/Data-Visualization-Using-Python-Libraries

Primary LanguageJupyter Notebook

Data Visualization using Python

This is a personal repository to learn Data Visualization using Python Libraries. To use this repository you need to install Anaconda and use Jupyter Notebook

The repository is divided into 4 Modules. Each module has a seperate notebook.

Prerequisite for this course :

Python3

Modules:

  • Module 1 - Numpy Basics

    • Importing Libraries
    • Basic Numpy Arrays
    • Array Types
    • Dimension & Shapes
    • Indexing & Slicing of Matrices
    • Summary Statistics
    • Broadcasting & Vectorized Operations
    • Boolean Arrays
    • Linear Algebra
    • System Performance
    • Useful Numpy Functions
    • More Resources

  • Module 2(Part-1) - Python Pandas-Series

    • Importing Modules
    • Pandas Series
    • Indexing
    • Boolean Arrays
    • Operations & Methods
    • Modifying Series

  • Module 2(Part-2) - Python Pandas-Dataframe

    • Importing Modules
    • Creating Dataframe
    • Indexing,Selection & Slicing
    • Conditional Selection
    • Dropping Data
    • Operations
    • Modifying Dataframe
    • Creating Columns
    • Statistical Informations
    • Reading External Data

  • Module 3 - Matplotlib

    • Importing Modules
    • Basic Matplotlib Functions
    • More Plotting Tools
    • Plotting from a Dataset
    • More Resources

  • Module 4 - Seaborn

    • Importing Modules
    • Importing Dataset
    • Seaborn vs Matplotlib
    • Basic Seaborn Functions
    • More Resources

Disclaimer:All the contents of this repository is not entirely created by me, some codes are a compilation of multiple courses that I have done online.

References:

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