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Course10610621240 lectures

Python for Data Science

Prof. Ragunathan Rengasamy · IIT Madras

Start with lecture 1 At NPTEL

About

The course aims at equipping participants to be able to use python programming for solving data science problems.

INTENDED AUDIENCE : Final Year Undergraduates

PRE-REQUISITES : Knowledge of basic data science algorithms

Lectures

Week 1

  1. Introduction to Python for Data Science YouTube
  2. Introduction to Python YouTube
  3. Introduction to Spyder - Part 1 YouTube
  4. Introduction to Spyder - Part 2 YouTube
  5. Variables and Datatypes YouTube
  6. Operators YouTube

Week 2

  1. Jupyter setup YouTube
  2. Sequence_data_part_1 YouTube
  3. Sequence_data_part_2 YouTube
  4. Sequence_data_part_3 YouTube
  5. Sequence_data_part_4 YouTube
  6. Numpy YouTube

Week 3

  1. Reading data YouTube
  2. Pandas Dataframes I YouTube
  3. Pandas Dataframes II YouTube
  4. Pandas Dataframes III YouTube
  5. Control structures & Functions YouTube
  6. Exploratory data analysis YouTube
  7. Data Visualization-Part I YouTube
  8. Data Visualization-Part II YouTube
  9. Dealing with missing data YouTube

Week 4

  1. Introduction to Classification Case Study YouTube
  2. Case Study on Classification Part I YouTube
  3. Case Study on Classification Part II YouTube
  4. Introduction to Regression Case Study YouTube
  5. Case Study on Regression Part I YouTube
  6. Case Study on Regression Part II YouTube
  7. Case Study on Regression Part III YouTube
  8. Module : Predictive Modelling YouTube
  9. Linear Regression YouTube
  10. Model Assessment YouTube
  11. Diagnostics to Improve Linear Model Fit YouTube
  12. Cross Validation YouTube
  13. Classification YouTube
  14. Logistic Regression YouTube
  15. K - Nearest Neighbors (kNN) YouTube
  16. K - means Clustering YouTube
  17. Logistic Regression ( Continued ) YouTube
  18. Decision Trees YouTube
  19. Multiple Linear Regression YouTube

Syllabus and materials

At NPTEL, as the course publishes them.

Credits and licence

Institution
IIT Madras
Department
Computer Science and Engineering
Teacher
Prof. Ragunathan Rengasamy
Level
Undergraduate
Language
English
Subjects
Computer science, Engineering
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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