PDC4S:\IT\DATA SCIENCE AND MACHINE LEARNING\[365 Data Science] Programming for Data Science\14. Introduction to R Programming | ||
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 1. Introduction | ||
| 10. Exploratory data analysis | ||
| 11. Hypothesis Testing | ||
| 12. Linear Regression Analysis | ||
| 2. Getting started | ||
| 3. The building blocks of R | ||
| 4. Vectors and vector operations | ||
| 5. Matrices | ||
| 6. Fundamentals Of Programming With R | ||
| 7. Data frames | ||
| 8. Manipulating data | ||
| 9. Visualizing data | ||