Bachelor of Statistical Data Science (BSDS)

Indian Statistical Institute

Data Analysis with R and Python

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Course information

• Instructor: Deepayan Sarkar <deepayan@isid.ac.in>
• TA (Bangalore): Suparna Biswas <suparnabsws4@gmail.com>
• TA (Delhi): Sourav Panja <souravpanja07@gmail.com>
• TA (Kolkata): Annesha Ghosh <anneshaghosh659@gmail.com>
• Grading scheme:
• Class Tests: 10%
• Assignments: 20%
• Mid-semestral Exam: 20%
• Semestral Exam: 50%

Please use this Discussion forum on GitHub to ask questions or initiate other discussions (keeping in mind that this is a public forum). If you wish to talk to me individually, please email me to schedule an online meeting.

Slides

• Introduction

• Basics of R

• Lists and Data Frames

• Functions, Attributes, and Class

• Lazy Evaluation

• Introduction to Data Visualization

• Using ggplot2

• Data Visualization — Summary and Further Topics

R scripts / demos

• Wilson's approximate confidence interval for proportion

• Comparison of graphics systems in R

• Basic statistical modeling in R

• Data Manipulation in R

Datasets

• measles.csv (CSV file, containing rate of measles in the USA per 100,000 people by year and state)

• gapminder.tsv (TAB-separated file, containing life expectancy, population, and per capita GDP for various countries and years)

Practice Assignments

• Gapminder analysis

• Sample questions