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Process Data from Dirty to Clean

Google Career Certificates

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 concepts and tools that data analysts use in their work. You’ll learn how to check and clean your data using spreadsheets and SQL, as well as how to verify and report your data cleaning results. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources.

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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 concepts and tools that data analysts use in their work. You’ll learn how to check and clean your data using spreadsheets and SQL, as well as how to verify and report your data cleaning results. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources.

Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary.

By the end of this course, learners will:

- Check for data integrity.

- Apply data cleaning techniques using spreadsheets.

- Develop basic SQL queries for use on databases.

- Use basic SQL functions to clean and transform data.

- Verify the results of cleaning data.

- Write an effective data cleaning report

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What's inside

Syllabus

The importance of integrity
Data integrity is critical to successful analysis. In this part of the course, you’ll explore methods and steps that analysts take to check their data for integrity. This includes knowing what to do when you don’t have enough data. You’ll also learn about random samples and understand how to avoid sampling bias. All of these methods will also help you ensure your analysis is successful.
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Explores industry-standard methods and tools for data cleaning
Teaches SQL and spreadsheet data cleaning techniques used by current Google data analysts
Develops skills for checking data integrity, cleaning data, and reporting data cleaning results
Taught by expert Google data analysts, ensuring relevance and accuracy
Provides hands-on practice with real-world data cleaning tasks
Part of the Google Data Analytics Certificate program, indicating comprehensiveness and structure

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Reviews summary

Practical data cleaning with sql and spreadsheets

According to students, "Process Data from Dirty to Clean" is a highly practical course that effectively equips learners with essential data cleaning skills. Many commend its hands-on approach, particularly the engaging labs and assignments focusing on real-world dirty data scenarios. Learners find the SQL section particularly valuable for transforming and cleaning datasets, while the spreadsheet techniques offer a solid foundation, though some experienced users found this part less challenging. The course benefits from clear explanations by Google data analysts, making complex topics accessible. While some noted the pacing can be slow for experienced learners, it generally provides a comprehensive introduction to data integrity and cleaning, making it a crucial step for aspiring data analysts. Recent reviews also suggest continuous improvement.
Covers fundamental spreadsheet cleaning, suitable for beginners.
"While the spreadsheet cleaning was covered, it felt a bit too basic for me, but I imagine it's great for absolute beginners."
"The spreadsheet cleaning was a solid refresher, though I already knew most of it. Still, well-explained for newcomers."
"For someone new to data, the spreadsheet section provides a good foundation, but it's not designed for advanced users."
Optional resume building module provides valuable career tips.
"The optional resume building module was a pleasant surprise and very helpful for my job search efforts."
"I truly appreciated the practical tips on how to highlight my data analytics skills effectively on my resume."
"The career advice and resume guidance were a beneficial addition, helping me prepare for job applications."
Instructors provide clear, engaging, and insightful guidance.
"The Google instructors really break down complex topics into easy-to-understand modules, making learning smooth."
"Their insights from actually working at Google made the content feel very authentic and added significant value."
"I found the instructors very engaging and clear in their explanations, especially when dealing with tricky data problems."
Recent updates reflect ongoing refinement and responsiveness to feedback.
"It's great to see that recent updates have made the course even more relevant and addressed previous feedback."
"The course materials feel fresh and current, suggesting Google is actively maintaining and improving the content."
"I noticed improvements in explanations compared to what friends told me about older versions, indicating updates."
Provides a valuable introduction to SQL for data cleaning.
"The SQL section for data cleaning was incredibly useful and well-explained, a definite highlight of the course for me."
"I finally understood how to use SQL functions to clean data after this course. It was a game-changer for my skills."
"My understanding of data manipulation for cleaning purposes deepened significantly thanks to the SQL part of the course."
Excellent practical exercises for real-world data cleaning.
"The hands-on activities really helped me grasp the concepts of cleaning data, especially the SQL labs."
"I truly appreciate how practical this course is; it feels like real-world scenarios rather than just theoretical exercises."
"The examples of messy data were so realistic. I can immediately apply these techniques to my job. A strong practical foundation."
Pacing can be slow for experienced learners, depth is introductory.
"Sometimes the pace felt a bit slow, especially in the early spreadsheet modules, which I found myself skipping."
"I wished for more advanced SQL cleaning techniques; it mostly covers the basics you'd expect from an intro course."
"It's a great introduction, but don't expect to become an SQL expert from this course alone; consider it a starting point."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Process Data from Dirty to Clean with these activities:
Review spreadsheet formulas
Ensure you have a strong foundation in spreadsheet formulas before beginning the course.
Browse courses on Spreadsheets
Show steps
  • Open a spreadsheet.
  • Review the basic formulas.
  • Practice using the formulas.
Watch tutorials on data cleaning techniques
Gain a deeper understanding of data cleaning techniques by watching video tutorials.
Browse courses on Data Cleaning
Show steps
  • Visit the YouTube website.
  • Search for "data cleaning tutorials".
  • Watch several tutorials.
  • Take notes on the techniques you learn.
Review Data Science for Business
Reinforce your understanding of data science fundamentals by reviewing a classic text in the field.
View Data Science for Business: What You Need to... on Amazon
Show steps
  • Read the preface and introduction.
  • Read Chapter 1: Data Science in the Real World.
  • Read Chapter 2: Data Science Process Overview.
  • Read Chapter 3: Data.
  • Read Chapter 4: Modeling.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Join a data analytics study group
Collaborate with peers to discuss course concepts and work on projects together.
Browse courses on Data Analytics
Show steps
  • Post a message on the course discussion board.
  • Meet up with other students in person or online.
  • Set a regular meeting time.
  • Discuss course concepts and work on projects together.
  • Attend all study group meetings.
Solve SQL practice problems
Sharpen your SQL skills by solving practice problems.
Browse courses on SQL
Show steps
  • Visit the LeetCode website.
  • Create an account.
  • Select the "SQL" category.
  • Solve the "Easy" problems.
  • Move on to the "Medium" problems when you feel comfortable with the "Easy" problems.
Attend a data analytics workshop
Network with other data analytics professionals and learn about the latest trends in the field.
Browse courses on Data Analytics
Show steps
  • Find a data analytics workshop.
  • Register for the workshop.
  • Attend the workshop.
  • Take notes.
  • Ask questions.
Create a data cleaning report
Demonstrate your understanding of data cleaning by creating a report that highlights the techniques you used and the results you achieved.
Browse courses on Data Cleaning
Show steps
  • Choose a dataset to clean.
  • Apply data cleaning techniques to the dataset.
  • Write a report that describes the techniques you used and the results you achieved.
  • Share your report with others.
Design a data dashboard
Apply your data analytics skills to create a visually appealing and informative dashboard.
Browse courses on Data Visualization
Show steps
  • Choose a dataset.
  • Design the dashboard.
  • Create the dashboard.
  • Share the dashboard with others.

Career center

Learners who complete Process Data from Dirty to Clean will develop knowledge and skills that may be useful to these careers:
Data Analyst
A Data Analyst is a professional who analyzes data, finds trends, and generates insights that can be used to make better decisions in business.
See salaries and explore the career path for Data Analyst
Data Scientist
Data Scientists use their knowledge of math, statistics, and programming to extract insights from data that can help businesses make better decisions.
See salaries and explore the career path for Data Scientist
Business Analyst
Business Analysts identify opportunities to improve business processes and recommend solutions.
See salaries and explore the career path for Business Analyst
Market Research Analyst
Market Research Analysts collect, analyze, and interpret data to help businesses understand their customers and make informed decisions about products, services, and marketing strategies.
See salaries and explore the career path for Market Research Analyst
Financial Analyst
Financial Analysts use their knowledge of finance and economics to analyze financial data and make recommendations for investments.
See salaries and explore the career path for Financial Analyst
Operations Research Analyst
Operations Research Analysts use their knowledge of mathematics and statistics to solve complex problems in a variety of industries, including manufacturing, healthcare, and transportation.
See salaries and explore the career path for Operations Research Analyst
Statistician
Statisticians collect, analyze, interpret, and present data to help businesses make informed decisions.
See salaries and explore the career path for Statistician
Database Administrator
Database Administrators are responsible for the design, implementation, and maintenance of databases.
See salaries and explore the career path for Database Administrator
Software Engineer
Software Engineers design, develop, and test software applications.
See salaries and explore the career path for Software Engineer
Data Engineer
Data Engineers are responsible for building and maintaining the infrastructure that supports data analysis.
See salaries and explore the career path for Data Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models.
See salaries and explore the career path for Machine Learning Engineer
Actuary
Actuaries use their knowledge of mathematics and statistics to assess risk and financial implications.
See salaries and explore the career path for Actuary
Auditor
Auditors examine financial records to ensure that they are accurate and compliant with regulations.
See salaries and explore the career path for Auditor
Risk Analyst
Risk Analysts identify and assess risks that could impact an organization.
See salaries and explore the career path for Risk Analyst
Compliance Officer
Compliance Officers ensure that an organization complies with laws and regulations.
See salaries and explore the career path for Compliance Officer

Reading list

We've selected 13 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Process Data from Dirty to Clean.
Cover image
Data Science for Business
Save
Provides a comprehensive overview of data science, including data cleaning, analysis, and visualization. It valuable resource for anyone who wants to learn more about data science and its applications in business.
Data Science for Business: What You Need to Know...
Paperback
$$
Data Science for Business: What You Need to Know...
Kindle Edition
$$
Cover image
Data Science from Scratch
Save
Provides a comprehensive overview of data science, including data cleaning, analysis, and visualization. It valuable resource for anyone who wants to learn more about data science and its applications in various fields.
Data Science from Scratch: First Principles with...
Paperback
$$
Data Science from Scratch: First Principles with...
Kindle Edition
$$
Data Science from Scratch: First Principles with...
Paperback
$$
Cover image
Data Quality
Save
Provides a practical guide to data cleaning, including techniques for identifying and correcting errors in data. It valuable resource for anyone who wants to learn more about data cleaning and its importance in data analysis.
Data Quality For The Information Age (Artech House...
Hardcover
$$$
Data Quality Management and Technology
Hardcover
$$
Data Quality: The Field Guide by Thomas Redman PhD...
Paperback Bunko
$$$$
Cover image
Hands-On Machine Learning with Scikit-Learn, Keras,...
Save
Provides a comprehensive overview of machine learning, including data cleaning, analysis, and visualization. It valuable resource for anyone who wants to learn more about machine learning and its applications in various fields.
Hands-On Machine Learning with Scikit-Learn, Keras,...
Paperback
$$
Hands-On Machine Learning with Scikit-Learn, Keras,...
Paperback
$$$
Hands-On Machine Learning with Scikit-Learn, Keras,...
Kindle Edition
$$
Cover image
Deep Learning with PyTorch
Save
Provides a comprehensive overview of PyTorch, including data cleaning, analysis, and visualization. It valuable resource for anyone who wants to learn more about PyTorch and its applications in various fields.
Deep Learning with PyTorch: Build, train, and tune...
Paperback
$$
Deep Learning with PyTorch: Build, train, and tune...
Kindle Edition
$$
Cover image
Doing Data Science
Save
Provides a comprehensive overview of SQL, including how to use SQL to clean and analyze data. It valuable resource for anyone who wants to learn more about SQL and its applications in data analysis.
Doing Data Science: Straight Talk from the Frontline
Paperback
$$
(中文) 数据科学实战 (图灵程序设计丛书) (Chinese Edition)
Kindle Edition
$
Cover image
Data Manipulation with R
Save
Provides a comprehensive overview of data manipulation with R, including how to use R to clean and analyze data. It valuable resource for anyone who wants to learn more about R and its applications in data analysis.
Data Manipulation with R (Use R!)
Paperback
$$$
Data Manipulation with R (Use R!)
Kindle Edition
$$$
Cover image
Python for Data Analysis
Save
Provides a comprehensive overview of data analysis with Python, including how to use Python to clean and analyze data. It valuable resource for anyone who wants to learn more about Python and its applications in data analysis.
Python for Data Analysis
Paperback
Check
Python for Data Analysis
Kindle Edition
Check
Cover image
Deep Learning with Python, Second Edition
Save
Provides a comprehensive overview of deep learning, including data cleaning, analysis, and visualization. It valuable resource for anyone who wants to learn more about deep learning and its applications in various fields.
Deep Learning with Python, Second Edition
Paperback
$$
Deep Learning with Python, Second Edition
Kindle Edition
$$
Cover image
Build a Large Language Model (From Scratch)
Save
Provides a comprehensive overview of machine learning for data science, including how to use machine learning to clean and analyze data. It valuable resource for anyone who wants to learn more about machine learning and its applications in data analysis.
Build a Large Language Model (From Scratch)
Paperback
Check
Build a Large Language Model (From Scratch)
Kindle Edition
Check
Cover image
Data Visualization
Save
Provides a comprehensive overview of data visualization, including how to use data visualization to communicate insights from data. It valuable resource for anyone who wants to learn more about data visualization and its applications in data analysis.
Data Visualization: A Successful Design Process: A...
Paperback
$
Data Visualization: Representing Information on...
Kindle Edition
$$$
Data Visualization Design and Utilization (Korean...
Paperback
$$$
Cover image
Deep Learning
Save
Provides a comprehensive overview of deep learning for data science, including how to use deep learning to clean and analyze data. It valuable resource for anyone who wants to learn more about deep learning and its applications in data analysis.
Deep Learning
Paperback
$$$
Deep Learning (Adaptive Computation and Machine...
Hardcover
$$$
Deep Learning (Adaptive Computation and Machine...
Kindle Edition
$$$
Cover image
Daphne Draws Data
Save
Provides a comprehensive overview of storytelling with data, including how to use data to create compelling and persuasive stories. It valuable resource for anyone who wants to learn more about storytelling with data and its applications in data analysis.
Daphne Draws Data: A Storytelling with Data...
Hardcover
$$

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Level
Introductory
Via
Coursera
Institution
Google
Instructor
Google Career Certificates
Language
English
Transcripts
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Process Data from Dirty to Clean belongs to the following collections:
  1. Google Data Analytics
  2. Google Data Analytics
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Explores industry-standard methods and tools for data cleaning
Teaches SQL and spreadsheet data cleaning techniques used by current Google data analysts
Develops skills for checking data integrity, cleaning data, and reporting data cleaning results
Taught by expert Google data analysts, ensuring relevance and accuracy
Provides hands-on practice with real-world data cleaning tasks
Part of the Google Data Analytics Certificate program, indicating comprehensiveness and structure
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