Watch Data Analysis with Python for Excel Users - Full Course Video Tutorial


Tutorial Details & Info

Tutorial Title: Data Analysis with Python for Excel Users - Full Course
Instructor / Channel: freeCodeCamp.org
Lesson Runtime: 57:46 Minutes
Publish Date: November 24, 2021
Total Students / Views: 3,614,194 views

Master the concepts in Data Analysis with Python for Excel Users - Full Course presented by freeCodeCamp.org. The total lesson runtime is 57:46 minutes with detailed practical demonstrations. Watch this video tutorial for free without any subscription or sign-up required.

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Course Description & Lesson Notes

Official Video Description:

Learn how to use Python and Pandas for data analysis. This course will be especially helpful if you have experience with Excel, but that is not required. Learn how to create pivot tables, work with data, and make visualizations using Python, Pandas, and Jupyter Notebook. 💻 Source Code & Datasets: https://github.com/ifrankandrade/python-course-for-excel-users 🔗 Datasets: https://drive.google.com/drive/folders/12hFh6RPlX5bWzSqpoMvAeT94RCjCvHw5?usp=sharing ✏️ Course developed by Frank Andrade. 🔗 YouTube Channel: https://www.youtube.com/c/FrankAndrade5 🔗 PDF Python Cheat Sheet for this Course: https://artificialcorner.com/p/redeem-my-udemy-courses-for-free 🔗 My Complete Python Courses for Data Analysis & Data Science: https://www.udemy.com/user/frank-andrade-13/ ❤️ 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) Intro ⌨️ (0:01:48) Install Python and Jupyter Notebook with Anaconda ⌨️ (0:03:53) Jupyter Notebook Interface ⌨️ (0:13:56) Cell Types and Cell Mode ⌨️ (0:21:34) Jupyter Notebook Shortcuts ⌨️ (0:26:39) Module 1 - Hello World ⌨️ (0:30:30) Data Type ⌨️ (0:39:10) Variables ⌨️ (0:46:53) Lists ⌨️ (1:11:14) Dictionaries ⌨️ (1:21:50) IF Statement ⌨️ (1:28:04) FOR Loop ⌨️ (1:33:49) Functions ⌨️ (1:40:59) Modules ⌨️ (1:44:41) Module 2 -Introduction to Pandas ⌨️ (1:51:08) How to create a dataframe ⌨️ (2:07:34) How to show a dataframe ⌨️ (2:14:24) Basic Attributes, Functions and Methods ⌨️ (2:26:17) Selecting One Column from a Dataframe ⌨️ (2:32:13) Selecting Two or More Columns from a Dataframe ⌨️ (2:37:50) Add New Column to a Dataframe (Simple Assignment) ⌨️ (2:47:51) Operations in dataframes ⌨️ (2:56:04) The value_counts() method ⌨️ (3:00:16) Sort a DataFrame with the sort_values() method ⌨️ (3:09:56) Module 3: Introduction to Pivot Tables in Pandas ⌨️ (3:14:42) The pivot() method ⌨️ (3:20:49) The pivot_table() method ⌨️ (3:29:00) Data Visualization with Pandas (New Dataset + Pivot Table) ⌨️ (3:38:38) Lineplot ⌨️ (3:43:05) Barplot ⌨️ (3:50:52) Piechart ⌨️ (3:54:36) Save Plot and Export Pivot Table 🎉 Thanks to our Champion and Sponsor supporters: 👾 Raymond Odero 👾 Agustín Kussrow 👾 aldo ferretti 👾 Otis Morgan 👾 DeezMaster -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news

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Explore how to apply Data Analysis With Python For Excel Users - Full Course with this comprehensive video tutorial guide. Throughout this course, you will gain step-by-step knowledge for Data Analysis With Python For Excel Users - Full Course.

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🎓 Lesson Overview & Learning Outcomes:

Welcome to the step-by-step video guide for Data Analysis with Python for Excel Users - Full Course 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 Data Analysis with Python for Excel Users - Full Course.
  • 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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