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
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
It was very informative and professionally held. Wojteks knowledge level was so advanced that he could basically answer any question and he was willing to put effort into fitting the training to my personal needs.
Sonja Steiner - BearingPoint GmbH
Course - R Programming for Data Analysis
I really enjoyed the knowledge of the trainer.