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
Coursera Instructor Network
GenAI for Account Managers: Personalizing Client Engagement
Skills you'll gain: Account Management, Client Services, AI Personalization, Customer Engagement, Generative AI Agents, Customer Communications Management, Personalized Service, Customer Insights, Prompt Engineering, Communication, ChatGPT, Scalability, HubSpot CRM, Predictive Modeling, Business Process Automation, Business Ethics, Workflow Management, Automation
Intermediate · Course · 1 - 4 Weeks
Status: New
Status: Free Trial
Google
Discover the Art of Prompting
Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, ChatGPT, Technical Writing
4.9
Rating, 4.9 out of 5 stars
90 reviews
Beginner · Course · 1 - 4 Weeks
Status: New
Status: Free Trial
Google
Maximize Productivity With AI Tools
Skills you'll gain: Workflow Management, Generative AI, Process Optimization, Productivity Software, Prompt Engineering, Artificial Intelligence, Operational Efficiency, Automation
4.8
Rating, 4.8 out of 5 stars
152 reviews
Beginner · Course · 1 - 4 Weeks
Status: New
Packt
Natural Language Processing - Deep Learning Models in Python
Skills you'll gain: Tensorflow, Deep Learning, Natural Language Processing, Artificial Neural Networks, Python Programming, Text Mining, Machine Learning Methods
Intermediate · Course · 1 - 3 Months
Status: New
Packt
Master ChatGPT & OpenAI APIs – Build AI Tools in Python
Skills you'll gain: Prompt Engineering, ChatGPT, OpenAI, Generative AI, Large Language Modeling, Python Programming, Artificial Intelligence, Technical Communication, Natural Language Processing, Application Programming Interface (API), Application Development, User Interface (UI)
Intermediate · Course · 3 - 6 Months
Status: Free Trial
Indian School of Business
Trading Strategies in Emerging Markets
Skills you'll gain: Financial Statements, Peer Review, Financial Statement Analysis, Financial Trading, Balance Sheet, Portfolio Management, Data Collection, Market Liquidity, Market Data, Investment Management, Financial Analysis, Performance Analysis, Financial Market, Market Dynamics, Project Design, Market Analysis, Business Planning, Securities Trading, Performance Measurement, Technical Analysis
4.2
Rating, 4.2 out of 5 stars
2.7K reviews
Beginner · Specialization · 3 - 6 Months
Status: New
Status: Free Trial
IBM
Build RAG Applications: Get Started
Skills you'll gain: Generative AI, Artificial Intelligence, Prompt Engineering, Large Language Modeling, Application Development, Application Frameworks, User Interface (UI), Natural Language Processing, Jupyter
4.8
Rating, 4.8 out of 5 stars
10 reviews
Intermediate · Course · 1 - 4 Weeks
Status: New
Board Infinity
Mastering DeepSeek: From Architecture to Application
Skills you'll gain: Deep Learning, Generative AI Agents, Generative AI, Business Process Automation, Large Language Modeling, Application Deployment, Prompt Engineering, Software Development Tools, Software Architecture, Automation, Development Environment, Application Programming Interface (API), Artificial Intelligence, Integration Testing, Systems Architecture, Applied Machine Learning, Unstructured Data, Open Source Technology, Reinforcement Learning, Scalability
Beginner · Course · 1 - 3 Months
Status: New
Fractal Analytics
How to Build a Diffusion Model - An Introduction
Skills you'll gain: Generative AI, Deep Learning, PyTorch (Machine Learning Library), Machine Learning Methods, Tensorflow, Image Analysis, Software Architecture, Artificial Neural Networks, Natural Language Processing, Performance Tuning
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Snowflake
Introduction to Modern Data Engineering with Snowflake
Skills you'll gain: Data Pipelines, Data Transformation, Extract, Transform, Load, Data Integration, Data Warehousing, Real Time Data, Data Import/Export, Stored Procedure, Data Sharing, SQL, Automation, Command-Line Interface
4.8
Rating, 4.8 out of 5 stars
103 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Microsoft
Work Smarter with Microsoft Word
Skills you'll gain: Microsoft Word, Microsoft 365, Productivity Software, Proofreading, Document Management, Technical Documentation, Microsoft Windows, Presentations, Writing, Editing, Data Entry, Data Visualization, Grammar
4.7
Rating, 4.7 out of 5 stars
2K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
University of California, Davis
Fundamentals of GIS
Skills you'll gain: ArcGIS, GIS Software, Spatial Data Analysis, Data Sharing, Spatial Analysis, Geographic Information Systems, Geospatial Mapping, Metadata Management, Data Quality, Data Mapping, File Management, Data Presentation
4.8
Rating, 4.8 out of 5 stars
5.8K reviews
Beginner · Course · 1 - 4 Weeks