# Introduction to Data Analytics(Course sponsored by Aricent)

- Institution: IIT Madras
- Department: Management
- Taught by: Prof. Nandan Sudarsanam, Dr. Balaraman Ravindran
- Level: Undergraduate
- Language: English
- Subjects: Business and management
- Source: [NPTEL](https://nptel.ac.in/courses/110106064)
- Licence: [CC BY-NC-SA](https://nptel.ac.in/faq) (Non-commercial use only.)
- Syllabus: [at the source](https://nptel.ac.in/courses/110106064)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

## Lectures

1. [Course Overview](https://invisiblenetwork.ai/learn/nptel/110106064/18bc22d56df3) (Video)
2. [Course Overview (cont'd)](https://invisiblenetwork.ai/learn/nptel/110106064/6ebc099b206d) (Video)
3. [Descriptive Statistics - Graphical Approaches](https://invisiblenetwork.ai/learn/nptel/110106064/f558da59bd62) (Video)
4. [Descriptive Statistics - Measures of Central Tendency](https://invisiblenetwork.ai/learn/nptel/110106064/c00cb3ae7220) (Video)
5. [Descriptive Statistics - Measures of Dispersion](https://invisiblenetwork.ai/learn/nptel/110106064/ccb1785cb975) (Video)
6. [Random Variables and Probability Distributions](https://invisiblenetwork.ai/learn/nptel/110106064/cb7b2e970ce5) (Video)
7. [Probability Distributions(contd)](https://invisiblenetwork.ai/learn/nptel/110106064/2b2f864757a0) (Video)
8. [Probability Distributions(contd)](https://invisiblenetwork.ai/learn/nptel/110106064/4118e176b4f4) (Video)
9. [Inferential Statistics - Motivation](https://invisiblenetwork.ai/learn/nptel/110106064/d43cd457b77d) (Video)
10. [Inferential Statistics - Single sample tests](https://invisiblenetwork.ai/learn/nptel/110106064/ba47efd2a02d) (Video)
11. [Two Sample tests](https://invisiblenetwork.ai/learn/nptel/110106064/bdea48966c38) (Video)
12. [Type 1 and Type 2 Errors](https://invisiblenetwork.ai/learn/nptel/110106064/cc3b76c9e18c) (Video)
13. [Confidence Intervals](https://invisiblenetwork.ai/learn/nptel/110106064/5b4f27ccde50) (Video)
14. [ANOVA and Test of Independence](https://invisiblenetwork.ai/learn/nptel/110106064/dbf486372494) (Video)
15. [Short Introduction to Regression](https://invisiblenetwork.ai/learn/nptel/110106064/6f8e05e564a9) (Video)
16. [Introduction to Machine Learning](https://invisiblenetwork.ai/learn/nptel/110106064/65d89139b34e) (Video)
17. [Supervised Learning](https://invisiblenetwork.ai/learn/nptel/110106064/f5165a4685ab) (Video)
18. [Unsupervised Learning](https://invisiblenetwork.ai/learn/nptel/110106064/2c566a1a32c8) (Video)
19. [Ordinary Least Squares Regression](https://invisiblenetwork.ai/learn/nptel/110106064/46a5ac8f3316) (Video)
20. [Simple and Multiple Regression in Excel and Matlab](https://invisiblenetwork.ai/learn/nptel/110106064/91de26a1f0de) (Video)
21. [Regularization/ Coefficients Shrinkage](https://invisiblenetwork.ai/learn/nptel/110106064/cdc2cc5be62a) (Video)
22. [Data Modelling and Algorithmic Modelling Approaches](https://invisiblenetwork.ai/learn/nptel/110106064/a4292a20710c) (Video)
23. [Logistic Regression](https://invisiblenetwork.ai/learn/nptel/110106064/e20c36facafb) (Video)
24. [Training a Logistic Regression Classifier](https://invisiblenetwork.ai/learn/nptel/110106064/e3fb10e5a5cb) (Video)
25. [Classification and Regression Trees](https://invisiblenetwork.ai/learn/nptel/110106064/c84dcb9e9096) (Video)
26. [Classification and Regression Trees(contd)](https://invisiblenetwork.ai/learn/nptel/110106064/e7cb74fd8bf7) (Video)
27. [Bias Variance Dichotomy](https://invisiblenetwork.ai/learn/nptel/110106064/cd46e3be2044) (Video)
28. [Model Assessment and Selection](https://invisiblenetwork.ai/learn/nptel/110106064/edcf348ec285) (Video)
29. [Support Vector Machines](https://invisiblenetwork.ai/learn/nptel/110106064/85341584ec86) (Video)
30. [Support Vector Machines(contd)](https://invisiblenetwork.ai/learn/nptel/110106064/0a682f8e8b1e) (Video)
31. [Support Vector Machines for Non Linearly Separable Data](https://invisiblenetwork.ai/learn/nptel/110106064/47561fcd14aa) (Video)
32. [Support Vector Machines and Kernel Transformations](https://invisiblenetwork.ai/learn/nptel/110106064/bd96e8a3ed04) (Video)
33. [Ensemble Methods and Random Forests](https://invisiblenetwork.ai/learn/nptel/110106064/b096506443c2) (Video)
34. [Artificial Neural Networks](https://invisiblenetwork.ai/learn/nptel/110106064/a7e25d9b83d8) (Video)
35. [Artificial Neural Networks(cont\'d)](https://invisiblenetwork.ai/learn/nptel/110106064/d12bd4f47d58) (Video)
36. [Deep Learning](https://invisiblenetwork.ai/learn/nptel/110106064/f20b375d1ddc) (Video)
37. [Associative Rule Mining](https://invisiblenetwork.ai/learn/nptel/110106064/e7ab326f2ca7) (Video)
38. [Association Rule Mining (contd)](https://invisiblenetwork.ai/learn/nptel/110106064/8c2eeb2c4772) (Video)
39. [Big Data, A small introduction](https://invisiblenetwork.ai/learn/nptel/110106064/838c944c6d84) (Video)
40. [Big Data - A small introduction (contd)](https://invisiblenetwork.ai/learn/nptel/110106064/f14aaf653596) (Video)
41. [Clustering Analysis](https://invisiblenetwork.ai/learn/nptel/110106064/c5488f609a0c) (Video)
42. [Clustering Analysis (contd)](https://invisiblenetwork.ai/learn/nptel/110106064/963fe3b5a82b) (Video)
43. [Introduction to Experimentation and Active Learning](https://invisiblenetwork.ai/learn/nptel/110106064/afbb9215d936) (Video)
44. [Introduction to Experimentation and Active Learning(contd)](https://invisiblenetwork.ai/learn/nptel/110106064/a87f9ab07452) (Video)
45. [An Introduction to Online Learning - Reinforcement Learning](https://invisiblenetwork.ai/learn/nptel/110106064/19fe2528fd99) (Video)
46. [An Introduction to Online Learning - Reinforcement Learning (contd)](https://invisiblenetwork.ai/learn/nptel/110106064/eb26ce53eb91) (Video)
47. [Summary+ Insights into the Final Exam](https://invisiblenetwork.ai/learn/nptel/110106064/c822ecf8d43e) (Video)