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
University of Colorado Boulder
Data Wrangling with Python
Skills you'll gain: Matplotlib, Web Scraping, Pivot Tables And Charts, Pandas (Python Package), Data Integration, Statistical Visualization, Data Manipulation, Exploratory Data Analysis, Data Wrangling, Data Visualization, Data Transformation, Data Processing, Data Cleansing, Data Presentation, Plot (Graphics), Data Visualization Software, Statistical Analysis, Seaborn, NumPy, Python Programming
4.6
Rating, 4.6 out of 5 stars
31 reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
University of Colorado Boulder
Fundamental Tools of Data Wrangling
Skills you'll gain: Pandas (Python Package), Data Wrangling, NumPy, Data Cleansing, Data Structures, Data Analysis, Data Manipulation, Data Transformation, Exploratory Data Analysis, Statistical Analysis, Data Integration, Jupyter, Python Programming, Scripting
4.6
Rating, 4.6 out of 5 stars
18 reviews
Beginner · Course · 1 - 3 Months
Status: Preview
Edureka
Data Wrangling with MongoDB
Skills you'll gain: MongoDB, NoSQL, Database Management, Databases, Database Design, Data Wrangling, Data Modeling, Performance Tuning, Data Manipulation, Data Processing, Analytics, Scalability
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Google
Process Data from Dirty to Clean
Skills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Processing, Data Analysis, Data Transformation, Data Validation, Sample Size Determination, SQL, Spreadsheet Software
4.8
Rating, 4.8 out of 5 stars
18K reviews
Beginner · Course · 1 - 3 Months
Status: New
Status: Preview
Microsoft
Mastering Data Wrangling with dplyr
Skills you'll gain: Data Manipulation, Data Transformation, Tidyverse (R Package), Data Wrangling, R Programming, Data Analysis, Data Cleansing
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
University of Michigan
Total Data Quality
Skills you'll gain: Data Quality, Data Cleansing, Quantitative Research, Data Validation, Data Integrity, Data Collection, Quality Assurance, Data Processing, Data Strategy, Data Management, Data Analysis, Data Access, Statistical Analysis, Sampling (Statistics), Threat Detection
4.6
Rating, 4.6 out of 5 stars
53 reviews
Beginner · Specialization · 1 - 3 Months

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Status: New
Status: Preview
Microsoft
Reshaping Data with tidyr
Skills you'll gain: Data Wrangling, Data Manipulation, Data Transformation, Tidyverse (R Package), Data Cleansing, R Programming, Data Structures
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
University of Colorado Boulder
Data Wrangling with Python Project
Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Integration, Data Processing, Data Collection, Data Validation, Data Cleansing, Data Quality, Data Analysis, Data Manipulation, Data Transformation, Pivot Tables And Charts, Statistical Visualization, Data Visualization, Statistical Analysis, Data Mining, Dimensionality Reduction
Intermediate · Course · 1 - 3 Months
Status: Free Trial
University of Michigan
Data-Oriented Python Programming and Debugging
Skills you'll gain: NumPy, Debugging, Pandas (Python Package), Statistics, Data Analysis, Descriptive Statistics, Data-oriented programming, Data Processing, Maintainability, Numerical Analysis, Critical Thinking, Technical Support
4.4
Rating, 4.4 out of 5 stars
10 reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
Multiple educators
DeepLearning.AI Data Engineering
Skills you'll gain: Apache Airflow, Data Modeling, Data Pipelines, Data Storage, Data Architecture, Requirements Analysis, Data Processing, Data Warehousing, Query Languages, Apache Hadoop, Extract, Transform, Load, Data Lakes, Amazon Web Services, Apache Spark, Database Systems, Feature Engineering, Data Manipulation, Data Integration, Infrastructure as Code (IaC), Data Management
4.7
Rating, 4.7 out of 5 stars
506 reviews
Intermediate · Professional Certificate · 3 - 6 Months
Status: Free Trial
SkillUp
Data Integration, Data Storage, & Data Migration
Skills you'll gain: Data Migration, Cloud Storage, Data Management, Data Integration, Data Storage, Data Infrastructure, Data Architecture, Extract, Transform, Load, Data Security, Data Pipelines, Disaster Recovery
4.8
Rating, 4.8 out of 5 stars
17 reviews
Intermediate · Course · 1 - 4 Weeks
Status: New
Status: Preview
Coursera
Cleaning, Organizing, and Speeding Up SQL
Skills you'll gain: Data Cleansing, Database Design, Data Integration, Data Import/Export, SQL, Data Maintenance, Data Manipulation, Database Management, Relational Databases, Data Quality, Stored Procedure, Data Integrity, Performance Tuning
Beginner · Course · 1 - 4 Weeks