What you'll learn
- Navigating the graphical user interface
- Create and import new datasets
- Format datasets
- Modify records
- Encode variables
- Generate specific output for different types of variables
- Create and use do files
Requirements
- Have a basic knowledge of how to use regular desktop programs
Description
This is an introductory course to Stata. The course assumed to previous knowledge of the software nor any statistical knowledge. The course does not teach statistics. The goal of the course is to teach students about the basic functionality of Stata and how it can be used to analyze large data sets. The course contains two projects for students to work on. It also provides a step-by-step approach in covering all of the material where I go through the commands one by one. In addition to the video lectures, I have included the scripts of the lectures so that students can also study and revise the material without having to watch videos. Although Stata comes with many data sets, this course utilizes my own data sets in order to explain to students the thought process involved in collecting data.
Who this course is for:
- Beginner data scientists looking to learn how to use Stata
Course content
- Preview01:21
- Preview08:21
- Preview07:01
- 10:01Looking at a dataset
- 08:53Organizing work by using directories
- 10:51The help and search commands
- 09:20Stata and the Internet
- 01:47Conclusion
Instructor
![Najib Mozahem](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.5 Instructor Rating
- 680 Reviews
- 8,757 Students
- 7 Courses
Najib Mozahem works as a researcher and as an assistant professor at university level, where he teaches Quantitative Analysis. He holds a Bachelor’s degree in Computer and Communication Engineering, completed his MBA with distinction, and completed his PhD in Organizational Theory where he won the best thesis prize for PhD. He has also received the teaching excellence award for the year 2016 – 2017. His research interests include quantitative modeling and the study of human behavior in organizations.