Stata Crash Course: Opening Data and Basic Tasks

This crash course is specifically designed for beginners who want to quickly and confidently learn how to work with data using Stata. Whether you are a student conducting research, a professional working with data, or anyone who wants to develop practical data analysis skills, this course will guide you step-by-step through the most essential tools and techniques in Stata. By the end of the course, you will have the confidence to handle datasets, explore variables, and perform analyses with ease.

The course starts with the very basics: how to open datasets in Stata, explore data, and understand the structure of your variables. You will learn how to check value labels, identify missing data, and summarize your dataset to get a clear overview of your information. These foundational skills will ensure that you can work efficiently and accurately with any dataset you encounter.

Next, you will move into important data management techniques. This includes importing data from Excel, creating and generating new variables, and understanding how to transform your data for analysis. You will also learn how to create clear, informative graphs to visualize your data, making your results easier to understand and present.

The course then covers key statistical techniques, beginning with descriptive statistics to summarize your data and moving into inferential statistics to make conclusions about your data. You will learn how to run simple and multiple regression analyses, as well as logistic regression for binary outcomes. Along the way, you will learn how to interpret results, check model assumptions, and present findings clearly.

By the end of this course, you will be able to:

• Open, explore, and organize datasets in Stata efficiently

• Manage and prepare data for analysis, including creating new variables

• Generate descriptive statistics and create informative graphs

• Perform regression and logistic regression analysis and interpret the results

• Present your analysis clearly in tables and graphs for reports, presentations, or publications

This course does not require any prior experience with Stata — all you need is a willingness to learn and a curiosity to explore data. With practical examples, step-by-step instructions, and hands-on exercises, you will gain the skills and confidence to start analyzing your own data effectively and accurately.

Who this course is for:

• Master’s and PhD students who need to analyse data for their research
• Beginners who want to learn Stata step by step