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: Project Cycle Management Fundamentals

Module 2: Project Identification and Design

Module 3: Project Planning and Logical Framework

Module 4: Project Implementation and Monitoring

Module 5: Project Evaluation and Learning

Module 6: Grant Management and Donor Reporting

Module 7: Risk Management in Humanitarian Projects

Module 8: Stakeholder Engagement and Accountability

Module 9: Transition and Closeout

Module 10: Practical Application and Case Study

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: 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 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: Introduction to GIS and Public Health in Humanitarian Contexts

Module 2: Geospatial Data Collection and Management for Health Emergencies

Module 3: Core QGIS Functionalities for Public Health Analysis

Module 4: Spatial Epidemiology and Advanced Disease Mapping

Module 5: Environmental Health Risk Assessment and Mapping

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

Module 7: Population Mapping, Vulnerability, and Displacement Analysis

Module 8: Introduction to Epi Info for Epidemiological Data Management

Module 9: Advanced Epi Info Data Analysis and Survey Design

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

Module 11: Geocoding and Address Matching for Public Health Data

Module 12: Network Analysis for Health Logistics and Access

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

Module 14: Automated Mapping and Reporting with QGIS

Module 15: Introduction to Remote Sensing for Public Health

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

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

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

Here's What You'll Learn:

Module 1: Foundations of Robust Research Design

Module 2: Conceptualizing the Research Framework

Module 3: Sampling Strategies and Ethical Practice

Module 4: Introduction to Data Types and Management

Module 5: Implementing Mobile Data Collection Tools

Module 6: Advanced Survey Design for Mobile Platforms

Module 7: Form Programming, Logic, and Deployment

Module 8: Real-Time Data Quality Assurance

Module 9: Introduction to Qualitative Data Analysis and NVIVO

Module 10: NVIVO: Importing, Organizing, and Initial Coding

Module 11: NVIVO: Advanced Thematic Analysis and Node Structures

Module 12: NVIVO: Queries, Visualizations, and Reporting

Module 13: Introduction to Quantitative Analysis and the Stata Environment

Module 14: Stata: Data Management, Cleaning, and Manipulation

Module 15: Stata: Descriptive Statistics and Advanced Data Visualization

Module 16: Stata: Inferential Statistics - Comparison Tests and Power

Module 17: Stata: Regression Analysis (Linear and Logistic Models)

Module 18: Synthesis, Interpretation, and High-Impact Reporting

Here's What You'll Learn:

Module 1: Foundations of Industrial Data and Python Environment Setup

Module 2: Python Fundamentals for Industrial Data Processing (Pandas)

Module 3: Time Series Analysis of Sensor Data (Resampling and Filtering)

Module 4: Advanced Data Preprocessing and Feature Engineering

Module 5: Descriptive and Exploratory Data Analysis in Python

Module 6: Statistical Process Control (SPC) and Anomaly Detection

Module 7: Predictive Maintenance: Classification Models in Python

Module 8: Regression Models for Process Optimization

Module 9: Introduction to Power BI for Data Connection

Module 10: Data Transformation and M-Query for Industrial Data

Module 11: Data Modeling for Manufacturing and IoT Datasets

Module 12: DAX Fundamentals for Calculating Operational Metrics

Module 13: Creating Interactive Performance Dashboards in Power BI

Module 14: Integrating Python Visuals and Scripts into Power BI

Module 15: Root Cause Analysis and Drill-Through Reporting

Module 16: Data Security and Governance in Industrial Analytics

Module 17: Automating Data Pipelines and Dashboard Deployment

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

Here's What You'll Learn:

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

Module 2: Principles of Post-Harvest Handling and Storage

Module 3: Food Preservation Technologies

Module 4: Food Quality Control and Safety

Module 5: Processing of Grains and Cereals

Module 6: Processing of Fruits and Vegetables

Module 7: Processing of Dairy and Meat Products

Module 8: Packaging and Labeling of Food Products

Module 9: Food Waste Reduction and Value Addition

Module 10: Food Business Development and Regulations

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

Module 1: Introduction to Livestock Management and Health

Module 2: Animal Anatomy, Physiology, and Nutrition

Module 3: Livestock Breeding Systems and Genetic Improvement

Module 4: Common Livestock Diseases in Kenya

Module 5: Livestock Disease Prevention and Biosecurity

Module 6: Livestock Feeding and Ration Formulation

Module 7: Reproductive Management in Livestock

Module 8: Housing and Handling of Livestock

Module 9: Livestock Production Economics and Marketing

Module 10: Modern Technologies in Livestock Management

Here's What You'll Learn:

Module 1: Fundamentals of 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 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: 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: 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