Access the Course Contents and Syllabus for the DSc course here. Find daily lecture notes prepared as PDFs listed below.

• • Tentative Course Structure

  • Lecture Notes:

    • Introduction to Data Science and Data-Centric Thinking

    • Data Acquisition and Data Understanding

    • Data Cleaning and Pre-Processing

    • Exploratory Data Analysis-I

    • Exploratory Data Analysis-II (Chapter 3)

    • Statistics for Data Science

    • Unsupervised Learning (Clustering) (Chapters-10, 11)

Access the Course Contents and Syllabus for the PP course here. Find lecture slides and/or notes as PDFs listed below. All contents belong to their respective owners.

• Tentative Course Structure

• Lecture Notes:

  • Expressions and Data

  • Operator Expressions and Data Types

  • Control Structures

  • Functions

  • Strings

  • Lists

  • Tuples and Sets

  • Dictionary

  • Recursion

  • CSV Reader

  • File System

• Reading References:

  • Think Python, Allen B. Downey

  • P4YE, Charles Severance

• Tutorials:

  • Functions and Arguments: Source 1, source 2

  • Closures and Decorators

  • Docstrings

  • main() guard line 

Access the Course Contents and Syllabus for the elective course here. Find daily lecture slides and/or notes as PDFs listed below. All contents belong to their respective owners.

• Tentative Course Structure

• Lecture Notes:

  • Python basics

  • Data and Expressions: Literals, Variables, Identifiers

  • Operators Expressions and Data Types

  • Tuples, lists etc.

  • String manipulation

  • Branching, iteration

• Reading References:

  • Think Python, Allen B. Downey

  • P4YE, Charles Severance