Python for Data Science – YouTube Playlist

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About Course

Python, as a popular programming language, is ruling the world of artificial intelligence. Mr. Raghavendra, an AI, ML, and Data Engineering expert, introduces the learners to Python programming and its various data structures in this TimesPro Playlist. He also covers popular Python libraries such as NumPy and Pandas, as well as Polar, an alternative to Panda’s library. Learners can dive into the world of Python and learn about Python development, tips and tricks, walkthroughs, and best practices through this free series.

What Will You Learn?

  • Python programming and its various data structures
  • Python libraries
  • Various operations performed on basic types
  • Python constructs that are used to specify condition for decision making
  • User-defined functions in python
  • How to develop user-defined functions
  • Scope of variables
  • How to develop functions with default arguments

Course Content

Python Learning

Overview of Python for Data Science

Python Variables Tutorial: Create, Modify, and Operate

Conditions & Conditional Construct in Python

Programming Fundamentals: Iterative Construct in Python

Data Structures & Algorithms in Python

Python List and List Functions

Learn the different List Methods in Python

List Iterations and List Comprehension

List Iterations and List Comprehension

Understanding and Developing user-defined functions

Lambda expressions and its uses

Working with Sets, Tuples

Working with dictionaries

File Handling

Exception Handling

Introduction to numPy

numPy array operations – 1

NumPy array operations – 2

Introduction to Pandas and Pandas Series

Creating Pandas Dataframes and performing basic operations

Subsetting a dataframe

Selecting, filtering, sorting data

Grouping data and pivoting data

Merging data – 1

Merging data – 2

Pandas data frame operations – terror Case Study

Polars