Program Evaluation Bootcamp
PKR 30,000
PKR 25,000 for Women and Alumni
- Online
- 2nd May
- 2 Months
- Mondays, Wednesdays, & Fridays 7:00 PM - 9:00 PM
Course Description
The Program Evaluation Bootcamp is a comprehensive training program designed to equip you with the skills needed to assess the effectiveness of policies and programs. You will learn key research methods, including experimental and quasi-experimental techniques like Randomized Controlled Trials, Difference-in-Differences, Regression Discontinuity Design, and Propensity Score Matching. The course also covers survey design, data cleaning, statistical analysis, and qualitative research methods. Additionally, you will develop skills in data visualization and report writing, ensuring you can effectively communicate your findings to policymakers and stakeholders.
The course is designed to help you gain hands-on experience with industry-standard tools like Stata, Excel and QGIS. You will work with real-world case studies and learn directly from professionals in the field. This course is ideal for researchers, development practitioners, and policy analysts looking to develop or strengthen their evaluation skills. By the end of the program, you will be able to design and conduct program evaluations, analyze data confidently, and produce reports that drive meaningful change. Whether you want to advance in your current role or explore new career opportunities in program evaluation, this bootcamp will provide you with the knowledge and practical experience needed to succeed.
Course Content
- Intro to key frameworks in program evaluation
- Use cases of program evaluation
- Hypothesis and research questions formation
- Theory of Change, Logical Framework
- Probability vs non-probability sampling
- Common sampling methods
- Power calculations for program evaluation
- Intro to surveys, census and administrative data
- Types of surveys in development research
- Designing surveys for RCTs, DiD, PSM, RDD
- Common biases in conducting surveys
- Merging survey data with other datasets
- Intro to Stata, Excel and GIS
- Understanding raw data structures
- Common data entry errors and inconsistencies
- Handling missing data
- Variable recording and transformation
- Data cleaning in Stata
- Descriptive statistics and summary tables
- Data visualization for impact analysis
- Identifying outliers and data distribution
- Understanding sampling distribution and confidence intervals
- Hypothesis testing and statistical significance
- Ordinary Least Squares (OLS) Regression
- Logistic Regression (for binary outcomes)
- Handling Endogeneity and Selection Bias
- RCT foundation and design
- RCT implementation and fieldwork
- Analysis of RCT data
- Natural Experiments
- Difference in Difference
- Regression Discontinuity Design
- Propensity Score Matching
- Effective data visualization and choosing the right charts
- Hands-on practice with tools like Excel and QGIS
- Storytelling with data to create compelling narratives
- Best practices for report writing, presentations, and infographics
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- Applying experimental and quasi-experimental methods to a full case study
- Integrating qualitative and quantitative insights
- Identifying challenges, biases, and key takeaways from real-world data
- Final project and presentation of findings and recommendations
STANDARD
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2 Months
Alumni Discount Fee
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2 Months
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For Women and Alumni
Key Features
Make a greater impact with program evaluation and data-driven decision-making.
Hands-on Experience with Industry Tools
Get practical training with tools like Stata, Excel, and QGIS for data analysis and visualization.
Unlock Career Opportunities in Program Evaluation
Build skills needed for roles in government agencies, international organizations, and consulting opportunities in the development sector.
Learn to Conduct Robust Research
This is an extensive course in qualitative and quantitative research methods to assess program impact effectively.
Real-World Case Studies & Expert Insights
Learn from real evaluations and gain insights from academics and professionals working in the field.