Why is it important to learn data wrangling?

Data wrangling is important to learn if you want to be able to gather, select, and transform data to answer a question or solve a problem. This is essential for two reasons. First, the work of data wrangling can speed the time to develop and test models. Second, it allows for faster analysis and more accurate conclusions. Data wrangling makes data more usable in an organization. Understanding it can help your work better and make sounder decisions based on the data. Understanding it can help you with other data science courses, lead to professional certifications, or simply help you do better at your job.

What are typical careers that use data wrangling?

Careers that use data wrangling are usually in data science, data analysis, or data engineering. Data wrangling is usually part of an operational role that includes A/B testing, data visualization, model selection, and debugging. Some people who learn data wrangling go on to study advanced computer science, and others just want to understand how and why data is segmented and analyzed. Jobs in data wrangling call for the use of many different programming languages. Some organizations use SQL, others use Python, and some use pivot tables and other advanced Microsoft Excel spreadsheet functions. As more and more work will be using big data, the ability to clean and manipulate data will become more important.

What kind of people are best suited for roles in data wrangling?

People who are best suited for roles in data wrangling at the entry-level have basic computer literacy, high-school math, comfort with numbers, and willingness to learn. Cleaning and manipulating data call for a sense of logic and order, too. Many people manage data for presentations to others, so the ability to design slide decks and reports may come into play. Data wrangling is a form of communication with others in the organization who want problems solved and need the information to do it. Good data wranglers have an interest in helping others use data better. Their work in debugging and data visualization contributes to the overall organization's success.

What are the benefits of taking an online Data Wrangling course?

Online Data Wrangling courses offer a convenient and flexible way to enhance your knowledge or learn new Data Wrangling skills. Choose from a wide range of Data Wrangling courses offered by top universities and industry leaders tailored to various skill levels.

What Data Wrangling courses are best for training and upskilling employees or the workforce?

When looking to enhance your workforce's skills in Data Wrangling, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here .

Best Data Wrangling Courses & Certificates [2025]

Explore the Data Wrangling Course Catalog

Status: Free Trial
University of Colorado Boulder
Data Wrangling with Python
Skills you'll gain: Data Integration, NumPy, Web Scraping, Statistical Visualization, Matplotlib, Data Wrangling, Data Processing, Data Visualization, Data Visualization Software, Data Manipulation, Pandas (Python Package), Data Storytelling, Pivot Tables And Charts, Exploratory Data Analysis, Data Transformation, Descriptive Statistics, Data Warehousing, Seaborn, Statistical Analysis, Python Programming
4.6
Rating, 4.6 out of 5 stars
30 reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Status: AI skills
Google
Google Data Analytics
Skills you'll gain: Data Presentation, Rmarkdown, Data Storytelling, Data Cleansing, Data Visualization, Data Validation, Data Integrity, Interactive Data Visualization, Data Ethics, Ggplot2, R Programming, Dashboard, Data Quality, Stakeholder Communications, Data Literacy, Data Analysis, SQL, Interviewing Skills, Analytical Skills, Applicant Tracking Systems
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
172K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
Status: AI skills
IBM
IBM Data Science
Skills you'll gain: SQL, Data Wrangling, Unsupervised Learning, Matplotlib, Data Literacy, Feature Engineering, Relational Databases, Data Visualization Software, Professional Networking, Predictive Modeling, Plotly, Supervised Learning, Dashboard, Generative AI, Exploratory Data Analysis, Seaborn, Data Visualization, Data Mining, Jupyter, Data Science
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
146K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
Google
Process Data from Dirty to Clean
Skills you'll gain: Data Cleansing, Data Integrity, Data Quality, Sampling (Statistics), Data Transformation, Data Validation, Data Wrangling, Data Manipulation, Data Analysis, SQL, Sample Size Determination, Exploratory Data Analysis, Spreadsheet Software
4.8
Rating, 4.8 out of 5 stars
18K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
University of Colorado Boulder
Fundamental Tools of Data Wrangling
Skills you'll gain: NumPy, Data Wrangling, Data Integration, Pandas (Python Package), Data Manipulation, Data Transformation, Data Structures, Statistical Analysis, Data Cleansing, Data Analysis, Descriptive Statistics, Python Programming, Computer Programming
4.6
Rating, 4.6 out of 5 stars
17 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
University of Michigan
Python for Everybody
Skills you'll gain: Database Design, JSON, Data Processing, SQL, Web Scraping, Relational Databases, Extensible Markup Language (XML), Databases, Database Management, Data Modeling, Data Visualization, Programming Principles, Data Structures, Data Cleansing, Web Services, Interactive Data Visualization, Python Programming, Computer Programming, Software Installation, File Management
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
278K reviews
Beginner · Specialization · 3 - 6 Months

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Status: Preview
Edureka
Data Wrangling with MongoDB
Skills you'll gain: MongoDB, NoSQL, Data Modeling, Database Design, Database Systems, Database Management, Query Languages, Data Wrangling, Scalability, Data Manipulation, Performance Tuning, Data Cleansing, Data Transformation, Data Import/Export, Real Time Data, Data Security, Disaster Recovery
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Johns Hopkins University
R Programming
Skills you'll gain: R Programming, Software Installation, Statistical Programming, Programming Principles, Performance Tuning, Simulations, Debugging, Scripting, Data Manipulation, Statistical Analysis, Data Analysis, Data Structures
4.5
Rating, 4.5 out of 5 stars
22K reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
IBM
Python for Data Science, AI & Development
Skills you'll gain: Jupyter, Web Scraping, Python Programming, Data Collection, Object Oriented Programming (OOP), Pandas (Python Package), Programming Principles, Data Structures, NumPy, Data Processing, Data Manipulation, Application Programming Interface (API), Data Import/Export, Computer Programming, Data Analysis
4.6
Rating, 4.6 out of 5 stars
42K reviews
Beginner · Course · 1 - 3 Months
Status: New
Status: Preview
Microsoft
Mastering Data Wrangling with dplyr
Skills you'll gain: Tidyverse (R Package), Data Manipulation, Data Wrangling, Data Transformation, R Programming, Data Cleansing, Data Pipelines
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Google
Google Advanced Data Analytics
Skills you'll gain: Data Storytelling, Exploratory Data Analysis, Sampling (Statistics), Statistical Hypothesis Testing, Regression Analysis, Statistical Analysis, Data Ethics, Statistics, Unsupervised Learning, Data Presentation, Data Visualization Software, Data Visualization, Data Analysis, Machine Learning, Data Manipulation, Data Science, Tableau Software, Interviewing Skills, Python Programming, Advanced Analytics
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
7.7K reviews
Advanced · Professional Certificate · 3 - 6 Months
Status: Free Trial
IBM
Excel Basics for Data Analysis
Skills you'll gain: Data Cleansing, Excel Formulas, Data Quality, Data Analysis, Business Analytics, Microsoft Excel, Analytical Skills, Data Manipulation, Spreadsheet Software, Pivot Tables And Charts, Data Entry, Data Science, Data Integrity, Information Privacy
4.8
Rating, 4.8 out of 5 stars
10K reviews
Beginner · Course · 1 - 3 Months