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.

Browse
Data Wrangling

Filter by

205 results for "data wrangling"

IBM Skills Network
Applied Data Science
Skills you'll gain: Python Programming, Data Analysis, Data Science, Data Structures, Data Visualization, Statistical Programming, Basic Descriptive Statistics, Programming Principles, Exploratory Data Analysis, Algebra, Machine Learning, Applied Machine Learning, Data Mining, General Statistics, Regression, Statistical Analysis, Statistical Tests, Statistical Visualization, Data Management, Extract, Transform, Load, Interactive Data Visualization, Machine Learning Algorithms, SQL, Computer Programming, Geovisualization, Plot (Graphics), Algorithms, Business Analysis, Computational Logic, Computer Programming Tools, Correlation And Dependence, Data Analysis Software, Databases, Econometrics, Mathematical Theory & Analysis, Mathematics, Probability & Statistics, Spreadsheet Software, Statistical Machine Learning, Theoretical Computer Science
4.6
(43.2k reviews)
Beginner · Specialization · 3-6 Months
IBM Skills Network
Data Engineering Foundations
Skills you'll gain: Data Structures, Data Management, Databases, SQL, Python Programming, Database Theory, Data Engineering, Data Analysis, Data Model, Database Application, Programming Principles, Extract, Transform, Load, Data Architecture, Database Administration, Algebra, Database Design, PostgreSQL, Statistical Programming, Basic Descriptive Statistics, Exploratory Data Analysis, Apache, Big Data, Data Science, Data Warehousing, Leadership and Management, Network Security, Professional Development, Security Engineering, Computational Logic, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Distributed Computing Architecture, Mathematical Theory & Analysis, Mathematics, NoSQL, Project Management, Security Strategy, Strategy and Operations, Theoretical Computer Science
4.6
(39.7k reviews)
Beginner · Specialization · 3-6 Months
IBM Skills Network
Data Analysis and Visualization Foundations
Skills you'll gain: Data Analysis, Business Analysis, Spreadsheet Software, Data Visualization, Microsoft Excel, Data Management, Data Analysis Software, Data Science, Data Visualization Software, Plot (Graphics), Statistical Visualization, Big Data, Databases, NoSQL, Python Programming, SQL, Statistical Programming, Basic Descriptive Statistics, Cloud Computing, Data Mining, Data Structures, Data Warehousing, General Statistics, Machine Learning, Mathematics, Probability & Statistics, Apache, Computer Programming, Extract, Transform, Load, Leadership and Management, Operating Systems, Professional Development, System Programming
4.7
(14.3k reviews)
Beginner · Specialization · 3-6 Months
University of Michigan
Python for Everybody
Skills you'll gain: Computer Programming, Python Programming, Statistical Programming, Data Management, SQL, Databases, Extract, Transform, Load, Computer Networking, Network Model, Other Programming Languages, Computational Logic, Computer Programming Tools, Data Structures, Javascript, Natural Language Processing, Programming Principles, Software Architecture, Software Engineering, Theoretical Computer Science, Web Development
4.8
(260.4k reviews)
Beginner · Specialization · 3-6 Months
IBM Skills Network
BI Foundations with SQL, ETL and Data Warehousing
Skills you'll gain: Data Management, Data Warehousing, Databases, SQL, Extract, Transform, Load, Operating Systems, System Programming, System Software, Database Theory, Data Architecture, Database Application, Business Analysis, Apache, Big Data, Database Administration, Statistical Programming, Cloud Computing, Cloud Engineering, Data Visualization, Data Visualization Software, Interactive Data Visualization, Data Science, Data Structures, Accounting, Computer Architecture, Computer Programming, Linux, Microarchitecture, Programming Principles, Python Programming, Software Architecture, Software Engineering, Theoretical Computer Science
4.6
(17.6k reviews)
Beginner · Specialization · 3-6 Months
DeepLearning.AI
Machine Learning Engineering for Production (MLOps)
Skills you'll gain: Machine Learning, Applied Machine Learning, DevOps, Python Programming, Statistical Programming, Tensorflow, Exploratory Data Analysis, Feature Engineering, Probability & Statistics, Cloud Computing, Data Management, Data Warehousing, Extract, Transform, Load, Computer Programming, Computer Vision, Deep Learning, Business Analysis, Change Management, Computer Networking, Data Analysis, Data Visualization, Estimation, General Statistics, Leadership and Management, Machine Learning Algorithms, Network Security, Security Engineering, Security Strategy, Statistical Visualization, Strategy and Operations
4.7
(2.7k reviews)
Advanced · Specialization · 3-6 Months
University of California, Davis
Learn SQL Basics for Data Science
Skills you'll gain: SQL, Data Management, Statistical Programming, Apache, Big Data, Databases, Data Analysis, Data Analysis Software, Extract, Transform, Load, Data Warehousing, Machine Learning, Basic Descriptive Statistics, Computer Programming, Data Science, Exploratory Data Analysis, General Statistics, Leadership and Management, Probability & Statistics, Python Programming, Statistical Analysis
4.6
(15.2k reviews)
Beginner · Specialization · 3-6 Months
Macquarie University
Excel Skills for Business
Skills you'll gain: Business Analysis, Microsoft Excel, Spreadsheet Software, Data Analysis, Data Visualization, Plot (Graphics), Basic Descriptive Statistics, Computational Logic, Computer Architecture, Data Analysis Software, Data Management, Data Mining, Data Visualization Software, Extract, Transform, Load, Interactive Data Visualization, Mathematical Theory & Analysis, Mathematics, Theoretical Computer Science
4.9
(56.1k reviews)
Beginner · Specialization · 3-6 Months
Google Cloud
Preparing for Google Cloud Certification: Cloud Engineer
Skills you'll gain: Cloud Computing, Google Cloud Platform, Web Development, Full-Stack Web Development, Information Technology, Cloud Storage, Computer Architecture, Cloud Load Balancing, Kubernetes, Computer Networking, Cloud Engineering, Cloud Infrastructure, Cloud Management, Cloud Platforms, Distributed Computing Architecture, Google App Engine, Network Architecture, Systems Design, Cloud Applications, Cloud-Based Integration, Data Management, Databases, Operations Management, Other Cloud Platforms and Tools, SQL, Software As A Service, Strategy and Operations, Big Data, Contract Management, Entrepreneurship, Extract, Transform, Load, Leadership and Management, Machine Learning Software, Network Model, Network Security, Security Engineering, Software Security, Statistical Programming, System Security
4.7
(56.6k reviews)
Intermediate · Professional Certificate · 3-6 Months
Google Cloud
Architecting with Google Compute Engine
Skills you'll gain: Cloud Computing, Google Cloud Platform, Web Development, Cloud Storage, Full-Stack Web Development, Cloud Load Balancing, Cloud Applications, Computer Architecture, Computer Networking, Cloud Management, Cloud Infrastructure, Distributed Computing Architecture, Cloud Engineering, Cloud-Based Integration, Google App Engine, Network Architecture, Systems Design, Data Management, Databases, Other Cloud Platforms and Tools, SQL, Cloud Platforms, Cyberattacks, Kubernetes, Operations Management, Security Engineering, Software As A Service, Strategy and Operations, Big Data, Contract Management, DevOps, Entrepreneurship, Extract, Transform, Load, Leadership and Management, Machine Learning Software, Network Model, Network Security, Software Security, Statistical Programming, System Security
4.7
(55.8k reviews)
Intermediate · Specialization · 3-6 Months

Searches related to data wrangling

data wrangling, analysis and ab testing with sql

practical data wrangling with pandas

wrangling data for data analysts with python

wrangling data in the tidyverse

In summary, here are 10 of our most popular data wrangling courses

Data Wrangling, Analysis and AB Testing with SQL: University of California, Davis
Practical Data Wrangling with Pandas: Coursera Project Network
Applied Data Science: IBM Skills Network
Data Engineering Foundations: IBM Skills Network
Data Analysis and Visualization Foundations: IBM Skills Network
Python for Everybody: University of Michigan
BI Foundations with SQL, ETL and Data Warehousing: IBM Skills Network
Machine Learning Engineering for Production (MLOps): DeepLearning.AI
Learn SQL Basics for Data Science: University of California, Davis
Excel Skills for Business: Macquarie University

Skills you can learn in Machine Learning

Python Programming (33)

Tensorflow (32)

Deep Learning (30)

Artificial Neural Network (24)

Big Data (18)

Statistical Classification (17)

Reinforcement Learning (13)

Algebra (10)

Bayesian (10)

Linear Algebra (10)

Linear Regression (9)

Numpy (9)

Frequently Asked Questions about 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.‎
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.‎
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.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

Filter by

205 results for "data wrangling"

Data Wrangling, Analysis and AB Testing with SQL

Practical Data Wrangling with Pandas

Applied Data Science

Data Engineering Foundations

Data Analysis and Visualization Foundations

Python for Everybody

BI Foundations with SQL, ETL and Data Warehousing

Machine Learning Engineering for Production (MLOps)

Learn SQL Basics for Data Science

Excel Skills for Business

Preparing for Google Cloud Certification: Cloud Engineer

Architecting with Google Compute Engine

Searches related to data wrangling

In summary, here are 10 of our most popular data wrangling courses

Skills you can learn in Machine Learning

Frequently Asked Questions about Data Wrangling

Why is it important to learn data wrangling?‎

What are typical careers that use data wrangling?‎

What kind of people are best suited for roles in data wrangling?‎

Start or advance your career

Popular Courses and Certifications

Popular collections and articles

Earn a degree or certificate online

Coursera

Community

More

Filter by

205 results for "data wrangling"

Searches related to data wrangling

In summary, here are 10 of our most popular data wrangling courses

Skills you can learn in Machine Learning

Frequently Asked Questions about Data Wrangling

Why is it important to learn data wrangling?‎

What are typical careers that use data wrangling?‎

What kind of people are best suited for roles in data wrangling?‎

Coursera Footer

Start or advance your career

Popular Courses and Certifications

Popular collections and articles

Earn a degree or certificate online

Coursera

Community

More