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: Matplotlib, Web Scraping, Pivot Tables And Charts, Pandas (Python Package), Data Integration, Statistical Visualization, Data Manipulation, Exploratory Data Analysis, Data Wrangling, Data Visualization, Data Transformation, Data Processing, Data Cleansing, Data Presentation, Plot (Graphics), Data Visualization Software, Statistical Analysis, Seaborn, NumPy, Python Programming
4.6
Rating, 4.6 out of 5 stars
33 reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
University of Colorado Boulder
Fundamental Tools of Data Wrangling
Skills you'll gain: Pandas (Python Package), Data Wrangling, NumPy, Data Cleansing, Data Structures, Data Analysis, Data Manipulation, Data Transformation, Data Quality, Exploratory Data Analysis, Statistical Analysis, Data Integration, Programming Principles, Python Programming, Scripting
4.6
Rating, 4.6 out of 5 stars
18 reviews
Beginner · Course · 1 - 3 Months
Status: New
Status: Preview
Coursera Instructor Network
AWS Data Automation: Glue & Lambda Integration
Skills you'll gain: Data Integration, Extract, Transform, Load, Metadata Management, Amazon Redshift, Amazon Web Services, Data Pipelines, Data Warehousing, Amazon S3, Automation, Cloud-Native Computing, Data Transformation, Serverless Computing, Process Optimization, System Monitoring
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Google
Process Data from Dirty to Clean
Skills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Processing, Data Analysis, Data Transformation, Data Validation, Sample Size Determination, SQL, Spreadsheet Software
4.8
Rating, 4.8 out of 5 stars
19K reviews
Beginner · Course · 1 - 3 Months
Status: Preview
Edureka
Data Wrangling with MongoDB
Skills you'll gain: MongoDB, NoSQL, Database Management, Data Wrangling, Performance Tuning, Database Design, Databases, Data Modeling, Data Store, Query Languages, Scalability, Real Time Data, Disaster Recovery, Data Security
Intermediate · Course · 1 - 3 Months
Status: Free Trial
University of Michigan
Total Data Quality
Skills you'll gain: Data Quality, Data Cleansing, Quantitative Research, Data Validation, Data Integrity, Data Collection, Quality Assurance, Data Processing, Data Strategy, Data Management, Data Analysis, Data Access, Statistical Analysis, Sampling (Statistics), Threat Detection
4.7
Rating, 4.7 out of 5 stars
55 reviews
Beginner · Specialization · 1 - 3 Months

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Status: New
Status: Free Trial
Fractal Analytics
Advanced Data Techniques for Enterprise AI Systems
Skills you'll gain: Data Governance, Data Strategy, Data Ethics, Responsible AI, Data Management, Data Architecture, Metadata Management, Data Store, Data Loss Prevention, Data Security, Interoperability, Docker (Software), Data Storage, Data Processing, Semantic Web, Generative AI Agents, Real Time Data, Large Language Modeling, Machine Learning, Agentic systems
Intermediate · Course · 1 - 3 Months
Status: New
Status: Free Trial
Google
Clean Your Data
Skills you'll gain: Data Wrangling
Intermediate · Course · 1 - 3 Months
Status: New
Status: Free Trial
Pearson
Data Science Fundamentals Part 1: Unit 2
Skills you'll gain: Extract, Transform, Load, Data Transformation, Data Integration, Web Scraping, Data Pipelines, JSON, Object Oriented Programming (OOP), Extensible Markup Language (XML), Data Modeling, Application Programming Interface (API), Relational Databases
Beginner · Course · 1 - 4 Weeks
Status: New
Status: Free Trial
Google
Explore Raw Data
Skills you'll gain: Data Transformation, Unstructured Data, JSON, Data Structures, Data Validation
Intermediate · Course · 1 - 4 Weeks
Status: New
Status: Free Trial
Google
The Importance of Integrity
Skills you'll gain: Data Integrity, Data Cleansing, Data Quality, Data Validation, Sample Size Determination, Sampling (Statistics), Data Analysis, Statistics, Statistical Analysis
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Multiple educators
DeepLearning.AI Data Engineering
Skills you'll gain: Apache Airflow, Data Modeling, Data Pipelines, Data Storage, Data Architecture, Requirements Analysis, Data Processing, Data Warehousing, Query Languages, Apache Hadoop, Extract, Transform, Load, Data Lakes, Amazon Web Services, File Systems, Apache Spark, Database Systems, Feature Engineering, Data Integration, AWS Kinesis, Data Management
4.7
Rating, 4.7 out of 5 stars
529 reviews
Intermediate · Professional Certificate · 3 - 6 Months