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
Testimonials (5)
Many examples and exercises related to the topic of the training.
Tomasz - Ministerstwo Zdrowia
Course - Advanced R Programming
Data management, reporting and statistics concepts.
Dumisani - Interfront SOC Ltd
Course - Stata: Beginner to Advanced
Day 1 and Day 2 were really straight forward for me and really enjoyed that experience.
Mareca Sithole - Africa Health Research Institute
Course - R Fundamentals
The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.
Rhian Hughes - Public Health Wales NHS Trust
Course - Introduction to Data Visualization with Tidyverse and R
I really enjoyed the knowledge of the trainer.