COURSE INFORMATION

Scheduled Dates:   17 – 21 Feb 2025 | 19 – 23 May 2025 | 18 – 22 Aug 2025 |17 – 21 Nov 2025

Duration: 2 Weeks

Customized dates and one-on-one sessions can be organized.

PREAMBLE

The CPM STATA for Data Analysis one-week course is designed to equip participants with the practical skills needed to use STATA, a powerful statistical software package, for data analysis and management. This course covers the fundamentals of STATA, including importing and cleaning data, performing descriptive and inferential statistical analysis, and creating visualizations. Participants will learn how to write and execute commands in STATA, conduct various statistical tests, and interpret results in the context of real-world research or business problems. This course is suitable for beginners or those looking to expand their knowledge of STATA for data analysis tasks in economics, social sciences, health research, and other fields.

TARGET GROUP

The training is designed for:

• Researchers, analysts, and professionals who need to conduct statistical analysis on data.
• Graduate students and academic researchers in social sciences, economics, public health, and other data-driven fields.
• Anyone interested in learning STATA for data analysis, including beginners with no prior experience in statistics.
• Professionals working in data science, market research, or any field that requires statistical analysis and reporting.

COURSE OBJECTIVES

By the end of the training, participants will be able to:

• Navigate the STATA interface and understand its key components.
• Import, clean, and manage data in STATA from different sources (e.g., Excel, CSV, databases).
• Perform descriptive statistics to summarize and explore datasets.
• Conduct inferential statistical tests, including t-tests, ANOVA, chi-square tests, and regressions.
• Visualize data through histograms, box plots, scatter plots, and other graphics in STATA.
• Generate and manipulate variables for more complex analyses.
• Write and execute do-files for automating data analysis tasks.
• Interpret and communicate results from statistical analyses in a clear and concise manner.

COURSE OUTLINE

The following units will be discussed

1. Introduction to STATA and Data Management
2. Descriptive Statistics and Data Exploration
3. Inferential Statistics
4. Regression Analysis
5. Automating Analysis and Advanced Topics

REGISTRATION

 To register, kindly fill the Seminar Registration Form and send it to us through:

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TERMS AND CONDITIONS OF PAYMENT

1. Fees Payment - All fees are payable strictly in advance 2 working days before the course starting date.
2. Cancellation Fee - Cancellation of any participant 5 working days before the start day of a course will incur a 20% cancellation fee.
   We regret that no cancellations will be accepted within 2 working days of a course, but substitutions may be made.