Introduction to Data Analysis and Visualization Libraries in Python | TUTORIAL

Get started with Python Libraries for Data Analysis and Visualization!

If you want to master these libraries then check out my Udemy Course for over 10 hours of on-demand learning: https://www.udemy.com/course/python-for-data-analysis-visualization/?referralCode=6E87382532CA22AF661E

Anaconda Installation and Jupyter Notebook Overview: https://www.youtube.com/watch?v=CoesbibOV3o

Video Notebook Available for Download on Github: https://github.com/malvik01/Introduction-to-Data-Analysis-with-Python

NumPy Official Documentation: https://numpy.org/doc/stable/user/absolute_beginners.html

Pandas Official Documentation: https://pandas.pydata.org/docs/user_guide/index.html

Matplotlib Official Documentation: https://matplotlib.org/stable/tutorials/index

Seaborn Official Documentation: https://seaborn.pydata.org/tutorial.html

Plotly Express Official Documentation: https://plotly.com/python/plotly-express/
0:00 Introduction
0:43 Why Python
01:10Data Analysis Libraries Overview
02:39 Data Visualization Libraries Overview
03:42 Real World Data Exercise
04:20 Numpy Demo
06:46 Pandas Demo
16:04 Matplotlib Demo
19:40 Seaborn Demo
21:18 Plotly Express Demo

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