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Python for Data Science - Course for Beginners (Learn Python, Pandas, NumPy, Matplotlib) Analytics Table

Income Estimates for Python for Data Science - Course for Beginners (Learn Python, Pandas, NumPy, Matplotlib)

Based on this YouTube video's total view count of 4.80M views and industry-standard rates, the estimated total earning is $3.36K - $9.60K through ad revenue. Historical data is not yet available to calculate daily, weekly, or monthly averages.

About Python for Data Science - Course for Beginners (Learn Python, Pandas, NumPy, Matplotlib)

Explore Python for Data Science - Course for Beginners (Learn Python, Pandas, NumPy, Matplotlib) with 4,802,075 views, 101,816 likes, and 1,811 comments. Experience the impact of this video content that has captured audience attention.

This Python data science course will take you from knowing nothing about Python to coding and analyzing data with Python using tools like Pandas, NumPy, and Matplotlib. 💻 Code: https://github.com/datapublishings/Course-python-data-science This is a hands-on course and you will practice everything you learn step-by-step. This course was created by Maxwell Armi. You can check out more of his data science videos on his YouTube channel here: https://www.youtube.com/c/AISciencesLearn 🎥 Learn more about Data Science with videos from freeCodeCamp's Data Science Playlist: https://www.youtube.com/playlist?list=PLWKjhJtqVAblQe2CCWqV4Zy3LY01Z8aF1 ❤️ 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) ⭐️ Course Contents ⭐️ ⌨️ (0:00:00) Introduction to the Course and Outline ⌨️ (0:03:53) The Basics of Programming ⌨️ (1:11:35) Why Python ⌨️ (1:33:09) How to Install Anaconda and Python ⌨️ (1:37:25) How to Launch a Jupyter Notebook ⌨️ (1:46:28) How to Code in the iPython Shell ⌨️ (1:53:33) Variables and Operators in Python ⌨️ (2:27:45) Booleans and Comparisons in Python ⌨️ (2:55:37) Other Useful Python Functions ⌨️ (3:20:04) Control Flow in Python ⌨️ (5:11:52) Functions in Python ⌨️ (6:41:47) Modules in Python ⌨️ (7:30:04) Strings in Python ⌨️ (8:23:57) Other Important Python Data Structures: Lists, Tuples, Sets, and Dictionaries ⌨️ (9:36:10) The NumPy Python Data Science Library ⌨️ (11:04:12) The Pandas Python Data Science Python Library ⌨️ (12:01:31) The Matplotlib Python Data Science Library ⌨️ (12:09:00) Example Project: A COVID19 Trend Analysis Data Analysis Tool Built with Python Libraries

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