Data wrangling as we know is a step-by-step process of removing errors and combining complex data sets with the aim to make them more accessible and easier to analyze. Everyone knows the amount of data and available data sources are increasing every day. In other words, data expansion is increasing rapidly, and storing and organizing them can be a problem. That is why we rely on data wrangling for storing and organizing larger quantities of data.

This process is also known as data munging as it consists of reorganizing, transforming, and mapping data from one raw form to another. And then make it more usable and valuable for different downstream uses including analytics. Below you can find a list of Best + Free Data Wrangling Courses & Classes and start learning all about data wrangling from the comfort of your home.

#	Course Name	University/Organization	Ratings	Duration
1.	Introduction to Data Engineering	IBM	★★★★★ 4.7	14 Hours
2.	Data Science: Wrangling	Harvard	—	16 Hours
3.	Complete Data Wrangling & Data Visualisation With Python	Udemy	★★★★☆ 4.3	07 Hours
4.	Practical Data Wrangling with Pandas	Coursera Project Network	—	02 Hours
5.	Data Wrangling in R	LinkedIn Learning	★★★★★ 4.8	03 Hours
6.	Data Wrangling, Analysis and AB Testing with SQL	University of California	★★★☆☆ 3.3	15 Hours
7.	Data Wrangling in Pandas for Machine Learning Engineers	Udemy	★★★★☆ 4.4	01 Hour
8.	Excel for Everyone: Data Analysis Fundamentals	University of British Columbia	—	24 Hours
9.	Data Visualization & Data Wrangling Masterclass with Python	Udemy	★★★★☆ 4.0	10 Hours

In order to help our readers in taking a knowledgeable learning decision, TakeThisCourse.net has introduced a metric to measure the effectiveness of an online course. Learn more about how we measure an online course effectiveness.

Best + Free Data Wrangling Courses & Classes

Introduction to Data Engineering

- - IBM via Coursera
  - 79,502+ already enrolled!
  - ★★★★★ (1,682 Ratings)

Introduction to Data Engineering

Online Course Effectiveness Score
Content	Engagement	Practice	Career Benefit
Excellent ★★★★★	Excellent ★★★★★	Good ★★★★☆	Good ★★★★☆

In this beginner-level course, the instructor will discuss the different stages and concepts in the data engineering lifecycle.

The reason why we chose this course is its focus on describing and providing different examples of data engineering technologies. This includes relational databases, NoSQL Data Stores, Big Data Engines, and many others.
This course is for those who wish to understand the different concepts in data security, governance, and compliance.

If you’re eager to explore Data Engineering Curriculum, our in-depth article on essential skills and learning paths can provide valuable insights.

At this point, I am studying Chemical Engineering but at the same time developed an interest in data analysis as well. Can say this course turned out to be very helpful in learning things I was interested in. (ONG HL, ★★★★★)

Data Science: Wrangling

- - HARVARD via edX
  - 16 Hours of effort required!
  - Study Type: Self-paced

In this engaging class, you will learn to import data into R from different file formats. Here you will also learn all about web scraping. You will be taught how to work with dates and times as file formats. Expand your knowledge without breaking the bank. Unlock the World of Free Web Scraping Training with our collection of educational materials.

The best thing about this class is its focus on explaining how to tidy data using the tidyverse.
This class is for those who wish to learn how to wrangle data using dplyr.

Complete Data Wrangling & Data Visualisation With Python

- - Minerva Singh via Udemy
  - 14,795+ already enrolled!
  - ★★★☆☆ (796 Ratings)

Complete Data Wrangling & Data Visualisation With Python

Online Course Effectiveness Score
Content	Engagement	Practice	Career Benefit
Excellent ★★★★★	Good ★★★★☆	Fair ★★★☆☆	Fair ★★★☆☆

In this course, the instructor will explain all about how to preprocess, wrangle, and visualize data for practical data science applications in Python.

The reason why we chose this course is its focus on explaining how to carry out the basic data pre-processing and wrangling in the Jupyter Environment.
This course is for those who wish to learn to identify which visualizations should be used in different given situations.

I can say this course has a lot of valuable information to offer about preprocessing and wrangling. With that, the instructor also explained how to visualize data for practical data science applications in Python. This is a very interesting course and offers vast potential for practical applications. (Sweta V, ★★★★★)

Practical Data Wrangling with Pandas

- - Coursera Project Network via Coursera
  - 02 Hours of effort required!
  - Study Type: Self-paced

Practical Data Wrangling with Pandas

In this class, you will be taught how to perform exploratory data analysis (EDA) and data wrangling in Pandas.

The best thing about this class is its focus on explaining how to perform feature engineering and one-hot encoding and deal with missing data.
This class is for all those who wish to understand the difference between normalization and standardization.

Data Wrangling in R

- - Mike Chapple via LinkedIn Learning
  - 7,144+ already enrolled!
  - ★★★★★ (190 Ratings)

Data Wrangling in R

Online Course Effectiveness Score
Content	Engagement	Practice	Career Benefit
Excellent ★★★★★	Good ★★★★☆	Fair ★★★☆☆	Fair ★★★☆☆

In this intermediate-level course, the instructor will help you understand the principles of tidy data in detail. Here you will understand how to create and manipulate data tibbles, and how to use these tibbles in importing, transforming, and cleaning your data.

This was without any doubt a great and in-depth course where the instructor explained all the concepts in a precise, clear, and easy-to-follow way. The instructor’s verbal communication was quite good and I could easily understand all the taught concepts. (Ryan Johnson, ★★★★★)

continue with more Data Wrangling Courses & Classes…

Data Wrangling, Analysis and AB Testing with SQL

- - University of California via Coursera
  - 51,758+ already enrolled!
  - ★★★☆☆ (799 Ratings)

Data Wrangling, Analysis and AB Testing with SQL

Online Course Effectiveness Score
Content	Engagement	Practice	Career Benefit
Good ★★★★☆	Good ★★★★☆	Fair ★★★☆☆	Fair ★★★☆☆

This is an intermediate-level course where the instructor will explain how to convert timestamps of all types to common formats.

The reason why we chose this course is its focus on explaining how to segment and analyze data per segment using windowing functions.
This course is for those who wish to understand how to convert a query into a scheduled job and insert data into a data partition.

This was a pretty interesting course that was not only engaging but easy to understand. The instructor explained well how to prepare data for AB testing in a real database environment. One thing to mention here is that if you really want to make the most out of this course then it is best you have intermediate-level knowledge of SQL. The instructor goes into deep detail regarding SQL and that is why you must have prior experience in SQL. (Ayomide O, ★★★★★)

Data Wrangling in Pandas for Machine Learning Engineers

- - Mike West via Udemy
  - 795+ already enrolled!
  - ★★★★☆ (115 Ratings)

Data Wrangling in Pandas for Machine Learning Engineers

Online Course Effectiveness Score
Content	Engagement	Practice	Career Benefit
Good ★★★★☆	Good ★★★★☆	Fair ★★★☆☆	Fair ★★★☆☆

Do you want to learn all about data wrangling in Python? If yes, then this course is for you.

The best thing about this course is its focus on preparing you for interview questions on data wrangling in Python.
This course is for those who wish to understand all about Python library for data wrangling.

So far this is the best course I took online. It is clear, concise, and has highly informative and useful content regarding data wrangling. If you have a background in IT and machine learning then your learning journey would be very fun. Even if that is not the case, you’ll still be able to learn a lot from this course. Overall this course has got me thinking about the work I did in the past and how I can enhance it in the future. (Daniel J, ★★★★★)

Excel for Everyone: Data Analysis Fundamentals

- - University of British Columbia via edX
  - 24 Hours of effort required!
  - Study Type: Self-paced

In this course, the instructor will explain how to perform advanced data wrangling, analysis, and dashboard visualization that can help drive strategic decision-making. You will be taught how to apply advanced formulas and conditional logic in detail.

The reason why we chose this course is its focus on explaining how to analyze and report on data frequently. You will be taught how to perform advanced data analysis, collaborate on workbooks with other users and even learn to automate workbook functionality.
This course is for those who wish to understand how to perform formula audits and data validation and protect their workbooks in a step-by-step guide.

Data Visualization & Data Wrangling Masterclass with Python

- - Data Is Good Academy via Udemy
  - 24,022+ already enrolled!
  - ★★★★☆ (156 Ratings)

Data Visualization & Data Wrangling Masterclass with Python

Online Course Effectiveness Score
Content	Engagement	Practice	Career Benefit
Excellent ★★★★★	Good ★★★★☆	Fair ★★★☆☆	Fair ★★★☆☆

This course will help you master advanced data visualization along with data preprocessing and data wrangling in Python through industry-level projects. You will also learn about Python variables and data types in detail.

The best thing about this course is its focus on explaining how to apply loops and conditionals in Python. With that, you will learn how to work with Python strings, Numpy, and the Pandas library.
This course is for those who wish to learn all about univariate, bivariate, and multivariate analysis.

This was a very informative course that is suitable for beginners as well. Being a beginner I was easily able to learn how to visualize graphs and create a powerful visualization. The entire course was easy to understand and helped me learn to importance of data visualization. All the points were covered very nicely and presented in a great way. I highly recommend this course to all those interested. (Arjun T, ★★★★★)

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9 Best + Free Data Wrangling Courses & Classes