Here's What You'll Learn:

Module 1: Foundations of HR Metrics and Strategic Analytics

Module 2: Power BI Desktop: Setup, Data Connection, and Interface

Module 3: Data Transformation and Cleaning using Power Query Editor

Module 4: Mastering DAX for HR Calculations and Business Logic

Module 5: Designing Interactive Workforce and Engagement Dashboards

Module 6: Analytics for Recruitment, Talent Acquisition, and Efficiency

Module 7: Learning & Development (L&D) and Performance Analytics

Module 8: Compensation, Equity, and Total Rewards Analysis

Module 9: Advanced Data Visualization and Storytelling in Power BI

Module 10: Report Sharing, Governance, and Introduction to Predictive HR Analytics

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: 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: Foundations of Healthcare Leadership

Module 2: Communication and Interpersonal Skills

Module 3: Team Building and Team Leadership

Module 4: Managing Change and Innovation

Module 5: Conflict Resolution and Negotiation

Module 6: Strategic Planning and Implementation

Module 7: Decision-Making in Healthcare

Module 8: Ethical Leadership in Healthcare

Module 9: Healthcare Policy and Advocacy

Module 10: Quality Improvement and Patient Safety

Here's What You'll Learn:

Module 1: Understanding Climate Change Impacts and Adaptation

Module 2: Vulnerability and Risk Assessment

Module 3: Ecosystem-Based Adaptation (EbA)

Module 4: Infrastructure and Technology-Based Adaptation

Module 5: Policy, Governance, and Legal Frameworks for Adaptation

Module 6: Climate-Resilient Agriculture and Food Security

Module 7: Water Resources Management in a Changing Climate

Module 8: Health and Human Settlements Adaptation

Module 9: Climate Finance for Adaptation

Module 10: Developing and Implementing Adaptation Plans

Here's What You'll Learn:

Module 1: The Business Case for ESG Integration

Module 2: Integrating ESG into Corporate Strategy

Module 3: Embedding ESG into Business Operations

Module 4: ESG in Supply Chain and Procurement

Module 5: ESG and Human Resources

Module 6: Governance and Risk Management

Module 7: Innovation and Opportunity from ESG

Module 8: Communication and Reporting

Module 9: Measuring and Monitoring Progress

Module 10: Final Project and Action Planning

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: Introduction to Competition Law

Module 2: Anti-Competitive Agreements and Concerted Practices

Module 3: Abuse of Dominant Position

Module 4: Merger Control

Module 5: Unfair Competition Practices

Module 6: Enforcement of Competition Law

Module 7: International Aspects of Competition Law

Module 8: Competition Law Compliance Programs

Module 9: Sector-Specific Competition Issues

Module 10: Interface Between Competition Law and Intellectual Property Rights

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: 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 Event Management

Module 2: Event Planning and Design

Module 3: Event Logistics and Operations

Module 4: Marketing and Promotion for Events

Module 5: Public Relations Fundamentals

Module 6: Media Relations and Crisis Communication

Module 7: Sponsorship and Fundraising

Module 8: Risk Management and Legal Aspects

Module 9: Event Technology and Innovation

Module 10: Post-Event Evaluation and Reporting

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 Proposal Writing in the Humanitarian and Development Sectors

Module 2: Needs Assessment and Problem Analysis

Module 3: Theory of Change and Logframe Development

Module 4: Designing Project Activities and Implementation Plans

Module 5: Budgeting and Resource Mobilization

Module 6: Writing the Technical Narrative (The Core Proposal)

Module 7: Monitoring, Evaluation, Accountability, and Learning (MEAL)

Module 8: Understanding Donor Requirements and Compliance

Module 9: Partnership Building and Stakeholder Analysis

Module 10: Review, Submission, and Follow-up Strategies

Here's What You'll Learn:

Module 1: Understanding Customer Service

Module 2: Effective Communication Skills

Module 3: Building Rapport and Trust

Module 4: Handling Difficult Situations and Complaints

Module 5: Problem-Solving and Resolution

Module 6: Emotional Intelligence in Service

Module 7: Understanding Customer Expectations

Module 8: Delivering Personalized Service

Module 9: Service Recovery and Loyalty

Module 10: Continuous Improvement and Service Excellence

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 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: STATA Programming and Data Management Fundamentals

Module 2: Advanced Data Reshaping and Cleaning Techniques

Module 3: Mastering Linear Regression Diagnostics and Extensions

Module 4: Generalized Linear Models (GLM) and Non-Linear Regression

Module 5: Time Series Analysis and Forecasting in STATA

Module 6: Panel Data Econometrics: Fixed and Random Effects

Module 7: Instrumental Variables (IV) and Treatment Effects Modeling

Module 8: Survival Analysis and Event History Modeling

Module 9: Survey Data Analysis and Weighting Methods

Module 10: Automation, Custom Reports, and Reproducible Research

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

·       

Module 1: Introduction to MEAL for Health Projects

Module 2: Designing MEAL Systems for Health Projects

Module 3: Participatory Data Collection Techniques

Module 4: Data Management and Storage

Module 5: Data Analysis and Interpretation

Module 6: Impact Evaluation in Health Projects

Module 7: Accountability Mechanisms for Health Projects

Module 8: Integrating Learning into Health Projects

Module 9: Using MEAL Findings in Health Projects

Module 10: Reporting and Communicating MEAL Results

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 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 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: 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 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

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:

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 Public Relations

Module 2: Media Relations and Engagement

Module 3: Strategic Public Relations Planning

Module 4: Internal Communications and Employee Engagement

Module 5: Crisis Communication and Issues Management

Module 6: Digital PR and Social Media Strategy

Module 7: Content Creation for Public Relations

Module 8: Public Speaking and Presentation Skills for PR Professionals

Module 9: Measuring and Evaluating PR Effectiveness

Module 10: Ethical Considerations and Future Trends in PR

Here's What You'll Learn:

Module 1: Foundations of Productive Meetings

Module 2: The Pre-Meeting Planning Stage

Module 3: Facilitating and Leading the Meeting

Module 4: Mastering Communication During Meetings

Module 5: Managing Group Dynamics and Difficult Behaviors

Module 6: Making Effective Decisions in Meetings

Module 7: The Post-Meeting Follow-Up

Module 8: Leveraging Technology for Virtual Meetings

Module 9: Types of Meetings and Their Specific Needs

Module 10: Sustaining a Culture of Effective Meetings

Here’s What You’ll Learn:

Module 1: Java Fundamentals and Environment Setup

Module 2: Object-Oriented Programming (OOP) Concepts

Module 3: Control Flow and Arrays

Module 4: Classes, Objects, and Methods

Module 5: Inheritance, Polymorphism, and Abstract Classes

Module 6: Interfaces and Packages

Module 7: Exception Handling

Module 8: Collections Framework Part 1 (Lists and Sets)

Module 9: Collections Framework Part 2 (Maps and Iterators)

Module 10: Input/Output (I/O) Streams

Module 11: Generics

Module 12: Multithreading and Concurrency Basics

Module 13: Introduction to Lambda Expressions and the Stream API

Module 14: Java Database Connectivity (JDBC)

Module 15: Unit Testing with JUnit

Module 16: Introduction to Design Patterns

Module 17: Build Tools and Project Management (Maven/Gradle)

Module 18: Advanced Topics and Modern Java Features

 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 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: 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: Foundations of Networking

Module 2: The Art of Conversation

Module 3: Building Your Personal Brand

Module 4: Digital Networking

Module 5: Strategic Networking

Module 6: Leveraging Your Existing Network

Module 7: Maintaining Relationships

Module 8: Networking in a Global Context

Module 9: Networking for Career Advancement

Module 10: The Give and Take of Networking

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 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: 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: Introduction to Project Budgeting

Module 2: Cost Estimation and Budget Development

Module 3: Budget Allocation and Control

Module 4: Risk Management in Project Budgeting

Module 5: Forecasting Project Costs

Module 6: Project Cost Analysis

Module 7: Budgeting for Resources

Module 8: Budgeting for Procurement

Module 9: Stakeholder Management and Budgeting

Module 10: Advanced Topics in Project Budgeting

Here's What You'll Learn:

Module 1: Foundations of Gender Concepts

Module 2: Tools for Gender Analysis

Module 3: Integrating Gender into Project Planning

Module 4: Gender and Economic Empowerment

Module 5: Gender in Governance and Leadership

Module 6: Monitoring and Evaluation

Module 7: Gender and Humanitarian Action

Module 8: Gender in Health and Education

Module 9: Communication and Advocacy

Module 10: Institutionalizing Gender Mainstreaming

This is what you’ll learn:

Module 1: Strategic Presentation Planning and Audience Analysis

Module 2: Crafting Compelling Narratives and Key Messages

Module 3: Advanced Visual Design Principles for Presentations

Module 4: Mastering Dynamic Delivery and Stage Presence

Module 5: Utilizing Storytelling Techniques for Engagement

Module 6: Handling Difficult Questions and Challenging Audiences

Module 7: Integrating Technology and Multimedia Effectively

Module 8: Persuasion and Influence Techniques in Presentations

Module 9: Presenting Data and Complex Information Clearly

Module 10: Polishing Your Performance: Rehearsal and Feedback

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 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: 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: 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 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 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: 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 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: 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: 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 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 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: 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: 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: 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

Module 1: Introduction to PMP® Certification and Exam Overview
Module 2: Project Management Fundamentals and Frameworks
Module 3: Project Integration Management
Module 4: Project Scope Management
Module 5: Project Schedule Management
Module 6: Project Cost Management
Module 7: Project Quality Management
Module 8: Project Resource Management
Module 9: Project Communications Management
Module 10: Project Risk Management
Module 11: Project Procurement Management
Module 12: Project Stakeholder Management
Module 13: Agile and Hybrid Project Management
Module 14: Ethics and Professional Responsibility
Module 15: Characteristics and Qualities of a Project Manager 

Module 16: Project Team Leadership and Governance 
Module 17: Mock Exam (Full-Length Simulation) 

Module 18: Final Exam Review and Test-Taking Strategies

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: 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 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 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 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

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: 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

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

Module 1: Introduction to M&E for Community-Based Projects

Module 2: Designing M&E Systems for Community-Based Projects

Module 3: Data Collection Techniques

Module 4: Data Management and Storage

Module 5: Data Analysis for Community-Based Projects

Module 6: Impact Evaluation

Module 7: Using M&E Findings in Community-Based Projects

Module 8: Addressing M&E Challenges in Community-Based Projects

Module 9: Advanced M&E Techniques

Module 10: Reporting and Communicating M&E Results

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 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: 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: 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 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 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 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: Foundations of Leadership

Module 2: Self-Awareness and Emotional Intelligence

Module 3: Effective Communication for Leaders

Module 4: Motivation and Delegation

Module 5: Conflict Resolution and Negotiation

Module 6: Coaching and Mentoring

Module 7: Strategic Thinking and Decision-Making

Module 8: Leading Change and Innovation

Module 9: Building High-Performing Teams

Module 10: Creating a Personal Leadership Plan

Here's What You'll Learn:

Module 1: Principles of Clear and Effective Scientific Writing

Module 2: Structuring Different Types of Scientific Manuscripts

Module 3: Writing Compelling Introductions and Methods

Module 4: Presenting Results Effectively

Module 5: Writing Insightful Discussions and Conclusions

Module 6: Journal Selection and the Submission Process

Module 7: Navigating Peer Review and Responding to Reviewers

Module 8: Ethical Considerations in Scientific Publication

Module 9: Writing Impactful Abstracts and Cover Letters

Module 10: Enhancing Publication Impact and Visibility

Module 1: Introduction to Internal Controls

Module 2: Fraud Risk Assessment

Module 3: Fraud Prevention Strategies

Module 4: Fraud Detection Techniques

Module 5: Fraud Investigation and Reporting

Module 6: Legal and Ethical Considerations

Module 7: Role of Technology in Internal Controls

Module 8: Building a Fraud-Resilient Organization

Module 9: Monitoring and Evaluation of Controls

Module 10: Emerging Trends and Challenges in Fraud Prevention

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

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

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

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: 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

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

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: 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 Growth Mindset

Module 2: The Neuroscience of Learning

Module 3: Active Learning Strategies

Module 4: Harnessing the Power of Failure

Module 5: Developing a Culture of Inquiry and Curiosity

Module 6: Goal Setting and Sustainable Learning

Module 7: The Role of Feedback in Growth

Module 8: Overcoming Fixed Mindset Traps

Module 9: Practical Application and Skill Integration

Module 10: Sustaining Your Growth Journey

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 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: 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 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: 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: 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 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 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 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 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: 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: 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: 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:

• 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: 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: 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 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 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: 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: 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:

Module 1: Introduction to Horticulture and Its Importance

Module 2: Site Selection, Soil Health, and Nutrient Management

Module 3: Propagation Techniques for Horticultural Crops

Module 4: Integrated Pest and Disease Management

Module 5: Water Management and Irrigation Systems

Module 6: Protected Cultivation and Modern Horticultural Systems

Module 7: Pruning, Training, and Crop Management

Module 8: Post-Harvest Handling and Storage of Horticultural Produce

Module 9: Marketing and Value Addition in Horticulture

Module 10: Sustainable and Organic Horticultural Practices

Module 1: Introduction to Public Sector Accounting and IPSAS

Module 2: Core IPSAS Standards - Presentation of Financial Statements

Module 3: Core IPSAS Standards - Assets

Module 4: Core IPSAS Standards - Liabilities and Equity

Module 5: Core IPSAS Standards - Financial Instruments

Module 6: Specific Public Sector Issues under IPSAS

Module 7: Transition to IPSAS Accrual Accounting

Module 8: Budgeting and Financial Reporting under IPSAS

Module 9: Current Developments and Interpretations of IPSAS

Module 10: Practical Application and Case Studies in the Kenyan Public 

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 will learn

Module 1: Introduction to Occupational Safety and Health in Construction
Module 2: Personal Protective Equipment (PPE)
Module 3: Ergonomics in Construction
Module 4: Chemical Safety in Construction
Module 5: Machinery and Equipment Safety
Module 6: Emergency Preparedness and Response
Module 7: Health and Hygiene in Construction
Module 8: Environmental Safety and Sustainability
Module 9: Accident Investigation and Reporting
Module 10: Safety Culture and Leadership

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: 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: 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: 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

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: 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: 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: 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: 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 MLOps and the ML Lifecycle

Module 2: Version Control and Experiment Tracking

Module 3: ML Model Packaging and Containerization

Module 4: CI/CD for Machine Learning

Module 5: Model Deployment Strategies

Module 6: Monitoring and Logging in Production

Module 7: Infrastructure and Orchestration (Kubernetes/Cloud)

Module 8: Model Governance and Regulatory Compliance

Module 9: Data and Model Drift Detection

Module 10: Advanced MLOps Patterns and Future Trends

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: 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