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): Subhrata Sen <subhrata.sen27@gmail.com>
• TA (Delhi): Sourav Panja <souravpanja07@gmail.com>
• TA (Kolkata): Rohan Shinde <greninja4201@gmail.com>
• Grading scheme:
• Class Tests: 10%
• Projects: 20%
• Mid-semestral Exam: 20%
• Semestral Exam: 50%

Please use Google Classroom to ask questions, discuss projects, 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

• Preliminaries

• Introduction: Sample session in R

• Introduction: Sample session in Python

• Basic Usage 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

• Distribution of number of unique borthdays

• Perfect numbers in Python

• Efficient implementation of Aliquot Sums

Datasets

• social-indicators-1964.csv (CSV file, containing selected indicators from World handbook of political and social indicators (1964) by Bruce M. Russett et al

• 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)

• rkpuram-aqi.csv (CSV file, various air quality measurements in R K Puram, Delhi)