Learn Python Numpy & Pandas Online

Course outline

Numpy:-

-NumPy Arrays

-NumPy Indexing and Selection

-NumPy Operations

Pandas:-

-Labeled Index in Pandas Series

-DataFrames

-Conditional Filtering

-Useful Methods

-Missing Data

-GroupBy Operations

-Pandas Input and Output

-Pandas Pivot Tables

Prerequisite knowledge

Basic Python programming knowledge-variables, data types, conditional statements, etc.

Learning outcomes

This practical session enables the learners to understand how to leverage the python libraries - NumPy for numerical processing & Pandas for data manipulation.

Software / Hardware requirements

Anaconda Distribution

Install the ‘64-bit Graphical installer’

Python

(For both Windows & macOS)

Sugggested link: https://www.anaconda.com/products/individual

Python for Data Visualization - Matplotlib & Seaborn

3 hours session

Python Fundamentals

3 hours session

Advanced Python Programming - Magic Functions & Threads

3 hours session

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