An Introduction to Stata

Course Curriculum

Chapter 1: Getting to know the user interface

Lecture 1: Introduction to the user interface

Lecture 2: Why data matters

Lecture 3: Navigating the graphical user interface

Lecture 4: Looking at a dataset

Lecture 5: Organizing work by using directories

Lecture 6: The help and search commands

Lecture 7: Stata and the Internet

Lecture 8: Conclusion

Chapter 2: Working with a new Dataset

Lecture 1: Introduction to datasets + navigating to the correct folder

Lecture 2: Ceating a dataset by typing + Activity

Lecture 3: Creating a dataset by importing

Lecture 4: Loading a dataset

Lecture 5: Conclusion

Chapter 3: Making the data more readable

Lecture 1: Introduction: The importance of formatting

Lecture 2: Naming the variables

Lecture 3: Labelling variables

Lecture 4: Labelling values

Lecture 5: Encoding categorical variables

Lecture 6: Project

Chapter 4: Inspecting records that fullfill certain criteria

Lecture 1: Introduction: Looking at specific records

Lecture 2: The _n variable and the in qualifier

Lecture 3: The if qualifier and the AND and OR operators

Lecture 4: Conclusion

Chapter 5: Looking at the data more closely

Lecture 1: Introduction to variables

Lecture 2: Inspecting numerical variables

Lecture 3: Inspecting categorical variables

Lecture 4: Conclusion

Chapter 6: Modifying the data

Lecture 1: Introduction: Why modify the data?

Lecture 2: Renaming variables

Lecture 3: Replacing values

Lecture 4: Generating a new variable

Lecture 5: Deleting a variable or an observation

Lecture 6: Conclusion

Chapter 7: Automating the process using do files

Lecture 1: Introduction: Programming using Stata

Lecture 2: Creating and saving a do file

Lecture 3: Using do files

Lecture 4: Conclusion

Chapter 8: Conclusion to the course – Final Project

Lecture 1: Recap of the course

Lecture 2: Final activity

Lecture 3: Conlcusion: Next steps