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, Seaborn, Data Manipulation, Exploratory Data Analysis, Data Wrangling, Data Visualization, Data-Driven Decision-Making, Data Transformation, Data Processing, Data Cleansing, Data Presentation, Plot (Graphics), Data Visualization Software, Statistical Analysis, NumPy, Python Programming
4.6
Rating, 4.6 out of 5 stars
31 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 Visualization, Data Cleansing, Data Structures, Data Analysis, Data Manipulation, Data Transformation, Data Quality, Exploratory Data Analysis, Statistical Analysis, Data Integration, Programming Principles, Python Programming, Scripting Languages, Scripting
4.6
Rating, 4.6 out of 5 stars
18 reviews
Beginner · Course · 1 - 3 Months
Status: Preview
Edureka
Data Wrangling with MongoDB
Skills you'll gain: MongoDB, NoSQL, Database Management, Databases, Database Design, Data Wrangling, Data Modeling, Performance Tuning, Data Manipulation, Data Processing, Analytics, Scalability
Intermediate · Course · 1 - 3 Months
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
18K reviews
Beginner · Course · 1 - 3 Months
Status: New
Status: Preview
Microsoft
Mastering Data Wrangling with dplyr
Skills you'll gain: Data Manipulation, Data Transformation, Tidyverse (R Package), Data Wrangling, R Programming, Data Analysis, Data Cleansing
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
University of Colorado Boulder
Data Wrangling with Python Project
Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Integration, Data Processing, Data Collection, Data Validation, Data Cleansing, Data Quality, Data Analysis, Data Manipulation, Data Transformation, Pivot Tables And Charts, Statistical Visualization, Data Visualization, Statistical Analysis, Data Mining, Dimensionality Reduction
Intermediate · Course · 1 - 3 Months

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Status: New
Status: Preview
Macquarie University
Data Security & Information Privacy
Skills you'll gain: Information Privacy, Personally Identifiable Information, Data Security, Cybersecurity, Threat Modeling, General Data Protection Regulation (GDPR), Data Integrity, Data Governance, Data Ethics, Cyber Risk, Vulnerability Assessments, Vulnerability, Security Management, Security Software, Data Encryption Standard, Risk Management, Security Strategy, Compliance Management, Data Access, NIST 800-53
Beginner · Course · 1 - 3 Months
Status: Free Trial
Multiple educators
DeepLearning.AI Data Engineering
Skills you'll gain: Apache Airflow, Data Modeling, Data Pipelines, Data Storage, Data Storage Technologies, Data Architecture, Requirements Analysis, Data Processing, Data Warehousing, Query Languages, Apache Hadoop, Extract, Transform, Load, Data Lakes, Amazon Web Services, Apache Spark, Database Systems, Feature Engineering, Data Integration, Infrastructure as Code (IaC), Data Management
4.8
Rating, 4.8 out of 5 stars
492 reviews
Intermediate · Professional Certificate · 3 - 6 Months
Status: New
Status: Free Trial
SkillUp
Enterprise Data Integration, Governance and Architecture
Skills you'll gain: Data Security, Data Migration, Data Governance, Extract, Transform, Load, Cloud Storage, Data Management, Data Integration, Data Architecture, Enterprise Architecture, Data Storage, Data Modeling, Data Quality, Personally Identifiable Information, Incident Response, Security Controls, Information Privacy, Data Infrastructure, Data Warehousing, Threat Detection, Law, Regulation, and Compliance
4.5
Rating, 4.5 out of 5 stars
46 reviews
Advanced · Specialization · 1 - 3 Months
Status: Free Trial
IBM
ETL and Data Pipelines with Shell, Airflow and Kafka
Skills you'll gain: Extract, Transform, Load, Apache Airflow, Data Pipelines, Apache Kafka, Data Warehousing, Data Transformation, Data Migration, Web Scraping, Data Integration, Shell Script, Data Processing, Real Time Data, Data Cleansing, Big Data, Performance Tuning, Scalability
4.5
Rating, 4.5 out of 5 stars
424 reviews
Intermediate · Course · 1 - 3 Months
Status: New
Status: Free Trial
Microsoft
Data Manipulation and Cleaning in R
Skills you'll gain: Data Manipulation, Data Cleansing, Data Wrangling, Data Quality, Tidyverse (R Package), Data Transformation, R Programming, Text Mining, Data Validation, Generative AI, Data Integrity
Beginner · Course · 1 - 3 Months
Status: Free Trial
SkillUp
Data Integration, Data Storage, & Data Migration
Skills you'll gain: Data Migration, Cloud Storage, Data Management, Data Integration, Data Storage, Data Infrastructure, Data Architecture, Extract, Transform, Load, Data Security, Data Pipelines, Disaster Recovery
4.8
Rating, 4.8 out of 5 stars
16 reviews
Intermediate · Course · 1 - 4 Weeks