Time Series Modeling for Environmental Monitoring

Module 5: Statistical Analysis and Modeling in R

Module 6: Advanced Machine Learning for Environmental Prediction

Module 7: Introduction to Power BI for Environmental Reporting

Module 8: Data Modeling and Advanced DAX for Metrics

Module 9: Creating Interactive Environmental Dashboards

Module 10: Environmental Data Governance and Stakeholder Communication

Here's What You'll Learn:

• Introduction to Kobo Toolbox: Overview of mobile data collection, platform setup, basic form creation.
• Form Design: Effective design techniques, skip logic, validation rules, cascading selects.
• Data Management: Deployment, synchronization, export, and permissions management.
• Advanced Features: Multimedia questions, geopoints, external data, and advanced logic.
• Analysis & Visualization: Data cleaning, exporting, creating charts, and using external tools.
• Security & Ethics: Data privacy, security strategies, ethical considerations, compliance.
• Integration with External Tools: APIs, Google Sheets, GIS software, automation.
• Collaborative Projects: Team data collection and real-time monitoring.
• Project Management: Large-scale project handling, budgeting, stakeholder reporting.

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)

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 and the Research Lifecycle

Module 2: Crafting Compelling Introductions and Literature Reviews

Module 3: Methodological Rigor and Reporting Standards

Module 4: Presenting Results and Discussion/Conclusion

Module 5: Effective Academic Style and Language

Module 6: Ethics, Integrity, and Authorship

Module 7: Selecting the Right Journal and Targeting Audience

Module 8: Manuscript Submission and the Peer Review Process

Module 9: Revising and Responding to Reviewer Comments

Module 10: Maximizing Visibility and Impact

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: 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: 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 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 Curriculum Design

Module 2: Needs Assessment and Stakeholder Engagement

Module 3: Learning Theories and Instructional Strategies

Module 4: Crafting Learning Objectives and Outcomes

Module 5: Developing Course Content and Materials

Module 6: Assessment and Evaluation in Curriculum

Module 7: Technology Integration in Curriculum Design

Module 8: Curriculum Implementation and Management

Module 9: Curriculum Review and Revision

Module 10: Emerging Trends in Curriculum Development

Module 1: The Imperative of Strategic Foresight in a VUCA World

Module 2: Fundamentals of Futures Thinking and Forecasting

Module 3: Identifying Driving Forces and Critical Uncertainties

Module 4: Developing Robust Scenario Narratives

Module 5: Analyzing Scenario Implications for Strategy

Module 6: Integrating Scenarios into Strategic Planning

Module 7: Building Organizational Foresight Capabilities

Module 8: Emerging Technologies and Future Trends Analysis

Module 9: Communicating Scenarios and Engaging Stakeholders

Module 10: Leading with Foresight for Future-Proofing Organizations

Here's What You'll Learn:

Module 1: Fundamentals of Reinsurance

Module 2: Types of Reinsurance

Module 3: Treaty Reinsurance

Module 4: Facultative Reinsurance

Module 5: Pricing and Underwriting in Reinsurance

Module 6: Claims Management and Commutations

Module 7: Reinsurance Accounting and Finance

Module 8: Regulatory and Legal Aspects of Reinsurance

Module 9: Emerging Trends and Market Dynamics

Module 10: Strategic Reinsurance Management

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: 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: 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: 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 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 Facilitation

Module 2: The Facilitator's Role and Mindset

Module 3: Designing Effective Meetings and Workshops

Module 4: Essential Facilitation Techniques

Module 5: Managing Group Dynamics and Challenging Situations

Module 6: Active Listening and Communication Skills

Module 7: Decision-Making and Consensus Building

Module 8: Virtual and Hybrid Meeting Facilitation

Module 9: Post-Meeting Actions and Follow-up

Module 10: Advanced Facilitation Skills and Continuous Improvement

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:

Module 1: Foundations of Data Protection and the 3-2-1 Rule

Module 2: Backup Strategies and Implementation Methods

Module 3: Storage Technologies for Backup and Recovery

Module 4: Disaster Recovery Planning (DRP) and Business Continuity

Module 5: Data Recovery Procedures and Testing

Module 6: Data Archiving, Retention, and Compliance

Module 7: Cloud-Based Backup and Recovery Solutions

Module 8: Security and Encryption in Backup Processes

Module 9: Backup System Management and Monitoring

Module 10: Advanced Recovery Scenarios and Automation

 Module 1: Introduction to MEAL

Module 2: Designing MEAL Systems

Module 3: Data Collection Techniques

Module 4: Data Management and Storage

Module 5: Data Analysis and Interpretation

Module 6: Impact Evaluation

Module 7: Accountability Mechanisms

Module 8: Integrating Learning into Projects

Module 9: Using MEAL Findings

Module 10: Reporting and Communicating MEAL Results

Here’s What You’ll Learn:

Module 1: Introduction to Integrated Impact Assessment

Module 2: Air Quality Impact Assessment

Module 3: Practical Air Quality Assessment

Module 4: Water Resources Impact Assessment

Module 5: Practical Water Quality Assessment

Module 6: Soil and Land Contamination Assessment

Module 7: Practical Soil Assessment

Module 8: Noise and Vibration Impact Assessment

Module 9: Practical Noise Assessment

Module 10: Biodiversity Impact Assessment

Module 11: Practical Biodiversity Assessment

Module 12: Socioeconomic Impact Assessment (SIA) - Foundations

Module 13: SIA - Data and Methods

Module 14: Cultural Heritage and Visual Impact Assessment

Module 15: Cumulative Impact Assessment

Module 16: Mitigation and Management Planning

Module 17: Integrated Reporting and Documentation

Module 18: Case Studies and Best Practices

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: 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

Here's What You'll Learn:

• Module 1: Introduction to PowerBI
• Module 2: Data Modeling
• Module 3: DAX Functions and Expressions
• Module 4: Creating Reports
• Module 5: Dashboards and Sharing
• Module 6: Advanced Data Visualization Techniques
• Module 7: Data Insights and Analytics
• Module 8: PowerBI Service
• Module 9: Best Practices for Data Visualization
• Module 10: Case Study and Final Project

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

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

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

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 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 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: 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: 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 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: 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: 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: 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 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

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: Introduction to Epidemiological Modeling and R

Module 2: Fundamentals of Deterministic Compartmental Models

Module 3: Implementing SIR/SEIR Models in R

Module 4: Parameter Estimation and Model Calibration

Module 5: Modeling the Impact of Vaccination

Module 6: Advanced Model Structures and Dynamics

Module 7: Stochastic Modeling and Outbreak Simulation

Module 8: Policy Analysis and Economic Evaluation

Module 9: Global Sensitivity and Uncertainty Analysis

Module 10: Case Studies and Advanced Modeling in R

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: Financial Data Analytics in FP&A

 Module 2: SQL Fundamentals: Retrieval and Filtering

 Module 3: SQL Aggregation and Grouping

 Module 4: Joining Financial Datasets

 Module 5: Advanced SQL Set Operations and Subqueries

 Module 6: Common Table Expressions (CTEs) for Multi-Step Logic

 Module 7: Window Functions for Financial Metrics

 Module 8: SQL for Data Cleansing and Transformation

 Module 9: Direct Database Connection and Excel Integration

 Module 10: Mastering Power Query for Data Transformation (ETL)

 Module 11: Advanced Power Query M Language and Custom Functions

 Module 12: Introduction to Data Modeling with Power Pivot

 Module 13: Dynamic Array Formulas for Modern Analysis

 Module 14: Advanced Lookup and Conditional Functions

 Module 15: Scenario and Sensitivity Analysis Tools

 Module 16: Time Value of Money (TVM) and Valuation Functions

 Module 17: Interactive Dashboard Design and Visualization

 Module 18: Automation, VBA, and Strategic Data Storytelling

Here's What You'll Learn:

Module 1: Foundations of Data Exploration and the EDA Process

Module 2: Descriptive Statistics for Data Understanding

Module 3: Univariate and Bivariate Data Visualization

Module 4: Data Quality Assessment and Missing Value Imputation

Module 5: Outlier Detection and Treatment

Module 6: Foundations of Feature Engineering

Module 7: Handling Categorical Variables

Module 8: Feature Scaling and Transformation

Module 9: Dimensionality Reduction and Feature Selection

Module 10: Time-Based and Automated Feature Engineering

Here's What You'll Learn:

Module 1: Foundations of Emotional Intelligence

Module 2: Self-Awareness: The First Pillar

Module 3: Self-Regulation: Managing Your Emotions

Module 4: Social Awareness: Empathy and Perspective

Module 5: Relationship Management: The Art of Connection

Module 6: Emotional Intelligence in the Workplace

Module 7: Conflict Resolution and Difficult Conversations

Module 8: Leadership and Emotional Intelligence

Module 9: Building Emotional Resilience

Module 10: Creating Your Personal EQ Action 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

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: Fundamentals of Experimentation and Key Terminology

Module 2: Simple Comparative Experiments and Hypothesis Testing

Module 3: Introduction to Factorial Designs

Module 4: The 2ᵏ Factorial Design: Screening for Effects

Module 5: Blocking and Confounding in Factorial Designs

Module 6: Fractional Factorial Designs

Module 7: Response Surface Methodology (RSM)

Module 8: Analysis of Covariance (ANCOVA) in Experimental Design

Module 9: Robust Parameter Design and Taguchi Methods

Module 10: Case Studies and Industrial Applications of DOE

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 Petroleum Data and Analytics

Module 2: Python Environment Setup and Core Libraries

Module 3: Data Acquisition and Preparation for E&P Datasets

Module 4: Exploratory Data Analysis (EDA) of Production Trends

Module 5: Well Performance Modeling and Decline Curve Analysis (DCA)

Module 6: Advanced Time Series Forecasting for Oil and Gas Prices

Module 7: Geospatial Analytics for Field and Asset Mapping

Module 8: Integrated Reservoir Data Analytics

Module 9: Drilling and Completion Performance Optimization

Module 10: Machine Learning for Production Prediction (Regression)

Module 11: Machine Learning for Subsurface Classification

Module 12: Power BI Desktop and Data Modeling Essentials

Module 13: Advanced DAX for Oilfield Metrics and KPIs

Module 14: Developing Interactive Production Dashboards

Module 15: Financial Analytics and Economic Limit Modeling

Module 16: Risk and Uncertainty Analysis (Monte Carlo Simulation)

Module 17: Midstream and Downstream Logistics Analytics

Module 18: Capstone Project and Stakeholder Communication

Here's What You'll Learn:

Module 1: Introduction to Evidence Synthesis

Module 2: Formulating the Research Question (PICO/PICOS)

Module 3: Developing a Comprehensive Search Strategy

Module 4: Study Selection and Data Extraction

Module 5: Assessing Risk of Bias in Included Studies

Module 6: Introduction to Meta-Analysis

Module 7: Performing Meta-Analysis (Dichotomous and Continuous Data)

Module 8: Heterogeneity and Sensitivity Analysis

Module 9: Reporting and Disseminating Systematic Reviews and Meta-Analyses

Module 10: Advanced Topics and Software Tools

Here's What You'll Learn:

Module 1: Foundations of Fraud Risk and Power BI Setup

Module 2: Data Modeling and ETL for Fraud Scenarios

Module 3: Core DAX for Financial Risk and Anomaly Metrics

Module 4: Visualization of Fraud Patterns and Red Flags

Module 5: Analytical Techniques for Transactional Fraud Detection

Module 6: Vendor, Procurement, and Accounts Payable Fraud Analysis

Module 7: Employee and Expense Report Fraud Analytics

Module 8: Advanced Analytics and AI Visuals for Predictive Fraud

Module 9: Reporting Governance and Secure Dashboard Deployment

Module 10: Integrated Fraud Detection Dashboard Capstone

Here's What You'll Learn:

Module 1: Understanding Climate Change and Its Impacts

Module 2: Principles of Effective Climate Communication

Module 3: Audience Analysis and Segmentation for Climate Action

Module 4: Crafting Compelling Climate Messages

Module 5: Communication Channels and Tools for Climate Awareness

Module 6: Engaging Stakeholders and Building Partnerships

Module 7: Addressing Misinformation and Climate Denial

Module 8: Storytelling and Narrative Building for Climate Change

Module 9: Measuring the Impact of Climate Communication

Module 10: Developing a Climate Communication Strategy

Here's What You'll Learn:

Module 1: Introduction to Sustainable Agriculture and Its Principles

Module 2: Soil Health and Fertility Management for Sustainability

Module 3: Sustainable Water Use and Irrigation

Module 4: Integrated Pest and Disease Management (IPM) in Sustainable Systems

Module 5: Crop Diversification and Rotation

Module 6: Agroforestry and Permaculture Design

Module 7: Organic Farming Principles and Practices

Module 8: Sustainable Livestock Integration

Module 9: Farm Energy Efficiency and Renewable Resources

Module 10: Economic Viability and Certification in Sustainable Agriculture

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 Data Visualization and Design Principles

Module 2: Visualizing Univariate and Comparative Data

Module 3: Effective Visualization of Relationships and Distributions

Module 4: Advanced Time-Series and Flow Visualization

Module 5: Geospatial Data and Static Mapping

Module 6: Interactive Visualization and Dashboard Creation

Module 7: Visualization for Statistical Modeling and Machine Learning

Module 8: Principles of Visual Perception and Cognitive Load

Module 9: Communicating Uncertainty and Statistical Inference

Module 10: Publication-Ready Graphics and Ethical Reporting

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: 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: Foundational Data Ecosystems in Oil and Gas

Module 2: Python Fundamentals for Data Ingestion and Wrangling

Module 3: Specialized Data Handling (Time-Series, Well Logs, Seismic)

Module 4: Data Quality, Cleaning, and Feature Engineering with Pandas

Module 5: Automated Reporting and Scripting with Python

Module 6: PowerBI Architecture and Advanced Data Modeling

Module 7: Mastering Data Analysis Expressions (DAX)

Module 8: Geospatial and Visual Analytics for Petroleum Data

Module 9: Designing Interactive and Actionable Business Dashboards

Module 10: Deployment, Security, and Governance

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: 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: Introduction to Geospatial Databases

Module 2: Relational Database Concepts for GIS

Module 3: Introduction to PostgreSQL and PostGIS

Module 4: Spatial Data Types and Functions in PostGIS

Module 5: Importing and Exporting Geospatial Data in PostGIS

Module 6: Advanced Spatial Queries in PostGIS

Module 7: Introduction to SQL Server and Spatial Capabilities

Module 8: Spatial Data Types and Functions in SQL Server

Module 9: Importing and Exporting Geospatial Data in SQL Server

Module 10: Advanced Spatial Queries in SQL Server

Module 11: Database Design for Geospatial Data

Module 12: Geospatial Indexing and Performance Optimization

Module 13: Integrating Geospatial Databases with GIS Software

Module 14: Geospatial Database Administration and Security

Module 15: Big Data Considerations for Geospatial Databases

Module 16: Web Mapping and Geospatial Databases

Module 17: Case Studies and Best Practices in Geospatial Database Management

Module 18: Future Trends in Geospatial Database Technologies

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: Foundations and Philosophical Paradigms in Qualitative Research

Module 2: Qualitative Research Design, Ethics, and Planning

Module 3: In-Depth Interviewing and Elicitation Techniques

Module 4: Focus Group Discussions (FGDs) and Group Dynamics

Module 5: Ethnography, Observation, and Fieldwork Methods

Module 6: Purposeful Sampling Strategies and Participant Selection

Module 7: Data Transcription, Memoing, and Software Preparation

Module 8: Thematic Analysis (TA) in Practice

Module 9: Advanced Qualitative Analysis Methodologies

Module 10: Ensuring Trustworthiness and Reporting Findings

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 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 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: Introduction to Gender and Food Security

Module 2: Gendered Roles and Responsibilities in Food Systems

Module 3: Gender and Access to Productive Resources

Module 4: Gender, Food Consumption, and Nutrition

Module 5: Women's Empowerment and Food Security Outcomes

Module 6: Gender Analysis in Food Security Programming

Module 7: Gender-Responsive Food Security Policies and Governance

Module 8: Gender, Climate Change, and Food Security

Module 9: Monitoring, Evaluation, and Learning for Gender-Transformative Food Security

Module 10: Designing Gender-Transformative Food Security Interventions

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'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: 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 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 High-Performing Teams

Module 2: Effective Team Communication

Module 3: Building Trust and Psychological Safety

Module 4: Conflict Resolution and Negotiation

Module 5: Defining Roles and Responsibilities

Module 6: Collaborative Problem-Solving and Decision-Making

Module 7: Leveraging Diversity for Innovation

Module 8: Giving and Receiving Constructive Feedback

Module 9: Building a Collaborative Culture

Module 10: Creating a Teamwork Action 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: 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:

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 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: 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

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 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 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: Foundational Concepts in Programme Evaluation

Module 2: Logic Models, Theory of Change, and Evaluation Questions

Module 3: Choosing the Right Impact Evaluation Design and Counterfactuals

Module 4: Data Collection, Quality Assurance, and Introduction to Statistical Software

Module 5: Non-Experimental Methods: Propensity Score Matching (PSM)

Module 6: Quasi-Experimental Methods: Difference-in-Differences (DiD)

Module 7: Experimental Methods: Randomized Control Trials (RCTs)

Module 8: Advanced Data Analysis: Regression Analysis and Treatment Heterogeneity

Module 9: Integrating Qualitative Data and Mixed-Methods Evaluation

Module 10: Reporting, Dissemination, and Utilization of Evaluation Findings

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: 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 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: 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 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: Introduction to Financial Planning

Module 2: Setting Financial Goals and Objectives

Module 3: Revenue and Expense Forecasting

Module 4: Preparing Operating Budgets

Module 5: Preparing Capital and Cash Budgets

Module 6: Budget Control and Variance Analysis

Module 7: Financial Performance Reporting

Module 8: Strategic Financial Planning

Module 9: Financial Planning Software and Tools

Module 10: Behavioral Aspects of Budgeting

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 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 Epidemic Preparedness

Module 2: Data Management with R

Module 3: Descriptive Statistics in R

Module 4: Inferential Statistics in R

Module 5: Data Visualization with R

Module 6: Introduction to Tableau

Module 7: Advanced Tableau Visualizations

Module 8: Integrating R and Tableau

Module 9: Time Series Analysis in R

Module 10: Geospatial Analysis in Tableau

Module 11: Machine Learning Basics with R

Module 12: Predictive Modeling in R

Module 13: Advanced Analytics with R

Module 14: Tableau Server and Online

Module 15: Data Storytelling with Tableau

Module 16: Real-world Case Studies

Module 17: Best Practices in Data Analysis

Module 18: Course Wrap-up and Review

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: 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: Foundations of Data Mining and Python Setup

Module 2: Data Preprocessing and Feature Engineering

Module 3: Introduction to Classification (Decision Trees & k-NN)

Module 4: Advanced Classification Techniques (Ensemble Methods)

Module 5: Regression for Predictive Modeling

Module 6: Clustering Analysis (Unsupervised Learning)

Module 7: Association Rule Mining and Market Basket Analysis

Module 8: Text Mining and Sentiment Analysis

Module 9: Dimensionality Reduction and Evaluation Metrics

Module 10: Deployment and Ethical Considerations in Data Mining

Here's What You'll Learn:

Module 1: Python Fundamentals for Biomedical Data

Module 2: Data Wrangling with Pandas and NumPy

Module 3: Biostatistics and Inferential Analysis

Module 4: Clinical Data Processing and EHR Analysis

Module 5: Introduction to Genomics and Bioinformatics Data

Module 6: Statistical Modeling for Healthcare Outcomes

Module 7: Machine Learning for Diagnostics and Prognostics

Module 8: Survival Analysis and Time-to-Event Modeling

Module 9: Data Visualization with Matplotlib and Seaborn

Module 10: Geospatial and Epidemiology Data Analysis

Module 11: Power BI Desktop Fundamentals and Data Loading

Module 12: Data Transformation with Power Query (M Language)

Module 13: Designing Robust Data Models in Power BI

Module 14: Introduction to DAX (Data Analysis Expressions)

Module 15: Advanced Power BI Visualizations for Healthcare

Module 16: Creating Interactive Dashboards for Healthcare Performance

Module 17: Integrating Python Scripts and Models into Power BI

Module 18: Ethical AI, Data Governance, and Deployment

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 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: 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: 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:

• 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.

Here's What You'll Learn:

Module 1: Understanding Climate Change and Disaster Risk

Module 2: The Disaster Risk Reduction Framework

Module 3: Vulnerability and Risk Assessment

Module 4: Climate Change Adaptation Strategies

Module 5: Ecosystem-Based Disaster Risk Reduction (Eco-DRR)

Module 6: Early Warning Systems and Communication for DRR

Module 7: Climate-Resilient Infrastructure and Planning

Module 8: Financing Climate Change Adaptation and DRR

Module 9: Governance and Policy for Climate and Disaster Resilience

Module 10: Integrating Climate Change and DRR for Resilient Development

Here's What You'll Learn:

Module 1: Foundations of Research Ethics

Module 2: Informed Consent and Participant Protection

Module 3: Privacy, Confidentiality, and Data Security

Module 4: Data Management and Sharing

Module 5: Authorship and Intellectual Property

Module 6: Peer Review Ethics

Module 7: Research Misconduct

Module 8: Conflict of Interest in Research

Module 9: Responsible Use of Animals in Research

Module 10: Responsible Conduct in Collaborative Research and Emerging Areas

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: Foundations of Public Speaking

Module 2: Conquering Stage Fright and Building Confidence

Module 3: Crafting Your Message and Structuring Your Talk

Module 4: Mastering Vocal Delivery

Module 5: Body Language and Visual Aids

Module 6: Engaging Your Audience

Module 7: Handling Q&A and Impromptu Speaking

Module 8: Advanced Presentation Techniques

Module 9: Storytelling for Impact

Module 10: Creating a Personal Action Plan

Here's What You'll Learn:

Module 1: Introduction to Mixed-Methods Philosophy and Rationale

Module 2: Core Mixed-Methods Designs (Typology)

Module 3: Convergent Parallel Design (Triangulation)

Module 4: Explanatory Sequential Design (QUAN  QUAL)

Module 5: Exploratory Sequential Design (QUAL  QUAN)

Module 6: Sampling in Mixed-Methods Research

Module 7: Data Integration and Mixing Strategies

Module 8: Validity and Rigor in Mixed-Methods

Module 9: Analysis of Mixed-Methods Data

Module 10: Writing and Disseminating Mixed-Methods Findings

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: Introduction to Agricultural Water Resources and Hydrology

Module 2: Soil-Plant-Water Relationships

Module 3: Irrigation Water Quality and Its Management

Module 4: Surface Irrigation Systems Design and Management

Module 5: Sprinkler Irrigation Systems Design and Management

Module 6: Drip and Micro-Irrigation Systems Design and Management

Module 7: Irrigation Scheduling and Water Use Efficiency

Module 8: Drainage and Salinity Management in Irrigated Lands

Module 9: Water Harvesting and Conservation Techniques

Module 10: Economic and Environmental Aspects of Irrigation and Water Management

Here's What You'll Learn:

Module 1: Foundations of Data Analysis in Excel

Module 2: Data Cleaning, Preparation, and Transformation

Module 3: Descriptive Statistics and Exploratory Data Analysis

Module 4: Data Visualization for Insightful Reporting

Module 5: Advanced Formulas and Logical Functions

Module 6: PivotTables and PivotCharts for Aggregation

Module 7: What-If Analysis and Scenario Planning

Module 8: Regression Analysis and Forecasting

Module 9: Introduction to Power Query and Power Pivot

Module 10: Building an Evidence-based Decision-making Framework

Here's What You'll Learn:

• Survey Data Basics: Overview, SPSS introduction, data import, descriptive statistics.
• Data Cleaning: Handling missing data, transformation, validation, data file management.
• Descriptive Statistics & Visualization: Measures of central tendency and dispersion, frequency distributions, data visualization.
• Inferential Statistics: Hypothesis testing, t-tests, ANOVA, Chi-square tests, non-parametric tests.
• Correlation & Regression: Correlation analysis, simple and multiple linear regression, assumptions.
• Advanced Techniques: Factor analysis, cluster analysis, discriminant analysis, logistic regression.
• Data Interpretation & Presentation: Interpreting results, creating tables and figures, writing reports, presentations.
• Survey Weighting: Introduction, applying weights, adjusting for bias, analyzing weighted data.
• Data Quality Assessment: Assessing quality, handling outliers, reliability and validity, ethical considerations.
• Reporting & Dissemination: Writing reports, communicating results, using visuals, ethical reporting.

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 Time Series Data and Components

Module 2: Data Preparation and Visualization in SPSS

Module 3: Smoothing and Classical Decomposition Methods

Module 4: Introduction to Exponential Smoothing Models

Module 5: Advanced Exponential Smoothing: Holt-Winters Models

Module 6: Stationarity, Autocorrelation, and Partial Autocorrelation

Module 7: ARIMA Model Identification and Specification

Module 8: ARIMA Model Estimation and Diagnostic Checking

Module 9: Advanced Forecasting Techniques and Model Comparison

Module 10: Integrating Time Series with Regression 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

Module 7: Communicating Climate Model Outputs

Module 8: Integrating Climate Scenarios into Decision-Making

Module 9: Practical Application of Climate Modeling Tools

Module 10: Developing Custom Climate Scenarios for Planning

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 Quality Management and Variation

Module 2: Fundamentals of Control Charts

Module 3: Control Charts for Variable Data (I-MR, X̄-R)

Module 4: Control Charts for Variable Data (X̄-S and Advanced Techniques)

Module 5: Control Charts for Attribute Data (p and np Charts)

Module 6: Control Charts for Attribute Data (c and u Charts)

Module 7: Process Capability Analysis (Cₚ, Cₚₖ)

Module 8: Advanced Process Monitoring: Cusum and EWMA Charts

Module 9: Pre-Control and Short Run SPC Methods

Module 10: SPC Implementation, Management, and Reporting

Here's What You'll Learn:

Module 1: Understanding Post-Harvest Loss and Food Waste

Module 2: Causes and Hotspots of Post-Harvest Loss