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
Packt
Exploratory Data Analysis & Core ML Algorithms
Skills you'll gain: Exploratory Data Analysis, Data Processing, Predictive Modeling, Classification And Regression Tree (CART), Data Analysis, Machine Learning Algorithms, Regression Analysis, Statistical Modeling, Data Cleansing, Feature Engineering, Supervised Learning, Data Manipulation, Predictive Analytics, Data Visualization
Intermediate · Course · 1 - 3 Months
Status: New
Packt
Statistics & Mathematics for Data Science & Data Analytics
Skills you'll gain: Descriptive Statistics, Probability & Statistics, Statistical Hypothesis Testing, Statistics, Data Analysis, Statistical Analysis, Regression Analysis, Analytics, Statistical Methods, Probability, Data Science, Statistical Modeling, Data-Driven Decision-Making, Statistical Inference, Probability Distribution, Predictive Analytics, Applied Machine Learning, Correlation Analysis
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Meta
Advanced Data Modeling
Skills you'll gain: MySQL Workbench, Extract, Transform, Load, Data Modeling, Database Design, MySQL, Data Warehousing, Database Management, Databases, Relational Databases, Database Architecture and Administration, Advanced Analytics, Data Analysis, Data Visualization Software
4.3
Rating, 4.3 out of 5 stars
102 reviews
Intermediate · Course · 1 - 4 Weeks
Stanford University
Cryptography I
Skills you'll gain: Cryptography, Data Encryption Standard, Encryption, Key Management, Advanced Encryption Standard (AES), Public Key Cryptography Standards (PKCS), Cybersecurity, Authentications, Data Integrity, Secure Coding, Algorithms
4.8
Rating, 4.8 out of 5 stars
4.4K reviews
Mixed · Course · 1 - 3 Months
Status: New
Status: Free Trial
Illinois Tech
Advanced Statistical Techniques for Data Science
Skills you'll gain: Machine Learning Algorithms, Statistical Analysis, Bayesian Statistics, Data Visualization, Statistical Inference, Data Analysis, Data Presentation, Data Cleansing, Applied Machine Learning, Regression Analysis, Analytics, Machine Learning, R Programming, Statistical Methods, Data Science, Statistical Modeling, Data Manipulation, Data Validation, Feature Engineering, Exploratory Data Analysis
Build toward a degree
4.5
Rating, 4.5 out of 5 stars
38 reviews
Intermediate · Specialization · 3 - 6 Months
Status: New
Macquarie University
Excel Skills for Statistics and Data Analysis: Intermediate
Skills you'll gain: Interactive Data Visualization, Pivot Tables And Charts, Statistical Inference, Microsoft Excel, Correlation Analysis, Statistics, Statistical Hypothesis Testing, Probability & Statistics, Statistical Analysis, Regression Analysis, Data Analysis, Sampling (Statistics), Descriptive Statistics, Forecasting
Intermediate · Course · 1 - 3 Months
Nanjing University
Data Processing Using Python
Skills you'll gain: Data Processing, Data Mining, Data Structures, Data Presentation, Object Oriented Programming (OOP), Web Scraping, Data Analysis, Python Programming, Pandas (Python Package), NumPy, Data Visualization, Data Import/Export, Data Manipulation, Matplotlib, User Interface (UI) Design
4.1
Rating, 4.1 out of 5 stars
374 reviews
Beginner · Course · 1 - 3 Months
Status: New
Packt
The Complete Tableau Bootcamp for Aspiring Data Scientists
Skills you'll gain: Tableau Software, Dashboard, Data Visualization Software, Interactive Data Visualization, Data Storytelling, Graphing, Data Manipulation, Scatter Plots, Data Analysis, Data Modeling, Data Transformation, Software Installation
Beginner · Course · 1 - 3 Months
Status: New
Coursera Instructor Network
Alteryx Mastery: Data Analytics & Workflow Automation
Skills you'll gain: Data Import/Export, Alteryx, Data Visualization, Business Analytics, Data Governance, Workflow Management, Operational Efficiency, Data Cleansing, Data Management, Data Manipulation, Data Transformation, Data Analysis, Business Process Automation, Data Integration, Automation
Beginner · Course · 1 - 4 Weeks
Status: New
Packt
70+ JavaScript Challenges - Data Structures and Algorithms
Skills you'll gain: Data Structures, Graph Theory, Algorithms, Computational Thinking, Javascript, Debugging, Computer Science, Development Environment, Performance Tuning
Intermediate · Course · 1 - 3 Months
Status: Free Trial
University of California, Davis
Fundamentals of Visualization with Tableau
Skills you'll gain: Data Visualization Software, Data Visualization, Interactive Data Visualization, Dashboard, Tableau Software, Data Presentation, Tree Maps, Data Analysis, Data Import/Export
4.5
Rating, 4.5 out of 5 stars
6.7K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Duke University
Introductory C Programming
Skills you'll gain: Debugging, Maintainability, Programming Principles, Algorithms, Software Testing, Program Development, C (Programming Language), Pseudocode, Computational Thinking, Software Engineering, Simulations, Test Case, System Programming, Data Structures, Software Development, Computer Programming, Command-Line Interface, Operating Systems, Development Environment, User Interface (UI)
4.6
Rating, 4.6 out of 5 stars
7.3K reviews
Beginner · Specialization · 3 - 6 Months