README.md

November 16, 2022 · View on GitHub

Pandas Solved Exercise

I'm sharing my Kaggle Pandas Course - Exercise Notebook which I have solved while undertaking this course in my journey of Data Science.

For more detials, refer: Data Analyst Roadmap :hourglass:, Python Lessons 📑 & Python Libraries for Data Science 🗂️

Overview of Pandas - Python Library

The Pandas Library is arguably the most important library in the Python Data Science stack. It is the library of choice for working with small to medium sized data (anything that isn't quote-unqutoe "big data"). Much to most of the data manipulation that's done in the Python world is done using Pandas memory structures and tools, making it one of the most important libraries in the ecosystem.

Certifications 📜 🎓 ✔️

Data Analysis with Python - by IBM
Data Visualization with Python - by IBM
Numpy & Matplotlib - by Great Learning
Databases and SQL for Data Science with Python - by IBM
Statistics for Data Science with Python - by IBM

Pandas - Python Library for Data Science by Kaggle

Prerequisite: Python Lessons 📑

Sr.No. 🔢	Lessons 📕	Reference Links :link:	Exercises 👨‍💻
1	Basics, Data Structures - Series, DataFrame, Panel	Pandas Course - by Kaggle	Exercise 1
2	Summary Functions and Maps, Operations - Slicing, Merging	Kaggle Notebooks on Pandas	Exercise 2
3	Operations - Joining, Concatenation	GitHub Repo on Pandas	Exercise 3
4	Changing Index & Column Header, Data Munging	JavaTpoint	Exercise 4
5	Grouping & Sorting, Data Types & Missing Values	YouTube	Exercise 5
6	Renaming and Combining	TutorialsPoint	Exercise 6
7	Pandas-Matplotlib	:white_check_mark:

Projects in Python 👨‍💻

Sr.No. 🔢	Projects 👨‍💻	Reference Links :link:
Python Project 1	Spotify Data Analysis using Python	GitHub Project & Kaggle Notebook
Python Project 2	Boston Housing Data Analysis using Python	Project