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When should I use a groupby in pandas

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Lesson extensions

Lessons List | 38 Lesson
What is pandas Introduction to the Q A series
00:06:25

What is pandas Introduction to the Q A series
How do I read a tabular data file into pandas
00:08:55

How do I read a tabular data file into pandas
How do I select a pandas Series from a DataFrame
00:11:11

How do I select a pandas Series from a DataFrame
Why do some pandas commands end with parentheses and others don t
00:08:46

Why do some pandas commands end with parentheses and others don t
How do I rename columns in a pandas DataFrame
00:09:37

How do I rename columns in a pandas DataFrame
How do I remove columns from a pandas DataFrame
00:06:36

How do I remove columns from a pandas DataFrame
How do I sort a pandas DataFrame or a Series
00:08:57

How do I sort a pandas DataFrame or a Series
How do I filter rows of a pandas DataFrame by column value
00:13:45

How do I filter rows of a pandas DataFrame by column value
How do I apply multiple filter criteria to a pandas DataFrame
00:09:52

How do I apply multiple filter criteria to a pandas DataFrame
Your pandas questions answered
00:09:07

Your pandas questions answered
How do I use the axis parameter in pandas
00:08:34

How do I use the axis parameter in pandas
How do I use string methods in pandas
00:06:17

How do I use string methods in pandas
How do I change the data type of a pandas Series
00:07:29

How do I change the data type of a pandas Series
When should I use a groupby in pandas
00:08:25

When should I use a groupby in pandas
How do I explore a pandas Series
00:09:51

How do I explore a pandas Series
How do I handle missing values in pandas
00:14:28

How do I handle missing values in pandas
What do I need to know about the pandas index Part 1
00:13:37

What do I need to know about the pandas index Part 1
What do I need to know about the pandas index Part 2
00:10:38

What do I need to know about the pandas index Part 2
How do I select multiple rows and columns from a pandas DataFrame
00:21:47

How do I select multiple rows and columns from a pandas DataFrame
When should I use the inplace parameter in pandas
00:10:19

When should I use the inplace parameter in pandas
How do I make my pandas DataFrame smaller and faster
00:19:06

How do I make my pandas DataFrame smaller and faster
How do I use pandas with scikit learn to create Kaggle submissions
00:13:26

How do I use pandas with scikit learn to create Kaggle submissions
More of your pandas questions answered
00:19:24

More of your pandas questions answered
How do I create dummy variables in pandas
00:13:14

How do I create dummy variables in pandas
How do I work with dates and times in pandas
00:10:21

How do I work with dates and times in pandas
How do I find and remove duplicate rows in pandas
00:09:48

How do I find and remove duplicate rows in pandas
How do I avoid a SettingWithCopyWarning in pandas
00:13:30

How do I avoid a SettingWithCopyWarning in pandas
How do I change display options in pandas
00:14:56

How do I change display options in pandas
How do I create a pandas DataFrame from another object
00:14:26

How do I create a pandas DataFrame from another object
How do I apply a function to a pandas Series or DataFrame
00:17:58

How do I apply a function to a pandas Series or DataFrame
How do I use the MultiIndex in pandas
00:25:01

How do I use the MultiIndex in pandas
How do I merge DataFrames in pandas
00:21:49

How do I merge DataFrames in pandas
4 new time saving tricks in pandas
00:14:51

4 new time saving tricks in pandas
5 new changes in pandas you need to know about
00:20:55

5 new changes in pandas you need to know about
My top 25 pandas tricks
00:27:38

My top 25 pandas tricks
21 more pandas tricks
00:24:40

21 more pandas tricks
Data Science Best Practices with pandas PyCon 2019
01:44:17

Data Science Best Practices with pandas PyCon 2019
Your pandas questions answered webcast
01:56:02

Your pandas questions answered webcast

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It was a very insightful course. 2025-06-02

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Course Description

Data analysis in Python, in this course we will learn about data analysis using Python, focusing on how to collect, clean, manipulate, and visualize data to uncover valuable insights. You will get hands-on experience with essential Python libraries such as pandas for data manipulation, NumPy for numerical computing, Matplotlib and Seaborn for data visualization, and Jupyter Notebook for interactive analysis. The course covers importing datasets, handling missing data, filtering and grouping, statistical analysis, and creating meaningful charts and graphs. You’ll also learn to summarize large datasets, draw conclusions, and make data-driven decisions. Whether you're analyzing sales data, survey results, or business performance, this course equips you with the practical skills to perform real-world data analysis. No prior experience required—just basic Python knowledge. Join now and start analyzing data with confidence. Data School
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