Statistical Analysis with Stata and R Training Course
Stata is a versatile software package developed using the C programming language. R, on the other hand, is both a programming language and an environment designed for statistical computing. Together, Stata and R enable users to analyze large datasets across various fields, including economics, sociology, and biomedicine.
This instructor-led, live training (available online or onsite) is tailored for data analysts who aim to leverage Stata and R for conducting comprehensive big data analysis and statistical studies.
By the end of this training, participants will be able to:
- Develop statistical models to predict significant variables and events.
- Produce descriptive visualizations, summary tables, frequency distributions, and more.
- Organize and manage large databases to prepare for data analysis.
Format of the Course
- Interactive lectures and discussions.
- Numerous exercises and practical activities.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- For customized training sessions, please contact us to arrange.
Course Outline
Introduction
Stata and Big Data
- What is Stata?
- Stata syntax and commands
R Programming
- What is R?
- R syntax and structure
Preparing the Development Environment
- Installing and configuring Stata
- Installing and configuring R libraries and frameworks
R and Stata
- Reading and writing to Stata with R
Databases and Data in Stata
- Opening and clearing databases
- Compressing databases
- Importing and exporting databases
- Viewing, describing, and summarizing raw data
- Using tabulations and tables
- Implementing variables for data manipulation
Descriptive Analysis and Predictive Analysis
- Working with distributional analysis
- Working with Monte Carlo simulations
- Working with count data analysis
- Working with survival analysis
Hypothesis Testing
- Testing and comparing means
Graphing in Stata
- Using plots, charts, and graphs
- Working with statistical analysis in graphing
- Styling and combining graphs
Regression Models with R
- Using bivariate correlation and regression
- Working with OLS regression, logits, and probits
- Using interactive effects in regression models
Summary and Conclusion
Requirements
- An understanding of data analysis
Audience
- Data Analysts
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Course - Statistical Analysis with Stata and R
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