What Is Data Wrangling? The Key to Clean Data (VIDEO)
Getting into data analysis or data science? Then you NEED to understand data wrangling - the secret sauce that turns raw, messy data into a reliable foundation for analysis!
![[Video thumbnail] Unlock data wrangling!](https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://images.ctfassets.net/wp1lcwdav1p1/3yU43p9QF7QkuibusETqUm/9b27304e5885de450e408ee449565193/Unlock__Data_Wrangling_.jpg?auto=format%2Ccompress&dpr=1&w=750&h=450&q=60)
This video breaks down:
What data wrangling IS (and why it matters SO much!)
The 4 Key Steps of Data Wrangling: Discovery, Transformation, Validation, and Publishing
How data wrangling ensures accurate, actionable insights from your data
Don't let messy data derail your analysis! Build your data-wrangling skills and unlock the true potential of your data. Ready to level up your data skills? Check out these recommended courses for expert guidance on data wrangling techniques and tools.
course
Process Data from Dirty to Clean
This is the fourth course in the Google Data Analytics Certificate. In this course, you’ll continue to build your understanding of data analytics and the ...
4.8
Beginner level
Average time: 20 hour(s)
Learn at your own pace
Skills you'll build:
Google Sheets, SQL, Data Validation, Spreadsheet Software, Microsoft Excel, Data Cleansing, Data Analysis, Data Manipulation, Data Integrity, Data Quality, Data Transformation, Sampling (Statistics)
professional certificate
DeepLearning.AI Data Engineering
Learn the principles of effective data engineering. Build your skills in the high-demand field of data engineering and learn how you can deliver real business value by applying a core set of principles and strategies for developing data systems.
4.8
Intermediate level
Average time: 3 month(s)
Learn at your own pace
Skills you'll build:
Data Management, Data Pipelines, Query Languages, Data Warehousing, Amazon Web Services, Data Architecture, Data Management Platforms, Data Engineering, DataOps, Extract, Transform, Load, Requirements Analysis, AWS Kinesis, Data Storage, Data Lakes, Data Modeling, Apache Spark, Infrastructure as Code (IaC), Data Orchestration, Data transformation, Apache Airflow, Translating requirements into tool and technology choices, The principles of good data architecture, AWS cloud fundamentals, Thinking like a data engineer, Requirements Gathering, Feature Engineering, Spark and PySpark, Data Transformation, Batch and Streaming Ingestion, Networking on the Cloud, Data orchestration, Advanced SQL, Data storage fundamentals, Streaming queries with Apache Flink, Data warehouse / data lake / data lakehouse architectures
Keep reading
- March 5, 2025
- January 30, 2025
- January 15, 2025
- March 11, 2025
- February 13, 2025
- October 4, 2024
Coursera Staff
Editorial Team
Coursera’s editorial team is comprised of highly experienced professional editors, writers, and fact...
This 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.
Advance your career with top-rated exam prep courses today.
Unlock unlimited learning and 10,000+ courses for $25/month, billed annually.
