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 .

Top Data Wrangling Courses - Learn Data Wrangling Online

Explore the Data Wrangling Course Catalog

Status: Free Trial
Status: AI skills
IBM
IBM Data Engineering
Skills you'll gain: NoSQL, Data Warehousing, Apache Hadoop, Extract, Transform, Load, Apache Airflow, Web Scraping, Linux Commands, Database Design, SQL, IBM Cognos Analytics, MySQL, Apache Spark, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Data Store, Jupyter, Generative AI, Professional Networking
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
58K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
Google
Google Advanced Data Analytics
Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Statistical Hypothesis Testing, Data Ethics, Data Visualization Software, Sampling (Statistics), Data Presentation, Regression Analysis, Feature Engineering, Data Transformation, Descriptive Statistics, Professional Networking, Data Visualization, Tableau Software, Data Manipulation, Statistical Analysis, Statistical Machine Learning, Object Oriented Programming (OOP), Data Analysis, Interviewing Skills
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
6.3K reviews
Advanced · Professional Certificate · 3 - 6 Months
Status: Free Trial
IBM
Introduction to Data Analytics
Skills you'll gain: Big Data, Data Analysis, Statistical Analysis, Apache Hadoop, Data Wrangling, Apache Hive, Data Collection, Data Mart, Data Warehousing, Analytics, Apache Spark, Data Cleansing, Data Lakes, Extract, Transform, Load, Data Visualization Software
4.8
Rating, 4.8 out of 5 stars
19K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
University of California San Diego
Big Data
Skills you'll gain: Apache Spark, Apache Hadoop, Data Integration, Exploratory Data Analysis, Big Data, Graph Theory, Data Pipelines, Database Design, Data Modeling, Regression Analysis, Applied Machine Learning, Data Presentation, Scalability, Data Mining, Data Processing, Statistical Analysis, Data Management, NoSQL, Database Management Systems, Network Analysis
4.5
Rating, 4.5 out of 5 stars
14K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
University of California San Diego
Data Structures and Algorithms
Skills you'll gain: Data Structures, Graph Theory, Algorithms, Network Routing, Program Development, Debugging, Network Model, Bioinformatics, Operations Research, Data Storage, Development Testing, Test Engineering, Software Testing, Theoretical Computer Science, Computational Thinking, Network Analysis, Test Case, Programming Principles, Computer Programming, Epidemiology
4.6
Rating, 4.6 out of 5 stars
17K reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
IBM
Data Analysis and Visualization Foundations
Skills you'll gain: Data Storytelling, Big Data, Data Visualization Software, Data Analysis, Dashboard, IBM Cognos Analytics, Statistical Analysis, Data Mining, Apache Hadoop, Tree Maps, Excel Formulas, Data Wrangling, Apache Hive, Data Collection, Data Mart, Microsoft Excel, Data Warehousing, Data Quality, Data Cleansing, Data Import/Export
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
27K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
IBM
Introduction to Data Science
Skills you'll gain: SQL, Jupyter, Data Literacy, Data Mining, Peer Review, Data Modeling, Relational Databases, Stored Procedure, Databases, Data Science, Big Data, Computer Programming Tools, Query Languages, Data Cleansing, GitHub, Business Analysis, Cloud Computing, Data Analysis, Digital Transformation, R Programming
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
99K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
IBM
Data Science Fundamentals with Python and SQL
Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Data Visualization, Web Scraping, Relational Databases, Stored Procedure, Databases, Computer Programming Tools, Automation, Data Science, GitHub, Python Programming
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
71K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
University of California, Davis
Learn SQL Basics for Data Science
Skills you'll gain: Data Governance, Presentations, SQL, Apache Spark, Distributed Computing, Data Quality, Descriptive Statistics, Data Lakes, A/B Testing, Data Storytelling, Data Analysis, Peer Review, Exploratory Data Analysis, Data Pipelines, Databricks, JSON, Statistical Analysis, Database Design, Query Languages, Complex Problem Solving
4.6
Rating, 4.6 out of 5 stars
17K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
IBM
Databases and SQL for Data Science with Python
Skills you'll gain: SQL, Relational Databases, Stored Procedure, Databases, Query Languages, Jupyter, Data Manipulation, Data Analysis, Pandas (Python Package), Transaction Processing
4.7
Rating, 4.7 out of 5 stars
22K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
IBM
What is Data Science?
Skills you'll gain: Data Literacy, Data Mining, Big Data, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Data-Driven Decision-Making, Deep Learning, Machine Learning, Artificial Intelligence
4.7
Rating, 4.7 out of 5 stars
76K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Multiple educators
Data Science Foundations
Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Pandas (Python Package), Data Visualization Software, Correlation Analysis, Web Scraping, NumPy, Probability & Statistics, Predictive Modeling, Big Data, Computer Programming Tools, Automation, Data Collection, Data Science, Machine Learning Algorithms, Unsupervised Learning
4.6
Rating, 4.6 out of 5 stars
113K reviews
Beginner · Specialization · 3 - 6 Months