Course Outline
Introduction to Stata
- An overview of Stata and its various applications.
- Comparative analysis of Stata with SPSS and R.
- Exploration of Stata syntax, core commands, and workflow structures.
Environment Configuration
- Installation and setup of Stata.
- Review of RStudio and essential R libraries for integration.
Data Management in Stata
- Procedures for importing and exporting data.
- Techniques for data cleaning and transformation.
- Strategies for efficiently managing large datasets.
Statistical Analysis with Stata
- Generating descriptive statistics and summary tables.
- Working with probability distributions and hypothesis testing.
- Conducting regression analysis, including linear, logistic, and multivariate models.
Graphing and Visualization in Stata
- Creation of charts, plots, and graphs.
- Customizing visualizations for professional reports.
Integration of Stata and R
- Transferring data between Stata and R.
- Invoking Stata commands directly from R.
- Automating statistical workflows across both platforms.
Advanced Topics
- Implementation of macros and loops in Stata.
- Application of Stata for predictive modeling.
- Advanced programming in Stata using do-files and ado-files.
Case Studies and Practical Applications
- Real-world applications in research and data science.
- Integrating Stata with R in academic and industrial projects.
Conclusion and Future Directions
Requirements
- Practical experience conducting statistical analysis using SPSS
- Strong proficiency in R programming
Target Audience
- Computer science professionals
- Data scientists and researchers engaged with statistical models
- Analysts aiming to integrate Stata with R
Testimonials (4)
Refactoring Exercise and Graph Visualization
Tiago Kocevar - Lang Energie AG / Osterwalder Zurich AG
Course - Business Intelligence and Data Analysis with Metabase
Machine Translated
Deepthi was super attuned to my needs, she could tell when to add layers of complexity and when to hold back and take a more structured approach. Deepthi truly worked at my pace and ensured I was able to use the new functions /tools myself by first showing then letting me recreate the items myself which really helped embed the training. I could not be happier with the results of this training and with the level of expertise of Deepthi!
Deepthi - Invest Northern Ireland
Course - IBM Cognos Analytics
he was well prepared - and he is very sympathetic
Oliver - Post CH AG
Course - Splunk Fundamentals
lots of pratical exercises
