Statistical Analysis with Stata and R Training Course
Stata is a versatile, general-purpose software package developed in C. R serves as both a programming language and a software environment dedicated to statistical computing. By leveraging both Stata and R, users are equipped to examine extensive datasets for applications across sectors such as economics, sociology, and biomedicine.
This instructor-led, live training (available online or onsite) is designed for data analysts who aim to utilise Stata and R for the statistical analysis of big data.
Upon completion of this training, participants will be able to:
- Develop statistical models to predict key variables of interest and specific events.
- Produce descriptive visualisations, summary tables, frequency distributions, and additional outputs.
- Manage and structure extensive databases to ensure readiness for data analysis.
Course Format
- Interactive lectures and group discussions.
- Extensive exercises and practical application.
- Practical implementation within a live laboratory environment.
Course Customisation Options
- To request bespoke training for this course, please contact us to make arrangements.
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 Integration
- Reading and writing data to Stata using R.
Databases and Data in Stata
- Opening and clearing databases.
- Compressing databases.
- Importing and exporting databases.
- Viewing, describing, and summarising raw data.
- Utilising 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 within 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
- A foundational understanding of data analysis.
Audience
- Data Analysts.
Need help picking the right course?
southafrica@nobleprog.co.za or +27 (0)10 005 5793
Statistical Analysis with Stata and R Training Course - Enquiry
Testimonials (1)
a multitude of points
Joanna - Instytut Ekonomiki Rolnictwa i Gospodarki Zywnosciowej-PIB
Course - Statistical Analysis with Stata and R
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