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Process Data from Dirty to Clean

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Overview

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Learn how to to check and clean data using spreadsheets and SQL. Verify and report cleaning results, guided by Google data analysts who provide hands-on tasks with essential tools. No previous experience is necessary to build your understanding. This is the fourth course in the Google Data Analytics Certificate, a series designed to prepare you for an introductory-level data analyst role.

Syllabus

  • The importance of integrity
    • Introduction to data integrity
    • Course 4 overview
    • Why data integrity is important
    • More about data integrity and compliance
    • Balance objectives with data integrity
    • Well-aligned objectives and data
    • Practice Quiz: Test your knowledge on data integrity and analytics objectives
    • Deal with insufficient data
    • When you find an issue with your data
    • The importance of sample size
    • Calculate sample size
    • Practice Quiz: Self-Reflection: Pre-cleaning activities
    • Practice Quiz: Test your knowledge on insufficient data
    • Using statistical power
    • When data isn't readily available
    • Determine the best sample size
    • Sample size calculator
    • Practice Quiz: Test your knowledge on testing your data
    • Evaluate data reliability
    • All about margin of error
    • Practice Quiz: Test your knowledge on margin of error
    • Glossary terms from module 1
    • Graded Quiz: Module 1 challenge
  • Clean data for more accurate insights
    • Clean it up!
    • Why data cleaning is critical
    • Angie: I love cleaning data
    • What is dirty data?
    • Recognize and remedy dirty data
    • Practice Quiz: Test your knowledge on data cleaning
    • Data-cleaning tools and techniques
    • Clean data from multiple sources
    • Common data-cleaning pitfalls
    • Practice Quiz: Hands-On Activity: Cleaning data with spreadsheets
    • Practice Quiz: Test your knowledge on the first steps toward clean data
    • Step-by-Step guide: Data-cleaning features in spreadsheets
    • Data-cleaning features in spreadsheets
    • Step-by-Step: Optimize the data-cleaning process
    • Optimize the data-cleaning process
    • Workflow automation
    • Step-by-Step: Different data perspectives
    • Different data perspectives
    • Step-by-Step: Even more data-cleaning techniques
    • Even more data-cleaning techniques
    • Working with .csv files
    • Practice Quiz: Hands-On Activity: Clean data with spreadsheet functions
    • Develop your approach to cleaning data
    • Practice Quiz: Test your knowledge on cleaning data in spreadsheets
    • Glossary terms from module 2
    • Graded Quiz: Module 2 challenge
  • Data cleaning with SQL
    • Use SQL to clean data
    • Sally: For the love of SQL
    • Understand SQL capabilities
    • How a junior data analyst uses SQL
    • Spreadsheets versus SQL
    • SQL dialects and their uses
    • Review: Set up your BigQuery account
    • Review: Get started with BigQuery
    • Practice Quiz: Hands-On Activity: Processing time with SQL
    • Optional: Upload the customer dataset to BigQuery
    • Widely used SQL queries
    • Evan: Having fun with SQL
    • Clean string variables using SQL
    • Practice Quiz: Hands-On Activity: Clean data using SQL
    • Practice Quiz: Test your knowledge on SQL queries
    • Optional: Upload the store transactions dataset to BigQuery
    • Advanced data-cleaning functions, part 1
    • Advanced data-cleaning functions, part 2
    • Practice Quiz: Self-Reflection: Challenges with SQL
    • Glossary terms from module 3
    • Graded Quiz: Module 3 challenge
  • Verify and report on cleaning results
    • Verify and report results
    • Confirm data-cleaning meets business expectations
    • Step-by-Step: Verification of data cleaning
    • Verification of data cleaning
    • Data-cleaning verification checklist
    • Practice Quiz: Test your knowledge on manual data cleaning
    • Capture cleaning changes
    • Embrace changelogs
    • Practice Quiz: Self-Reflection: Creating a changelog
    • Why documentation is important
    • Feedback and cleaning
    • Advanced functions for speedy data cleaning
    • Practice Quiz: Test your knowledge on documenting the cleaning process
    • Glossary terms from module 4
    • Graded Quiz: Module 4 challenge
  • Add data to your resume
    • Make your resume unique
    • Joseph: Black and African American inclusion in the data industry
    • The importance of diversity on a data analytics team
    • Add technical skills to your resume
    • Where does your interest lie?
  • Course wrap-up
    • Course 4 glossary
    • Congratulations! Course wrap-up
    • Coming up next ...
    • Course 4 resources and citations

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