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SayPro 100 Topics for Workshops That Will Help Professionals Improve their Data Analysis Skills in Monitoring and Evaluation.
Email: info@saypro.online Call/WhatsApp: + 27 84 313 7407
SayPro is a Global Solutions Provider working with Individuals, Governments, Corporate Businesses, Municipalities, International Institutions. SayPro works across various Industries, Sectors providing wide range of solutions.
Introduction to Data Analysis in M&E
Data Collection Techniques for Effective Analysis
Data Cleaning and Preprocessing
Exploratory Data Analysis (EDA)
Descriptive Statistics for M&E
Inferential Statistics in M&E
Using Excel for Data Analysis
Advanced Excel Functions for M&E
Introduction to SPSS for Data Analysis
Intermediate SPSS Techniques
Using R for Data Analysis
Data Visualization with R
Introduction to Python for Data Analysis
Python Libraries for Data Analysis (Pandas, NumPy)
Introduction to SQL for Data Management
Using SQL for Data Analysis
Data Visualization with Tableau
Advanced Data Visualization Techniques
Creating Dashboards for M&E
Storytelling with Data
Data Analysis with Power BI
Machine Learning Basics for M&E
Applying Predictive Analytics in M&E
Data Mining Techniques
Time Series Analysis for Monitoring
Using GIS for Spatial Data Analysis
Geospatial Data Visualization
Introduction to Qualitative Data Analysis
Thematic Analysis for Qualitative Data
Using NVivo for Qualitative Analysis
Coding Qualitative Data
Mixed Methods Data Analysis
Data Triangulation Techniques
Big Data in Monitoring and Evaluation
Introduction to Data Ethics
Ensuring Data Quality in M&E
Real-Time Data Analysis Techniques
Data Integration Methods
Developing M&E Indicators
Creating Data Analysis Plans
Using Mobile Data Collection Tools
Crowdsourcing Data for M&E
Conducting Surveys for Data Collection
Data Analysis for Impact Evaluation
Cost-Benefit Analysis in M&E
Value for Money Analysis
Social Network Analysis
Data Analysis for Needs Assessments
Behavioral Data Analysis
Using Social Media Data in M&E
Sentiment Analysis Techniques
Conducting Data Audits
Advanced Statistical Modeling
Regression Analysis in M&E
Correlation and Causation in Data
Data Analysis for Health Programs
Education Data Analysis Techniques
Livelihoods Data Analysis
Agricultural Data Analysis Methods
Environmental Data Analysis
Water, Sanitation, and Hygiene (WASH) Data Analysis
Child Protection Data Analysis
Using Remote Sensing Data
Randomized Controlled Trials (RCTs) in M&E
Survey Design and Data Analysis
Sample Size Calculation Techniques
Ethnographic Data Analysis
Longitudinal Data Analysis
Cluster Analysis in M&E
Data Fusion Techniques
Network Analysis for Program Evaluation
Data Analysis for Governance Projects
Monitoring and Evaluating Digital Interventions
Real-World Applications of Data Science in M&E
Handling Missing Data
Statistical Process Control in M&E
Data Visualization Best Practices
Developing Interactive Reports
Spatial Data Analysis Techniques
Participatory Data Analysis Methods
Data Analysis for Policy Influence
Managing Big Data Projects
Machine Learning for Predictive Modeling
Developing Data-Driven Decision Making
Monitoring Climate Change Programs
Analyzing Conflict Data
Data Analysis for Social Impact
Analyzing Survey Data with Stata
Cross-Tabulation and Pivot Tables in Excel
Statistical Significance Testing
Data Analytics for Monitoring Progress Towards SDGs
Using Data to Drive Program Improvements
Analyzing Qualitative Data with Atlas.ti
Behavioral Insights for Data Analysis
Data Analysis for Food Security Programs
Implementing Data Governance Frameworks
Using Data for Accountability and Transparency
Ethics and Privacy in Data Analysis
Developing Data Literacy Skills
Future Trends in Data Analysis for M&E
- Neftaly Malatjie | CEO | SayPro
- Email: info@saypro.online
- Call: + 27 84 313 7407
- Website: www.saypro.online
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