Data Wrangling

  • FAQ
  • Courses
  • Certifications
  • Careers
  • Jobs
  • Companies
  • Skills
  • Articles

What Is Data Wrangling?

Data wrangling is the process of transforming raw data into easily understandable formats and organizing sets from multiple sources into a single structure for further processing. Data wrangling gives data a coherent shape, which makes it more usable. More than 80 percent of existing data is raw and data wrangling techniques give data scientists a way to find the most useful information so it can be mined for real-world insights.

Related Reading From Built In ExpertsGrouping Data With R: A Guide

 

What Is an Example of Data Wrangling?

Data wrangling examples include merging multiple data sources into a single data set, identifying gaps in data and removing outliers.

Data wrangling uses a variety of processes to transform raw data into easily understandable and ready-to-use formats, with methods varying from project to project. This flexibility allows an organization to maintain a backlog of accessible data so insights can be more easily unearthed from within a data set.

Data wrangling is also known as data cleansing, data remediation and data munging. If a company wants to standardize dates within a data set where entries vary in formatting, data wrangling tools make that possible at scale. 

Data Wrangling: 4 Common Uses

  1. Merging multiple data sources into a single data set
  2. Identifying extreme outliers in data and removing them to allow for proper analysis
  3. Identifying gaps in data, such as empty spreadsheet cells, and removing or filling them
  4. Cleaning up inconsistent values and tags

 

What Is Data Wrangling vs. ETL?

Data wrangling is the act of extracting data and converting it to a workable format, while ETL (extract, transform, load) is a process for data integration.

While data wrangling involves extracting raw data for further processing in a more usable form, it is a less systematic process than ETL. Data wrangling and ETL have a variety of uses and should be applied in different instances.

  • Data wrangling is better suited for business managers and data analysts looking to uncover insights from data, while IT professionals tend to prefer ETL pipelines to ensure data transmits easily from source to target.
  • ETL has more uses when working with structured data, while data wrangling is best for raw data.
  • Data wrangling has more uses than ETL when combing through large batches of data.
  • ETL is good for extracting enterprise data on a regular basis.
What Is Data Wrangling and Data Cleaning for Beginners? | Video: SkillCurb

 

What Are Data Wrangling Tools?

NumPy, Pandas, Dplyr, JSOnline, Excel, OpenRefine, Tabula are all examples of data wrangling tools.

Data wrangling is most often accomplished with Python through the use of tools like NumPy, Pandas, Matplotlib, Plotly and Theano, as well as in R by using Dplyr, Mafritty, JSOnline, Purrr and Splitstackshape. The most basic data wrangling software is Excel Power Query, which facilitates manual wrangling. Google DataPrep is another data wrangling tool that enables exploration, cleaning and preparation, while DataWrangler is perfect for cleaning and transformation. OpenRefine introduces programming capabilities into the mix to allow advanced data manipulation. Finally, Tabula is a tool that includes multiple functions and works with all forms of data.

Courses

Expand Your Data Wrangling Career Opportunities

Learn data wrangling and other key data science skills by taking one of Udemy’s top-rated courses.

General Assembly

Regardless of your industry or role, fluency in the language of data analytics will allow you to contribute to data driven decision making.

4.5
(462)
Udemy

Topic: 

Learn to Preprocess, Wrangle and Visualise Data For Practical Data Science Applications in Python

 

What you'll learn:

  • Install and Get Started With the Python…

4.4
(546)
Udemy

Topic: 

Gain Business Intelligence Skills using Statistics, Data Wrangling, Data Science, Visualizations & Google Data Studio

 

What you'll learn

  • Understand the value…

4.2
(642)
Certifications

Data Wrangling Certifications + Programs

Boost your potential by earning a data science certification from Udacity.

General Assembly’s Data Science part-time course is a practical introduction to the interdisciplinary field of data science and machine learning, which lies at the intersection of computer science, statistics, and business. You will learn to use the Python programming language to acquire, parse, and model data for informing business strategy. 

This is a fast-paced course with some prerequisites. Students should be comfortable with programming fundamentals, core Python syntax, and basic statistics. There is an option to complete up to 25 hours of online preparatory lessons. Talk to the General Assembly Admissions team to discuss your background and confirm if this is the right fit for you..

 

What you'll accomplish

A significant portion of the course is a hands- on approach to fundamental modeling techniques and machine learning algorithms. You’ll also practice communicating your results and insights by compiling technical documentation and a stakeholder presentation. Throughout this expert-designed program, you’ll:

  • Perform exploratory data analysis with Python.
  • Build and refine machine learning models to predict patterns
  • from data sets.
  • Communicate data-driven insights to technical and non-technical audiences alike.
  • Apply what you’ve learned to create a portfolio project: a predictive model that addresses a real-world data problem.

 

Why General Assembly

Since 2011, General Assembly has graduated more than 40,000 students worldwide from the full time & part time courses. During the 2020 hiring shutdown, GA's students, instructors, and career coaches never lost focus, and the KPMG-validated numbers in their Outcomes report reflect it. *For students who graduated in 2020 — the peak of the pandemic — 74.4% of those who participated in GA's full-time Career Services program landed jobs within six months of graduation. General Assembly is proud of their grads + teams' relentless dedication and to see those numbers rising. Download the report here.

 

Your next step? Submit an application to talk to the General Assembly Admissions team


 

Note: reviews are referenced from Career Karma - https://careerkarma.com/schools/general-assembly

 

General Assembly

General Assembly’s Data Analytics Immersive is designed for you to harness Excel, SQL, and Tableau to tell compelling stories with a data driven strategy. This program was created for analysts, digital marketers, sales managers, product managers, and data novices looking to learn the essentials of data analysis. 

 

What you'll accomplish

You will learn to use industry tools, Excel, and SQL to analyze large real world data sets and create data dashboards and visualizations to share your findings. The Data Analytics Accelerator culminates in a.

Throughout this expert-designed program, you’ll:

  • Use Excel, SQL, and Tableau to collect, clean, and analyze large data sets.
  • Present data-driven insights to key stakeholders using data visualization and dashboards.
  • Tell compelling stories with your data.
  • Graduate with a professional portfolio of projects that includes a capstone project applying rigorous data analysis techniques to solve a real-world problem

 

Why General Assembly

Since 2011, General Assembly has graduated more than 40,000 students worldwide from the full time & part time courses. During the 2020 hiring shutdown, GA's students, instructors, and career coaches never lost focus, and the KPMG-validated numbers in their Outcomes report reflect it. *For students who graduated in 2020 — the peak of the pandemic — 74.4% of those who participated in GA's full-time Career Services program landed jobs within six months of graduation. General Assembly is proud of their grads + teams' relentless dedication and to see those numbers rising. Download the report here.

 

Your next step? Submit an application to talk to the General Assembly Admissions team


 

Note: reviews are referenced from Career Karma - https://careerkarma.com/schools/general-assembly

 

General Assembly

General Assembly’s Data Science Immersive is a transformative course designed for you to get the necessary skills for a data scientist role in three months. 

The Data Science bootcamp is led by instructors who are expert practitioners in their field, supported by career coaches that work with you since day one and enhanced by a career services team that is constantly in talks with employers about their tech hiring needs.

 

What you'll accomplish

As a graduate, you will be ready to succeed in a variety of data science and advanced analytics roles, creating predictive models that drive decision-making and strategy throughout organizations of all kinds. Throughout this expert-designed program, you’ll:

  • Collect, extract, query, clean, and aggregate data for analysis.
  • Gather, store and organize data using SQL and Git.
  • Perform visual and statistical analysis on data using Python and its associated libraries and tools.
  • Craft and share compelling narratives through data visualization.
  • Build and implement appropriate machine learning models and algorithms to evaluate data science problems spanning finance, public policy, and more.
  • Compile clear stakeholder reports to communicate the nuances of your analyses.
  • Apply question, modeling, and validation problem-solving processes to data sets from various industries to provide insight into real-world problems and solutions.
  • Prepare for the world of work, compiling a professional-grade portfolio of solo, group, and client projects.

 

Why General Assembly

Since 2011, General Assembly has graduated more than 40,000 students worldwide from the full time & part time courses. During the 2020 hiring shutdown, GA's students, instructors, and career coaches never lost focus, and the KPMG-validated numbers in their Outcomes report reflect it. *For students who graduated in 2020 — the peak of the pandemic — 74.4% of those who participated in GA's full-time Career Services program landed jobs within six months of graduation. General Assembly is proud of their grads + teams' relentless dedication and to see those numbers rising. Download the report here.

 

Your next step? Submit an application to talk to the General Assembly Admissions team


 

Note: reviews are referenced from Career Karma - https://careerkarma.com/schools/general-assembly

 

General Assembly
Newsletter

Looking to level up your Data Wrangling career? Subscribe to Built In.

Careers

Careers Related to Data Wrangling

Jobs

Latest Data Science Jobs

Companies

Companies Hiring Data Scientists