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: New
Status: Free Trial
Meta
Meta Android UI Development
Skills you'll gain: Android Studio, Android Jetpack, Android Development, Kotlin, Android (Operating System), Responsive Web Design, Mobile Development, UI Components, Unit Testing, Gradle, User Interface (UI) Design, Object Oriented Programming (OOP), User Interface (UI), Application Development, Integrated Development Environments, Development Environment, Programming Principles, Test Driven Development (TDD), Cross Platform Development, Data Structures
4.6
Rating, 4.6 out of 5 stars
1.8K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
University of Colorado Boulder
Databases for Data Scientists
Skills you'll gain: SQL, Database Design, Database Management Systems, NoSQL, Relational Databases, Data Warehousing, Database Theory, Database Management, Database Administration, Databases, Database Architecture and Administration, Query Languages, Data Modeling, Data Analysis, MongoDB, Big Data, Data Architecture, Data Access, Data Integrity, Data Manipulation
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
1.3K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
IBM
Developing Mobile Apps with React Native
Skills you'll gain: React Native, Flutter (Software), Mobile Development, React Redux, React.js, Front-End Web Development, JavaScript Frameworks, Ajax, Cross Platform Development, Javascript, Apple iOS, UI Components, Data Structures, Back-End Web Development, Debugging, iOS Development, User Story, Full-Stack Web Development, Web Applications, Android Development
4.4
Rating, 4.4 out of 5 stars
810 reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Google Cloud
Organizational Change and Culture for Adopting Google Cloud
Skills you'll gain: Business Transformation, Site Reliability Engineering, Innovation, Digital Transformation, Serverless Computing, DevOps, Application Programming Interface (API), Technology Strategies, Hybrid Cloud Computing, Safety Culture, Data Strategy, Organizational Change, Change Management, Cloud Infrastructure, Cloud Computing, Culture Transformation, Google Cloud Platform, People Management, Management Training And Development, CI/CD
4.7
Rating, 4.7 out of 5 stars
3.7K reviews
Beginner · Specialization · 3 - 6 Months
Coursera Project Network
Data Cleaning in Excel: Techniques to Clean Messy Data
Skills you'll gain: Data Analysis, Data Cleansing, Microsoft Excel, Data Manipulation, Data Transformation, Data Quality, Excel Formulas, Real Time Data
4.5
Rating, 4.5 out of 5 stars
38 reviews
Intermediate · Guided Project · Less Than 2 Hours
Microsoft
Introduction to Microsoft Azure Cloud Services
Skills you'll gain: Microsoft Azure, Cloud Services, Virtualization, Cloud Computing, Virtual Machines, Cloud Platforms, Cloud Storage, Cloud Infrastructure, Virtual Private Networks (VPN), Public Cloud, General Networking, Database Management Systems, Scalability
4.6
Rating, 4.6 out of 5 stars
2.6K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Meta
React Basics
Skills you'll gain: Mobile Development, React.js, Web Applications, Event-Driven Programming, Application Development, UI Components, HTML and CSS, Javascript
4.7
Rating, 4.7 out of 5 stars
2.4K reviews
Beginner · Course · 1 - 4 Weeks
École Polytechnique
How to Write and Publish a Scientific Paper (Project-Centered Course)
Skills you'll gain: Peer Review, Journals, Scientific Methods, Writing, Research, Research Design, Research Methodologies, Editing, Style Guides, Ethical Standards And Conduct, Data Management
4.6
Rating, 4.6 out of 5 stars
2.7K reviews
Mixed · Course · 1 - 4 Weeks
Status: Free Trial
Fractal Analytics
Python for Data Science
Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Visualization, Statistical Analysis, Probability & Statistics, Statistics, Data Wrangling, Pandas (Python Package), Data Analysis, Jupyter, Data Processing, Data Manipulation, Data Science, Descriptive Statistics, Data Transformation, Applied Machine Learning, Data Cleansing, Python Programming
4
Rating, 4 out of 5 stars
45 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Imperial College London
Mathematics for Machine Learning: PCA
Skills you'll gain: Dimensionality Reduction, NumPy, Probability & Statistics, Feature Engineering, Jupyter, Data Science, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Machine Learning, Calculus
4
Rating, 4 out of 5 stars
3.1K reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
DeepLearning.AI
Build Basic Generative Adversarial Networks (GANs)
Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Data Ethics, Computer Vision, Artificial Intelligence, Unsupervised Learning
4.7
Rating, 4.7 out of 5 stars
2K reviews
Intermediate · Course · 1 - 4 Weeks
IBM
Introduction to Computer Vision and Image Processing
Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, IBM Cloud, Keras (Neural Network Library), Cloud Applications, Deep Learning, Tensorflow, Visualization (Computer Graphics), PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Computer Programming, Application Deployment, Augmented Reality, Machine Learning, Data Processing
4.3
Rating, 4.3 out of 5 stars
1.4K reviews
Beginner · Course · 1 - 3 Months