The pandas DataFrame: Working With Data Efficiently – Certificate of Completion

The Pandas DataFrame: Make Working With Data Delightful

VERIFIED
Certificate of Achievement

The Pandas DataFrame: Make Working With Data Delightful

This is to certify that

Morteza Poudat

has successfully completed

The pandas DataFrame: Working With Data Efficiently

a course of study offered by Real Python (realpython.com), an online learning platform and expert community for Python software developers.

Completion Date: March 27, 2022

Verification ID: b68e7877-4f2c-4611-820d-0dae8b5dccfb

Course Description

Skill level: intermediate

In this course, you'll get started with pandas DataFrames, which are powerful and widely used two-dimensional data structures. You'll learn how to perform basic operations with data, handle missing values, work with time-series data, and visualize data from a pandas DataFrame.

The pandas DataFrame: Working With Data Efficiently

1. The pandas DataFrame (Overview)

2. Setting Up Your Environment: Anaconda

3. Setting Up Your Environment: venv

4. Getting to Know pandas DataFrames

5. Working With Rows and Columns in DataFrames

Creating pandas DataFrames

1. Creating DataFrames

2. Creating DataFrames From CSV Files

3. Understanding DataFrame Attributes

Accessing and Modifying Data

1. Modifying Values in DataFrames: Label Indices

2. Accessing Values in DataFrames

3. Modifying Values in DataFrames: Accessor Methods

4. Deleting and Inserting Rows in a DataFrame

5. Deleting and Inserting Columns in a DataFrame

6. Creating Columns With Arithmetic Operations and NumPy

Sorting, Filtering, and Handling Missing Data

1. Sorting DataFrames

2. Filtering With Operators

3. Filtering With .where() and .filter()

4. Using Statistical Methods on DataFrames

5. Handling Missing Data

6. Iterating Over Rows and Columns in DataFrames

Working With Time Series and Plotting Data

1. Working With Time Series

2. Slicing DataFrames Using Datetime Indices

3. Doing Rolling-Window Analysis

4. Visualizing DataFrames With Matplotlib

5. The pandas DataFrame (Summary)

View Course Details »

Certificate of Completion

This person’s account is verified and was created on Oct. 15, 2021. Real Python certifies their completion of the The pandas DataFrame: Working With Data Efficiently course on March 27, 2022.

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Real Python is an online learning platform and expert community for Python software developers. It offers interactive online classes and in-depth tutorials created by a team of subject matter experts.