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ML courses
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pandas in 30 days
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Introduction
Welcome to the course!
Download the course files
Course videos
Day 1: What is pandas?
Day 2: How do I read a tabular data file into pandas?
Day 3: How do I select a pandas Series from a DataFrame?
Day 4: Why do some pandas commands end with parentheses (and others don't)?
Day 5: How do I rename columns in a pandas DataFrame?
Day 6: How do I remove columns from a pandas DataFrame?
Day 7: How do I sort a pandas DataFrame or a Series?
Day 8: How do I filter rows of a pandas DataFrame by column value?
Day 9: How do I apply multiple filter criteria to a pandas DataFrame?
Day 10: Your pandas questions answered!
Day 11: How do I use the "axis" parameter in pandas?
Day 12: How do I use string methods in pandas?
Day 13: How do I change the data type of a pandas Series?
Day 14: When should I use a "groupby" in pandas?
Day 15: How do I explore a pandas Series?
Intermission: Can I ask you a quick favor?
Day 16: How do I handle missing values in pandas?
Day 17: What do I need to know about the pandas index? (Part 1)
Day 18: What do I need to know about the pandas index? (Part 2)
Day 19: How do I select multiple rows and columns from a pandas DataFrame?
Day 20: When should I use the "inplace" parameter in pandas?
Day 21: How do I make my pandas DataFrame smaller and faster?
Day 22: How do I use pandas with scikit-learn to create Kaggle submissions?
Day 23: More of your pandas questions answered!
Day 24: How do I create dummy variables in pandas?
Day 25: How do I work with dates and times in pandas?
Day 26: How do I find and remove duplicate rows in pandas?
Day 27: How do I avoid a SettingWithCopyWarning in pandas?
Day 28: How do I change display options in pandas?
Day 29: How do I create a pandas DataFrame from another object?
Day 30: How do I apply a function to a pandas Series or DataFrame?
Bonus videos
Bonus: How do I merge DataFrames in pandas?
Bonus: How do I use the MultiIndex in pandas?
Bonus: My top 25 pandas tricks
Bonus: 21 more pandas tricks
Conclusion
Can I ask you a quick favor?
Request your certificate of completion
Take another course from Data School!
Earn money by promoting Data School's courses!
Products
Course
Section
Course videos
Course videos
pandas in 30 days
Buy now
Learn more
Introduction
Welcome to the course!
Download the course files
Course videos
Day 1: What is pandas?
Day 2: How do I read a tabular data file into pandas?
Day 3: How do I select a pandas Series from a DataFrame?
Day 4: Why do some pandas commands end with parentheses (and others don't)?
Day 5: How do I rename columns in a pandas DataFrame?
Day 6: How do I remove columns from a pandas DataFrame?
Day 7: How do I sort a pandas DataFrame or a Series?
Day 8: How do I filter rows of a pandas DataFrame by column value?
Day 9: How do I apply multiple filter criteria to a pandas DataFrame?
Day 10: Your pandas questions answered!
Day 11: How do I use the "axis" parameter in pandas?
Day 12: How do I use string methods in pandas?
Day 13: How do I change the data type of a pandas Series?
Day 14: When should I use a "groupby" in pandas?
Day 15: How do I explore a pandas Series?
Intermission: Can I ask you a quick favor?
Day 16: How do I handle missing values in pandas?
Day 17: What do I need to know about the pandas index? (Part 1)
Day 18: What do I need to know about the pandas index? (Part 2)
Day 19: How do I select multiple rows and columns from a pandas DataFrame?
Day 20: When should I use the "inplace" parameter in pandas?
Day 21: How do I make my pandas DataFrame smaller and faster?
Day 22: How do I use pandas with scikit-learn to create Kaggle submissions?
Day 23: More of your pandas questions answered!
Day 24: How do I create dummy variables in pandas?
Day 25: How do I work with dates and times in pandas?
Day 26: How do I find and remove duplicate rows in pandas?
Day 27: How do I avoid a SettingWithCopyWarning in pandas?
Day 28: How do I change display options in pandas?
Day 29: How do I create a pandas DataFrame from another object?
Day 30: How do I apply a function to a pandas Series or DataFrame?
Bonus videos
Bonus: How do I merge DataFrames in pandas?
Bonus: How do I use the MultiIndex in pandas?
Bonus: My top 25 pandas tricks
Bonus: 21 more pandas tricks
Conclusion
Can I ask you a quick favor?
Request your certificate of completion
Take another course from Data School!
Earn money by promoting Data School's courses!
31 Lessons
Day 1: What is pandas?
Day 2: How do I read a tabular data file into pandas?
Day 3: How do I select a pandas Series from a DataFrame?
Day 4: Why do some pandas commands end with parentheses (and others don't)?
Day 5: How do I rename columns in a pandas DataFrame?
Day 6: How do I remove columns from a pandas DataFrame?
Day 7: How do I sort a pandas DataFrame or a Series?
Day 8: How do I filter rows of a pandas DataFrame by column value?
Day 9: How do I apply multiple filter criteria to a pandas DataFrame?
Day 10: Your pandas questions answered!
Day 11: How do I use the "axis" parameter in pandas?
Day 12: How do I use string methods in pandas?
Day 13: How do I change the data type of a pandas Series?
Day 14: When should I use a "groupby" in pandas?
Day 15: How do I explore a pandas Series?
Intermission: Can I ask you a quick favor?
Day 16: How do I handle missing values in pandas?
Day 17: What do I need to know about the pandas index? (Part 1)
Day 18: What do I need to know about the pandas index? (Part 2)
Day 19: How do I select multiple rows and columns from a pandas DataFrame?
Day 20: When should I use the "inplace" parameter in pandas?
Day 21: How do I make my pandas DataFrame smaller and faster?
Day 22: How do I use pandas with scikit-learn to create Kaggle submissions?
Day 23: More of your pandas questions answered!
Day 24: How do I create dummy variables in pandas?
Day 25: How do I work with dates and times in pandas?
Day 26: How do I find and remove duplicate rows in pandas?
Day 27: How do I avoid a SettingWithCopyWarning in pandas?
Day 28: How do I change display options in pandas?
Day 29: How do I create a pandas DataFrame from another object?
Day 30: How do I apply a function to a pandas Series or DataFrame?