Home>
Courses>

Data Wrangling With Python

Data Wrangling With Python

Beginner

47 Lessons

9h

Certificate of Completion

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

1 Project
65 Playgrounds
29 Challenges
9 Quizzes

This course includes

1 Project
65 Playgrounds
29 Challenges
9 Quizzes
Course Overview
What You'll Learn
Course Content

Course Overview

Data wrangling is cleaning, transforming, and organizing data for further analysis. In this course, you will learn how to use Python to effectively wrangle and prepare data for use in data science and machine learning projects. Throughout the course, you will learn about the common challenges that arise when working with data and how to overcome them. You will use Python and several libraries commonly used in data wrangling, including NumPy and pandas. Then, you will learn how to use pandas to clean, trans...Show More

What You'll Learn

Understanding of data wrangling and its application in developing data solutions

A working knowledge of common data wrangling challenges and their solutions

Hands-on experience applying data wrangling techniques using Python to prepare data for further analysis

Familiarity with the core components of data wrangling and the ability to differentiate between data wrangling techniques to understand their suitability

Hands-on experience with datasets to practice the data wrangling techniques in a mini project at the end of the course

What You'll Learn

Understanding of data wrangling and its application in developing data solutions

Show more

Course Content

1.

About This Course

Course Introduction
2.

Introduction to Data Wrangling

Data WranglingApplications of Data WranglingHow to Apply Data WranglingQuiz Yourself: Introduction to Data Wrangling
3.

Reading Data

Loading a CSV Dataset From a URLLoading an Excel Dataset into a DataFrameLoading a Dataset LocallyCoding Challenges on Reading DataQuiz Yourself: Reading Data
4.

Standardization

Fixing the ColumnsData Type ConversionString ConversionCoding Challenges on StandardizationQuiz Yourself: Standardization
5.

Syntax Errors and Irrelevant Data

Spelling Mistakes and TyposLeading and Trailing SpacesHandling Irrelevant DataCoding Challenges on Syntax Errors and Irrelevant DataQuiz Yourself: Syntax Errors and Irrelevant Data
6.

Duplicate and Missing Data

6 Lessons

7.

Filtering and Sorting

6 Lessons

8.

Splitting, Combining, and Merging

5 Lessons

9.

Handling Outliers

5 Lessons

10.

Exporting Data

4 Lessons

Humanitarian Aid Project

Project

11.

Conclusion

1 Lesson

Course Author

Practice and apply your skills

Trusted by 1.4 million developers working at companies

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Souvik Kundu

Front-end Developer

Eric Downs

Musician/Entrepeneur

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

Hands-on Learning Powered by AI

See how Educative uses AI to make your learning more immersive than ever before.

Instant Code Feedback

Evaluate and debug your code with the click of a button. Get real-time feedback on test cases, including time and space complexity of your solutions.

AI-Powered Mock Interviews

Adaptive Learning

Explain with AI

AI Code Mentor

FOR TEAMS

Interested in this course for your business or team?

Unlock this course (and 1,000+ more) for your entire org with DevPath