Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
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 data to Stata using R.
Databases and Data in Stata
- Opening and clearing databases.
- Compressing databases.
- Importing and exporting databases.
- Viewing, describing, and summarizing raw data.
- Utilizing tabulations and tables.
- Implementing variables for data manipulation.
Descriptive 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
- A foundational understanding of data analysis.
Audience
- Data Analysts.
35 Hours
Testimonials (1)
a multitude of points
