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Google

Foundations: Data, Data, Everywhere

Google via Google Skills

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Overview

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Discover the power of data analytics and how it helps organizations improve processes, identify opportunities, and make informed decisions. This hands-on course introduces key data analytics topics and provides practical ways to accomplish common tasks using industry-standard tools. This is the first course in the Google Data Analytics Certificate, a series designed to prepare you for an introductory-level data analyst role.

Syllabus

  • Introducing data analytics and analytical thinking
    • Welcome to the Google Data Analytics Certificate
    • Course 1 overview
    • Introduction to the course
    • Get started with your Google Data Analytics Certificate
    • Evaluate your current data analytics skills
    • Data analytics in everyday life
    • Practice Quiz: Identify data types in a spreadsheet
    • New data perspectives
    • How data analysts approach tasks
    • Cassie: Dimensions of data analytics
    • Origins of the data analysis process
    • What is the data ecosystem?
    • How data informs better decisions
    • Data and gut instinct
    • Practice Quiz: Test your knowledge on the data ecosystem
    • Discover data skill sets
    • Key data analyst skills
    • Use data analytics skills in a business scenario
    • Practice Quiz: Test your knowledge on data analyst skills
    • All about thinking analytically
    • Explore core analytical skills
    • Use the five whys for root cause analysis
    • Data drives successful outcomes
    • Witness data magic
    • Practice Quiz: Test your knowledge on analytical thinking and outcomes
    • What to expect moving forward
    • Glossary terms from module 1
    • Assessment-taking strategies
    • Graded Quiz: Module 1 challenge
  • The wonderful world of data
    • Learn about data phases and tools
    • Stages of the data life cycle
    • Variations of the data life cycle
    • Practice Quiz: Test your knowledge on the data life cycle
    • The phases of data analysis and this program
    • More on the phases of data analysis and this program
    • Molly: Example of the data analysis process
    • Practice Quiz: Test your knowledge on the data analysis process
    • Explore data analyst tools
    • Key data analyst tools
    • Choose the right tool for the job
    • Practice Quiz: Self-Reflection: Review past concepts
    • Practice Quiz: Test your knowledge on the data analysis toolbox
    • Glossary terms from module 2
    • Graded Quiz: Module 2 challenge
  • Set up your data analytics toolbox
    • The ins and outs of core data tools
    • Step-by-Step: Make spreadsheets your friend
    • Make spreadsheets your friend
    • Practice Quiz: Hands-On Activity: Generate a chart from a spreadsheet
    • More spreadsheet resources
    • Practice Quiz: Test your knowledge on spreadsheet basics
    • SQL in action
    • SQL guide: Getting started
    • Angie: Everyday struggles when learning new skills
    • Endless SQL possibilities
    • Become a data viz whiz
    • Plan a data visualization
    • Lilah: The power of a visualization
    • Practice Quiz: Test your knowledge on SQL and data visualization
    • Glossary terms from module 3
    • Graded Quiz: Module 3 challenge
  • Become a fair and impactful data professional
    • Let's get down to business
    • The job of a data analyst
    • Joey: Path to becoming a data analyst
    • Practice Quiz: Self-Reflection: Business use of data
    • Tony: Supporting careers in data analytics
    • The power of data in business
    • Rachel: Data detectives
    • Understand data and fairness
    • Consider fairness
    • Practice Quiz: Self-Reflection: Business cases
    • Optional refresher: Alex and the importance of data ethics
    • Practice Quiz: Test your knowledge on making fair business decisions
    • Data analysts in different industries
    • Data analyst roles and job descriptions
    • Samah: Interview best practices
    • Beyond the numbers: A data analyst journey
    • Glossary terms from module 4
    • Graded Quiz: Module 4 challenge
    • Course 1 glossary
    • Congratulations! Course wrap-up
    • Coming up next...
    • Course 1 resources and citations

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