Introduction

Numerical Computation with NumPy

• Five NumPy operation, we bet you don't know! (NumPy Assignment)

Analyzing Tabular Data with Pandas

• Covid-19 World-wide Analysis (Pandas Assignment)

Visualization with Matplotlib and Seaborn

• A Comprehensive Whatsapp Chat Data Analysis (A Real-time Case Study)

Resources

• This is a Data Analysis With Python practical, beginner-friendly and coding-focused introduction to data analysis covering the basics of Python, Numpy, Pandas, data visualization and exploratory data analysis.

• This is a part of Jovian.ml course, in association with freeCodeCamp.

• Here is the complete Youtube Playlist for Data Analysis With Python.

• All my learnings and notebooks can be viewed on My Jovian.ml Profile

  • Jovian.ml is like Github for Jupyter Notebooks. It is very helpful.

  

  • Running using free online resources. The easiest way to start executing this notebook is to click the "Run" button at the top of this page, and select "Run on Binder". This will run the notebook on mybinder.org, a free online service for running Jupyter notebooks. You can also select "Run on Colab" or "Run on Kaggle", but you'll need to create an account on Google Colab or Kaggle to use these platforms.

  • Whether you're running this Jupyter notebook on an online service like Binder or on your local machine, it's important to save your work from time, so that you can access it later, or share it online. You can upload this notebook to your Jovian.ml account using the jovian Python library.

First, you need to install the Jovian python library, if it isn't already installed, and then import it.

!pip install jovian --upgrade --quiet
import jovian

Going through the basics of NumPy.

• Numerical Computing with Numpy - Notebook on GitHub

If the notebook doesn't load, on Github, view it on Jovian.

• Numerical Computing with Numpy - Notebook on Jovian

• Youtube Video

This was a part of the assignment for NumPy Operations.

• Numpy Operations - Notebook on GitHub

• Numpy Operations - Notebook on Jovian

It is not possible to know all functions of this huge library, the best way is to get an idea, is to look at the problem and solve it.

• Original Repository - With Questions, Hints and Answers

• My solutions to the exercises - GitHub

• My solutions to the exercises - Jovian

Going through the basics of Pandas, via a small Case Study - Italy Covid Data Analysis.

• Data Analysis with Pandas - Notebook on GitHub

If the notebook doesn't load, on Github, view it on Jovian.

• Data Analysis with Pandas - Notebook on Jovian

• Youtube Video

This was a part of the assignment for Pandas Analysis - Pre-processing, asking questions and answering them after analysing the Datasets.

• Covid 19 Data Analysis - Notebook on GitHub

• Covid 19 Data Analysis - Notebook on Jovian

Once done with pre-processing and analysing Datasets, it's time to visualize them! Visualizing data is an essential part of data analysis and machine learning.

• Data Visualization using Matplotlib and Seaborn - GitHub

If the notebook doesn't load, on Github, view it on Jovian.

• Data Visualization using Matplotlib and Seaborn - Jovian

• Youtube Video

• Have a look at a detailed Medium Article for this project!

• The complete project can be viewed on the repository - whatsapp-chat-analysis.

• If the notebook doesn't load, the complete notebook can be viewed on Whatsapp Chat Analysis website, the notebook as been embedded in a index.html file, so that the complete analysis could be viewed easily.

• Data Analysis with Pandas Cheat Sheet
• Pandas in 8 Pages
• Data Visualization Complete Cheatsheet

• Exploring more datasets! It is never-ending, there can be Infinite Stories with Data!
  • awesome-public-datasets
  • Thread of Intreseting Datasets
• Once, done with enough Data Analysis, try making Datasets, scraping Data from websites and creating Interesting Datasets!
• Trying hands on Machine Learning and Deep Learning.