Watch Python for Data Science - Course for Beginners (Learn Python, Pandas, NumPy, Matplotlib) Video Tutorial


Tutorial Details & Info

Tutorial Title: Python for Data Science - Course for Beginners (Learn Python, Pandas, NumPy, Matplotlib)
Instructor / Channel: freeCodeCamp.org
Lesson Runtime: 19:52 Minutes
Publish Date: June 02, 2020
Total Students / Views: 4,781,264 views

Follow step-by-step with Python for Data Science - Course for Beginners (Learn Python, Pandas, NumPy, Matplotlib) instructor freeCodeCamp.org. The total lesson runtime is 19:52 minutes with crystal clear HD video and audio quality. Follow along to build your skills on any desktop PC, Mac, tablet, or smartphone.

Want to learn more about Python for Data Science - Course for Beginners (Learn Python, Pandas, NumPy, Matplotlib)? Enjoy instant video playback and interactive course recommendations to help you master new skills quickly. Explore more video lessons by freeCodeCamp.org or browse popular topics on TutorTube.

Course Description & Lesson Notes

Official Video Description:

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

🌐 Web & Search Guide Notes (DuckDuckGo, Yahoo & Bing):

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🎓 Lesson Overview & Learning Outcomes:

Welcome to the step-by-step video guide for Python for Data Science - Course for Beginners (Learn Python, Pandas, NumPy, Matplotlib) taught by freeCodeCamp.org. This tutorial provides a comprehensive walkthrough designed to take you from foundational principles to practical implementation.

💡 Key Topics Covered in This Course:

  • Core Fundamentals & Setup: Understanding the workspace, essential tools, and initial setup for Python for Data Science - Course for Beginners (Learn Python, Pandas, NumPy, Matplotlib).
  • Step-by-Step Practical Demonstration: Hands-on implementation guided by freeCodeCamp.org with real-world examples.
  • Best Practices & Key Shortcuts: Time-saving workflows, keyboard shortcuts, and industry-standard recommendations.
  • Troubleshooting & Common Pitfalls: How to avoid common beginner errors and optimize your workflow for peak efficiency.

📋 Recommended Prerequisites & Study Notes:

No prior advanced experience is required. Follow along with the video player above on any desktop computer, tablet, or mobile device. Pause and rewind at key steps to practice along with the instructor.

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