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 (8)
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
team work
Nhluvuko Mayimele - Interfront SOC Ltd
Course - Stata: Beginner to Advanced
Well thought out and high grade planning materials.
Andrew - Office of Projects Victoria - Department of Treasury & Finance
Course - Forecasting with R
Wasn't boring, the trainer could keep the attention, the topics were covered in depth.
Marta - Ministerstwo Zdrowia
Course - Advanced R Programming
Very tailored to needs.
Yashan Wang
Course - Data Mining with R
The subject matter and the pace were perfect.
Tim - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Course - Programming with Big Data in R
At the end of the class, we had a great overview of the language, we were provided tools to continue learning and were provided suggestions on how to continue learning. We covered AI/ML information.
Victor Prado - Global Knowledge Network Training Ltd
Course - R
That Haytham started with the basics and gave us enough time to do the examples and ensure that we were at the same page before we moved on to the next topic.