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

Coursera Project Network
Practical Data Wrangling with Pandas
Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Pandas (Python Package), Data Visualization, Descriptive Statistics, Data Manipulation, Data Transformation, Data Analysis, Statistics
Beginner · Guided Project · Less Than 2 Hours
University of Michigan
Introduction to Data Science in Python
Skills you'll gain: Pandas (Python Package), Jupyter, NumPy, Data Manipulation, Data Science, Data Structures, Data Analysis, Statistical Analysis, Pivot Tables And Charts, Data Cleansing, Data Import/Export, Probability & Statistics, Python Programming, Programming Principles
4.5
Rating, 4.5 out of 5 stars
27K reviews
Intermediate · Course · 1 - 4 Weeks
Google
Foundations of Data Science
Skills you'll gain: Data Storytelling, Data Ethics, Data Analysis, Workflow Management, Data-Driven Decision-Making, Analytical Skills, Data Science, Technical Communication, Communication, Business, Business Workflow Analysis, Project Management, Stakeholder Communications, Professional Networking
4.7
Rating, 4.7 out of 5 stars
3.1K reviews
Advanced · Course · 1 - 3 Months
IBM
Databases and SQL for Data Science with Python
Skills you'll gain: SQL, Databases, Stored Procedure, Relational Databases, Database Design, Query Languages, Database Management, Data Analysis, Jupyter, Data Manipulation, Pandas (Python Package), Transaction Processing
4.7
Rating, 4.7 out of 5 stars
22K reviews
Beginner · Course · 1 - 3 Months
Rice University
Introduction to Data Analysis Using Excel
Skills you'll gain: Microsoft Excel, Pivot Tables And Charts, Graphing, Spreadsheet Software, Excel Formulas, Data Analysis, Histogram, Scatter Plots, Data Manipulation, Data Access, Data Import/Export
4.7
Rating, 4.7 out of 5 stars
10K reviews
Mixed · Course · 1 - 4 Weeks
Google
Google Advanced Data Analytics Capstone
Skills you'll gain: Regression Analysis, Data Visualization, Statistical Analysis, Advanced Analytics, Data Analysis, Business Analytics, Data Science, Data-Driven Decision-Making, Predictive Modeling, Machine Learning, Interviewing Skills, Portfolio Management
4.9
Rating, 4.9 out of 5 stars
1.2K reviews
Advanced · Course · 1 - 4 Weeks
Status: New
Status: AI skills
DeepLearning.AI
DeepLearning.AI Data Analytics
Skills you'll gain: Data Storytelling, Google Sheets, Data Visualization, Data Presentation, Web Scraping, Spreadsheet Software, Dashboard, Interactive Data Visualization, Tableau Software, Data Visualization Software, Time Series Analysis and Forecasting, Descriptive Statistics, Probability & Statistics, Statistical Analysis, Pandas (Python Package), Statistics, Statistical Hypothesis Testing, Data Manipulation, Databases, JSON
4.7
Rating, 4.7 out of 5 stars
50 reviews
Beginner · Professional Certificate · 3 - 6 Months
Google
The Path to Insights: Data Models and Pipelines
Skills you'll gain: Data Modeling, Database Design, Extract, Transform, Load, Data Warehousing, Databases, Performance Tuning, Data Pipelines, Database Systems, Data Integrity, Business Intelligence, Data Mart, Data Validation, Data Quality, SQL, Data Transformation, Performance Testing
4.7
Rating, 4.7 out of 5 stars
630 reviews
Advanced · Course · 1 - 4 Weeks
Johns Hopkins University
The Data Scientist’s Toolbox
Skills you'll gain: Rmarkdown, Version Control, Data Science, Big Data, General Science and Research, Data Analysis, R Programming, Statistical Programming, Exploratory Data Analysis, Software Installation
4.6
Rating, 4.6 out of 5 stars
34K reviews
Mixed · Course · 1 - 4 Weeks
IBM
Python Project for Data Engineering
Skills you'll gain: Web Scraping, Data Transformation, Extract, Transform, Load, Data Manipulation, SQL, Integrated Development Environments, Databases, Application Programming Interface (API), Code Review, Python Programming, Unit Testing, Style Guides
4.6
Rating, 4.6 out of 5 stars
760 reviews
Intermediate · Course · 1 - 4 Weeks
University of California, Davis
SQL for Data Science
Skills you'll gain: Data Governance, SQL, Data Quality, Query Languages, Data Manipulation, Data Modeling, Relational Databases, Data Science, Data Analysis, Database Management Systems, Descriptive Statistics
4.6
Rating, 4.6 out of 5 stars
17K reviews
Beginner · Course · 1 - 4 Weeks
Imperial College London
Mathematics for Machine Learning
Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Data Transformation, Jupyter, Data Science, Advanced Mathematics, Statistics, Machine Learning Algorithms, Geometry, Machine Learning Methods, Statistical Analysis, Artificial Neural Networks, Algorithms, Data Manipulation, Mathematical Modeling
4.6
Rating, 4.6 out of 5 stars
15K reviews
Beginner · Specialization · 3 - 6 Months