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pandas Essential Training

via LinkedIn Learning

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Details

Provider

LinkedIn Learning
Pricing

Free Trial Available
Languages

English
Certificate

Certificate Available
Effort

2 hours 15 minutes
Sessions

Self-Paced
Level

Beginner

Found in

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Discover how to work with the pandas library and tools for data analysis and data structuring.

Syllabus

Introduction

Welcome
What you should know
Exercise files

1. Technical Setup

Installing Anaconda
Downloading the data set
Using the Jupyter notebook
Using Pandas

2. Series and DataFrames

DataFrames
Series
Challenge
Solution

3. Data Input and Validation

Using read_csv()
Using shape
Using head() and tail()
Using info()

4. Basic Analysis

Using value_counts()
Using sort_values()
Boolean indexing
String handling
Challenge
Solution

5. Basic Plotting

Basic plotting
Plot types
Colors
Figsize
Colormaps
Seaborn basic plotting
Challenge
Solution

6. Indexing

Index
Using set_index()
Using reset_index()
Using sort_index()
Using loc[]
Using iloc[]
Challenge
Solution

7. Groupby

Groupby
Iterate through a group
Groupby computations
Challenge
Solution

8. Reshaping

Reshaping
Using stack()
Using unstack()
Challenge
Solution

9. Data Visualizations

Learning heatmaps
Creating your own colormaps

10. Challenge

Final challenge
Final solution

Conclusion

Next steps

Taught by

Jonathan Fernandes

Reviews

4.7 rating at LinkedIn Learning based on 975 ratings

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