Plays in YouTube's player, loaded from youtube-nocookie.com when you press Play. Watch on YouTube

Learn · Advanced R Programming for Data Analytics in Business

Lecture 43 of 45Week 11

Lesson 43: Tutorial - HR Analytics- Part 2

Prof. Abhinava Tripathi · IIT Kanpur

Credits and licence

From
Advanced R Programming for Data Analytics in Business, IIT Kanpur (at NPTEL)
Licence
CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
Attribution
NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
Who can watch
Tweens profiles and older. How courses are placed

All the lectures

  1. Lesson 1: Fundamentals of R YouTube
  2. Lesson 2: Data cleaning YouTube
  3. Lesson 3: Data Visualization- Part 1 YouTube
  4. Lesson 4: Data Visualization- Part 2 YouTube
  5. Lesson 5: Introduction to Probability Theory YouTube
  6. Lesson 6: Conditional Probabilities and Bayes Theorem YouTube
  7. Lesson 7: Random Variables and Probability Distributions YouTube
  8. Lesson 8: Binomial Distribution YouTube
  9. Lesson 9: Continuous Random Variables and Normal Distribution YouTube
  10. Lesson 10: Descriptive Analytics: Measures of Central Tendency YouTube
  11. Lesson 11: Descriptive Analytics: Measures of Variability and Shape YouTube
  12. Lesson 12: Statistical Inference: Sampling YouTube
  13. Lesson 13: Statistical Inference: Central Limit Theorem and Confidence Intervals YouTube
  14. Lesson 14: Statistical Inference: Hypothesis testing YouTube
  15. Lesson 15: Introduction to R YouTube
  16. Lesson 16: Inferential statistics: R Implementation YouTube
  17. Lesson 17: Statistical Inference: Sampling YouTube
  18. Lesson 18: Hypothesis Testing: R Implementation YouTube
  19. Lesson 19: Regression Modelling-Part 1 YouTube
  20. Lesson 20: Regression Modelling-Part 2 YouTube
  21. Lesson 21: Regression Algorithm: Application (Part 1) YouTube
  22. Lesson 22: Regression Algorithm: Application (Part 2) YouTube
  23. Lesson 23: Classification Algorithms: Logit/Probit Regression (Part 1) YouTube
  24. Lesson 24: Classification Algorithms: Logit/Probit Regression (Part 2) YouTube
  25. Lesson 25: Classification Algorithms: Application (Part 1) YouTube
  26. Lesson 26: Classification Algorithms: Application (Part 2) YouTube
  27. Lesson 27: Advanced Data Visualization- Part 1 YouTube
  28. Lesson 28: Advanced Data Visualization- Part 2 YouTube
  29. Lesson 29: Introduction to Panel Data Modelling YouTube
  30. Lesson 30: Panel data application and implementation with R YouTube
  31. Lesson 31: Advanced Time-Series Models YouTube
  32. Lesson 32: Introduction to ARMA process YouTube
  33. Lesson 33: Forecasting with ARMA models YouTube
  34. Lesson 34: Non-stationarity, Cointegration, and Error correction Models YouTube
  35. Lesson 35: Return and Volatility Modelling and Forecasting YouTube
  36. Lesson 36: Maximum Likelihood Estimation (MLE) YouTube
  37. Lesson 37: Quantile Regression - Part A YouTube
  38. Lesson 38: Quantile Regression - Part B YouTube
  39. Lesson 39: Solar Panel Marketing Case Study YouTube
  40. Lesson 40: PCA and Clustering- Part 1 YouTube
  41. Lesson 41: PCA and clustering- Part 2 YouTube
  42. Lesson 42: Tutorial- HR Analytics Part 1 YouTube
  43. Lesson 43: Tutorial - HR Analytics- Part 2 YouTube
  44. Lesson 44: Application of Logistic Regression -Part 1 YouTube
  45. Lesson 45: Application of logistic regression- Part 2 YouTube