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 |
Best + Free Data Wrangling Courses & Classes
Introduction to Data Engineering
-
-
- IBM via Coursera
- 79,502+ already enrolled!
- ★★★★★ (1,682 Ratings)
-
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.
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)
-
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.
Practical Data Wrangling with Pandas
-
-
- Coursera Project Network via Coursera
- 02 Hours of effort required!
- Study Type: Self-paced
-
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)
-
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.
- The best thing about this course is its focus on explaining how the data cleaning and data transformation tasks consume a substantial portion of analyst’s time. Discover a wealth of knowledge in our curated list of Free Data Cleaning Courses Online, perfect for anyone looking to enhance their data management skills at no cost.
- This course is for those who wish to understand the data wrangling principles in detail.
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)
-
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.
Data Wrangling in Pandas for Machine Learning Engineers
-
-
- Mike West via Udemy
- 795+ already enrolled!
- ★★★★☆ (115 Ratings)
-
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.
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)
-
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.
Programming Courses
100+ Courses
★★★★★
Business Courses
70+ Courses
★★★★☆
Blockchain Courses
20+ Courses
★★★★★
Data Science Courses
150+ Courses
★★★★★
Mobile App Development Courses
50+ Courses
★★★★★