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Get started with data science using Python! This course covers essential tools like Pandas and NumPy, plus data visualization, cleaning, and machine learning techniques. Perfect for beginners, you’ll gain the skills to analyze and interpret data effectively.
YouTube Channel: https://www.youtube.com/@ThePyCoach
Source Code & Datasets: https://github.com/thepycoach/python-for-data-science
Python for Data Science Cheat Sheet (Free PDF): https://artificialcorner.com/p/redeem-my-udemy-courses-for-free
Course in Spanish: https://youtu.be/Rgag-Clu5L4
Try interactive Python courses we love, right in your browser: https://scrimba.com/freeCodeCamp-Python (Made possible by a grant from our friends at Scrimba)
Contents
(0:00:00) Installation and Setup
(0:27:23) Python Basics
(1:41:41) Introduction to Pandas and Numpy
(3:26:15) Project #1 – Web Scraping with Pandas
(4:05:36) Filtering Data
(5:34:46) Data Extraction
(7:31:57) Reshaping and Pivoting Dataframes
(7:50:59) Project #2: Making Data Visualizations
(8:56:39) GroupBy and Aggregate Function
(10:07:41) Merging and Concatenating Dataframes
(11:49:12) Regular Expressions
(12:45:45) Project #3: Data Cleaning with Pandas
(14:17:45) Machine Learning with Python
(14:43:45) Project #4: Text Classification with scikit-learn
Thanks to our Champion and Sponsor supporters:
Drake Milly
Ulises Moralez
Goddard Tan
David MG
Matthew Springman
Claudio
Oscar R.
jedi-or-sith
Nattira Maneerat
Justin Hual
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