Master Data Analysis & Visualization with Python: Matplotlib & Pandas Tutorial πŸ“Š

Learn how to analyze and visualize data effectively using Python, Matplotlib, and Pandas in this comprehensive beginner-friendly tutorial. Perfect for aspiring data scientists!

Master Data Analysis & Visualization with Python: Matplotlib & Pandas Tutorial πŸ“Š
CS Dojo
1.5M views β€’ Jun 11, 2018
Master Data Analysis & Visualization with Python: Matplotlib & Pandas Tutorial πŸ“Š

About this video

Python data analysis / data science tutorial. Let’s go!

For more videos like this, I’d recommend my course here: https://www.csdojo.io/moredata
Sample data and sample code: https://www.csdojo.io/data

My explanation about Jupyter Notebook and Anaconda: https://bit.ly/2JAtjF8

Also, keep in touch on Twitter: https://twitter.com/ykdojo
And Facebook: https://www.facebook.com/entercsdojo

Outline - check the comment section for a clickable version:
0:37: Why data visualization?
1:05: Why Python?
1:39: Why Matplotlib?
2:23: Installing Jupyter through Anaconda
3:20: Launching Jupyter

3:41: DEMO begins: create a folder and download data
4:27: Create a new Jupyter Notebook file
5:09: Importing libraries
6:04: Simple examples of how to use Matplotlib / Pyplot
7:21: Plotting multiple lines
8:46: Importing data from a CSV file
10:46: Plotting data you’ve imported
13:19: Using a third argument in the plot() function

13:42: A real analysis with a real data set - loading data
14:49: Isolating the data for the U.S. and China
16:29: Plotting US and China’s population growth
18:22: Comparing relative growths instead of the absolute amount
21:21: About how to get more videos like this - it’s at https://www.csdojo.io/moredata

Video Information

Views

1.5M

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Duration

22:01

Published

Jun 11, 2018

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