Programming for Scientific Research with Python and R
Learn both languages from scratch - data wrangling, statistics, visualisation, AI and three research case studies
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Programming for Scientific Research with Python and R is a Teaching & Academics course on Udemy. Learn both languages from scratch - data wrangling, statistics, visualisation, AI and three research case studies The material is organised so learners can progress from the fundamentals to applying what they have learned in realistic scenarios.
Key Skills You Will Learn
- Write working code in both Python and R - variables, data types, control flow, functions and packages
- Import, clean, manipulate and export scientific datasets in both languages
- Run the statistics your research needs: descriptive stats, correlation, t-tests, ANOVA and multiple linear regression
- Produce publication-quality figures with Matplotlib and ggplot2, including animated graphs and wind rose plots
- Apply deep learning to scientific data in R, and process geospatial data in Python
- Work through three full case studies: LAI and LST, India air quality with ML, and climate data analysis
Who This Course Is For
This course suits learners who want a guided, self-paced path into Teaching & Academics, from complete beginners to practitioners looking to refresh or formalise their knowledge. Check the curriculum and requirements section on Udemy to confirm it matches your current level.
Our Take
If the topic aligns with your goals, this is a convenient way to build skills on your own schedule. Udemy courses include lifetime access to the enrolled content, so you can revisit lessons whenever you need them.
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