Python for Data Science: Live Session 1 - Basics Review

Added:

Course Intro
Python Basics
Coding Setups
Python Applications
Course Logistics
Spyder Demo
Variables, Types
Operators Guide
Logic Ops
Bitwise Ops

Course Intro

0:23
Playing Section
  • 1

    Instructor introduces the Python for Data Science course structure and live session schedule.

  • 2

    Explains the purpose of live sessions as a supplement to the video lectures for doubt clarification.

  • 3

    Directs students to the course portal's discussion forum for assignment queries and support.

Basic computer literacy, including how to set up and navigate a development environment like Jupyter Notebook or Google Colab.
Fundamental mathematical concepts, specifically basic arithmetic operations and the algebraic concept of a variable.
A conceptual understanding of what programming is and its role in data analysis and data science.
Python Control Flow, including conditional statements (if-else) and loops (for, while) to manage program execution.
Built-in Python Data Structures, such as lists, tuples, dictionaries, and sets, for handling collections of data.
Defining and using custom Functions to write reusable and modular code.
An introduction to foundational Data Science libraries, specifically NumPy for numerical computations and Pandas for data manipulation.
1.2K views35likes1:46:36@prakrithi.p7033Original Release: 2024-07-31

This live session introduces Python programming for data science, covering essential concepts including variable assignment, data types (strings, integers, floats), arithmetic operators (addition, subtraction, multiplication, division, floor division), relational operators (comparison), logical operators (and, or, not), and bitwise operations. The instructor explains that Python is widely used for data analysis and machine learning, while R is primarily used for statistical analysis and biological data. The course emphasizes practical learning through hands-on practice with data sets, and students can access recordings on YouTube and use discussion forums for doubt clarification.