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About Course
The STATA course provides an introductory training in Stata, a statistical package increasingly used for data analysis which has powerful data manipulation procedures and extensive and powerful statistical capabilities.
Course objective(s)
The course intends to familiarize with Stata. The participants will be introduced to Stata’s data handling methods, general introduction to graphics, descriptive statistics, and regression analysis and missing data analysis. We give an emphasis on data problems encountered in applied work based on experiences of participants. At the end of each session, the participants will be given assignments that involve the use of Stata and solutions to the assignments will be discussed in class. Up on completing the course, participants will have covered the following through a combination of presentation and practical sessions:
Course Content(s)
Introducing the STATA Environment
Working with commands, do-files, and results
Data management and manipulation
Preparing and transforming your data,
Data Visualization: Principle of data visualization, Graphics and Tables
Descriptive Statistics, Exploratory data analysis
Univariate analysis, Handling Outliers
Introduction to Programming using Stata: Macros, loops and conditions
Define and manipulate programs, Programming Loops, Programming (Ado-files)
Model building
Understanding reproducibility
Mental Health Data Management & Quality Control
Working with commands, do-files, and results
Data management and manipulation
Preparing and transforming your data,
Data Visualization: Principle of data visualization, Graphics and Tables
Descriptive Statistics, Exploratory data analysis
Univariate analysis, Handling Outliers
Introduction to Programming using Stata: Macros, loops and conditions
Define and manipulate programs, Programming Loops, Programming (Ado-files)
Model building
Understanding reproducibility
Mental Health Data Management & Quality Control
Course Instructor(s)
Daniel Maina & David
Course objective(s)
The course intends to familiarize with Stata. The participants will be introduced to Stata’s data handling methods, general introduction to graphics, descriptive statistics, and regression analysis and missing data analysis. We give an emphasis on data problems encountered in applied work based on experiences of participants. At the end of each session, the participants will be given assignments that involve the use of Stata and solutions to the assignments will be discussed in class. Up on completing the course, participants will have covered the following through a combination of presentation and practical sessions:
Course Content(s)
Introducing the STATA Environment
Working with commands, do-files, and results
Data management and manipulation
Preparing and transforming your data,
Data Visualization: Principle of data visualization, Graphics and Tables
Descriptive Statistics, Exploratory data analysis
Univariate analysis, Handling Outliers
Introduction to Programming using Stata: Macros, loops and conditions
Define and manipulate programs, Programming Loops, Programming (Ado-files)
Model building
Understanding reproducibility
Mental Health Data Management & Quality Control
Working with commands, do-files, and results
Data management and manipulation
Preparing and transforming your data,
Data Visualization: Principle of data visualization, Graphics and Tables
Descriptive Statistics, Exploratory data analysis
Univariate analysis, Handling Outliers
Introduction to Programming using Stata: Macros, loops and conditions
Define and manipulate programs, Programming Loops, Programming (Ado-files)
Model building
Understanding reproducibility
Mental Health Data Management & Quality Control
Course Instructor(s)
Daniel Maina & David