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Introduction to Data Analytics

Prof. Nandan Sudarsanam and Prof. Balaraman Ravindran · IIT Madras

Start with lecture 1 At NPTEL

Lectures

Week 1 - Course Overview and Descriptive Statistics

  1. Course Overview Video
  2. Course Overview (cont\'d) Video
  3. Descriptive Statistics - Graphical Approaches Video
  4. Descriptive Statistics - Measures of Central Tendency Video
  5. Descriptive Statistics - Measures of Dispersion Video

Week 2 - Probability Distributions & Inferential Statistics

  1. Random Variables and Probability Distributions Video
  2. Probability Distributions(cont\'d) Video
  3. Probability Distributions(cont\'d) Video
  4. Inferential Statistics - Motivation Video
  5. Inferential Statistics - Single sample tests Video

Week 3 - Inferential Statistics

  1. Two Sample tests Video
  2. Type 1 and Type 2 Errors Video
  3. Confidence Intervals Video
  4. ANOVA and Test of Independence Video
  5. Short Introduction to Regression Video

Week 4 - Machine Learning

  1. Introduction to Machine Learning Video
  2. Supervised Learning Video
  3. Unsupervised Learning Video
  4. Ordinary Least Squares Regression Video
  5. Simple and Multiple Regression in Excel and Matlab Video
  6. Regularization/ Coefficients Shrinkage Video
  7. Data Modelling and Algorithmic Modelling Approaches Video
  8. Tutorial on Weka Video

Week 5 - Supervised Learning (Regression and Classification Techniques) - I

  1. Logistic Regression Video
  2. Training a Logistic Regression Classifier Video
  3. Classification and Regression Trees Video
  4. Classification and Regression Trees(cont\'d) Video
  5. Bias Variance Dichotomy Video
  6. Model Assessment and Selection Video
  7. Support Vector Machines Video
  8. Support Vector Machines(cont\'d) Video
  9. Support Vector Machines for Non Linearly Separable Data Video
  10. Support Vector Machines and Kernel Transformations Video
  11. Tutorial on Decision Trees Video

Week 6 : Supervised Learning( Regression and Classification Techniques)-II

  1. Ensemble Methods and Random Forests Video
  2. Artificial Neural Networks Video
  3. Artificial Neural Networks(cont\'d) Video
  4. Deep Learning Video

Week 7 - Association Rule Mining and Big Data

  1. Associative Rule Mining Video
  2. Association Rule Mining (cont\'d) Video
  3. Big Data, A small introduction Video
  4. Big Data - A small introduction (cont\'d) Video

Week 8 - Clustering Analysis and Predictive Analytics

  1. Clustering Analysis Video
  2. Clustering Analysis (cont\'d) Video
  3. Introduction to Experimentation and Active Learning Video
  4. Introduction to Experimentation and Active Learning(cont\'d) Video
  5. An Introduction to Online Learning - Reinforcement Learning Video
  6. An Introduction to Online Learning - Reinforcement Learning (cont\'d) Video

Week 9 - Course Summary Insight into the Final Exam

  1. Summary+ Insights into the Final Exam Video

Syllabus and materials

At NPTEL, as the course publishes them.

Credits and licence

Institution
IIT Madras
Department
Management
Taught by
Prof. Nandan Sudarsanam, Prof. Balaraman Ravindran
Level
Undergraduate
Language
English
Subjects
Business and management
Source
NPTEL
Licence
CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
Attribution
NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
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