Chapters (32)
- 0:00Intro
- 1:48Install Python and Jupyter Notebook with Anaconda
- 3:53Jupyter Notebook Interface
- 13:56Cell Types and Cell Mode
- 21:34Jupyter Notebook Shortcuts
- 26:39Module 1 - Hello World
- 30:30Data Type
- 39:10Variables
- 46:53Lists
- 1:11:14Dictionaries
- 1:21:50IF Statement
- 1:28:04FOR Loop
- 1:33:49Functions
- 1:40:59Modules
- 1:44:41Module 2 -Introduction to Pandas
- 1:51:08How to create a dataframe
- 2:07:34How to show a dataframe
- 2:14:24Basic Attributes, Functions and Methods
- 2:26:17Selecting One Column from a Dataframe
- 2:32:13Selecting Two or More Columns from a Dataframe
- 2:37:50Add New Column to a Dataframe (Simple Assignment)
- 2:47:51Operations in dataframes
- 2:56:04The value_counts() method
- 3:00:16Sort a DataFrame with the sort_values() method
- 3:09:56Module 3: Introduction to Pivot Tables in Pandas
- 3:14:42The pivot() method
- 3:20:49The pivot_table() method
- 3:29:00Data Visualization with Pandas (New Dataset + Pivot Table)
- 3:38:38Lineplot
- 3:43:05Barplot
- 3:50:52Piechart
- 3:54:36Save Plot and Export Pivot Table
Show the creator's full 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
Description and video by freeCodeCamp.org. This page is an independent companion view; the video is embedded from YouTube.