Offered by the Center for Policy and Economic Research (CPER)
⭐ First-of-its-kind training program
This course is offered for the first time in Bangladesh and is designed to meet the needs of learners not only in Bangladesh but also in other countries, following international standards in data visualization and statistical graphics.
📘 Course Overview
Mastering Data Visualization with STATA: A Complete Guide from Fundamentals to Advanced Techniques is a comprehensive, practice-oriented training program offered by the Center for Policy and Economic Research (CPER).
This course is designed to equip participants with the skills required to create clear, accurate, and publication-quality data visualizations using STATA. It follows internationally recognized principles of statistical graphics and is grounded in real-world research, policy, and business applications.
This is a first-of-its-kind training program in Bangladesh, developed to meet the learning needs of participants both locally and internationally. A unique feature of the course is the guided integration of AI tools to support STATA command writing, debugging, and visualization refinement—bridging traditional statistical skills with modern analytical workflows.
📌 Course Structure at a Glance
· Total Classes: Approximately 34 sessions
· Class Duration: 1.5 hours per session
· Schedule: 2 classes per week
· Total Duration: Approximately 17 weeks (4–4.5 months)
· Mode of Delivery: Live online (interactive)
· Course Materials:
o Recorded video lectures
o E-book and reference materials
o STATA do-files and practice datasets
· Assessment: Module-wise assignments
· Final Evaluation: Comprehensive final examination
· Language of Instruction: Bangla
· Payment Option: Course fee payable in three installments
· AI Integration: Guided use of AI tools for STATA commands, debugging, and visualization enhancement
· Internship Opportunity: Research internship opportunity for selected participants
· Certification: Certificate of Completion upon successful course completion
🎯 Course Objectives
The primary objectives of this course are to:
- - Develop a strong conceptual foundation in data visualization and statistical graphics
- - Enable participants to create accurate, effective, and publication-quality graphs using STATA
- - Build the ability to select appropriate graph types for different analytical purposes
- - Enhance skills in customizing and styling graphs for research, policy, and professional reports
- - Introduce responsible and effective use of AI tools to support STATA-based visualization tasks
- - Prepare participants for real-world research and professional data communication challenges
❓ Why Is This Course Essential?
Data visualization is a critical skill in research, policy analysis, business decision-making, and academic communication. Poorly designed graphs can mislead, while well-designed visuals can clearly communicate complex findings.
This course is essential because it:
- - Focuses on principles, not just commands
- - Emphasizes clarity, accuracy, and ethical visualization
- - Aligns with international best practices in statistical graphics
- - Bridges traditional STATA skills with AI-assisted analytical workflows
- - Responds to the growing demand for publication-ready and policy-relevant visuals
✅ Learning Outcomes
By the end of the course, participants will be able to:
- - Understand the principles of effective data visualization
- - Create and customize a wide range of graphs using STATA
- - Visualize trends, relationships, distributions, and uncertainty clearly
- - Design graphs suitable for academic journals, policy reports, and presentations
- - Diagnose and correct common visualization mistakes
- - Use AI tools responsibly to generate, refine, and debug STATA graph commands
- - Apply visualization skills to real research and professional contexts
👥 Target Audience
This course is suitable for a broad range of learners, including:
- - Undergraduate and postgraduate students (economics, statistics, business, social sciences, public policy, and related fields)
- - Researchers and research assistants
- - Development practitioners and policy professionals
- - Business analysts and data professionals
- - Government and NGO professionals working with data
- - Academics and early-career faculty members
Basic familiarity with STATA is recommended, but participants without prior experience can also benefit, as key concepts and workflows are explained clearly and progressively.
📘 Course Syllabus
🧩 Module-wise & Class-wise Syllabus
🔹 Module 1: Foundations of STATA Graphics
(2 Classes)
Class 1: Introduction to Data Visualization & STATA Graphics
- - Importance of data visualization in research, policy, and business
- - Overview of the STATA graphics system
- - Types of STATA graphs
- - Understanding analytical vs presentation graphs
Class 2: Graph Syntax, Options, Schemes & AI Support
- - Structure of STATA graph commands
- - Graph options and suboptions
- - Graph schemes and styling philosophy
- - Using AI tools (e.g., ChatGPT) to generate, explain, and debug STATA graph commands
🔹 Module 2: Twoway Graphs – Core of STATA Visualization
Class 3: Scatterplots and Marker Customization
Class 4: Regression Lines, Fits & Smoothing Techniques
Class 5: Confidence Intervals and Visualizing Uncertainty
Class 6: Line Graphs & Time-Series Visualization
Class 7: Area, Bar & Range Plots (rline, rarea, rcap, rbar)
Class 8: Distribution Plots & Overlaying Multiple Graphs
🔹 AI Integration:
- - Prompting AI to suggest graph types
- - AI-assisted overlay design
- - Improving visualization clarity using AI feedback
🔹 Module 3: Multivariate Visualization
(2 Classes)
Class 9: Scatterplot Matrix Graphs – Concepts & Use
Class 10: Customizing Matrix Graphs & Group Comparisons
🔹 Module 4: Bar Graphs for Categorical Data
(4 Classes)
Class 11: Basic Bar Graphs & Y-variable Specification
Class 12: Over(), Grouping & Axis Control
Class 13: Legends, Labels & Appearance
Class 14: Advanced Bar Graph Design + AI-assisted Optimization
🔹 Module 5: Box Plots
(3 Classes)
Class 15: Introduction to Box Plots & Interpretation
Class 16: Grouped Box Plots & Comparisons
Class 17: Styling, Axes & Best Practices
🔹 Module 6: Dot Plots
(2 Classes)
Class 18: Dot Plot Basics & Use Cases
Class 19: Grouped Dot Plots & Customization
🔹 Module 7: Pie Charts – Use with Caution
(2 Classes)
Class 20: Pie Charts – Construction & Interpretation
Class 21: Styling, Sorting, Labels & Common Mistakes
🔹 Includes international best practices & limitations of pie charts
🔹 Module 8: Options Available for Most Graphs
(4 Classes)
Class 22: Marker Options & Marker Labels
Class 23: Connecting Points & Line Options
Class 24: Axis Titles, Labels & Scales
Class 25: Legends, Text, Notes & Annotations
🔹 AI Use:
- - Using AI to refine labels, titles, and annotations
- - AI-based clarity and readability checks
🔹 Module 9: Standard Options for All Graphs
(2 Classes)
Class 26: Titles, Subtitles, Notes & Captions
Class 27: Graph Regions, Plot Regions & Sizing
🔹 Module 10: Styling & Visual Design
(2 Classes)
Class 28: Colors, Patterns, Line Styles & Symbols
Class 29: Designing Publication-Quality Graphics
🔹 Module 11: Professional Practice
(5 Classes)
Class 30: Statistical Graph Commands Overview
Class 31: Saving, Exporting & Combining Graphs
Class 32: Common Mistakes & Advanced Examples
Class 33: Custom Schemes, Workflow & Efficiency
Class 34: Final Review, Career Guidance & Next Steps
🎓 Assessment, Exam & Certification
- - Assignment at the end of each module
- - Feedback and improvement guidance
- - Final Examination at the end of the course.
- - Certificate of Completion after successful course completion
🤖 AI-Assisted Learning (Unique Feature)
Participants will learn how to:
- - Use AI to generate STATA graph commands
- - Debug STATA errors with AI assistance
- - Improve visualization design using AI feedback
- - Combine human judgment with AI efficiency
💼 Research Internship Opportunity
- - Top-performing participants will be considered for
Research Internship opportunities with CPER - - Opportunity to work on real research and policy projects
💰 Course Fee
Recommended Fee:
- - BDT 8,000 for Students
- - BDT 10,000 for Professionals
Payment Options:
- ✔ Pay in 3 installments
- ✔ Student-friendly structure
🎥 Additional Benefits
- - Recorded video lectures are provided after each class
- - Course materials, Book, datasets & reference notes
- - Live Q&A and interactive learning
- - Suitable for participants from Bangladesh
📌 Final Positioning Statement
This is the first comprehensive, AI-integrated STATA data visualization training program offered in Bangladesh, designed to serve learners both nationally and internationally.