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Google

Foundations of Data Science

Google via Google Skills

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Overview

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Begin your journey into advanced data analytics and discover how data professionals leverage powerful techniques like data storytelling, statistics, and machine learning to drive business decisions. This course explores the role of data professionals in the workplace and introduces the PACE (Plan, Analyze, Construct, Execute) project workflow, providing hands-on activities and real-world examples to enhance your data analytics skills. This is the first of seven courses in the Google Advanced Data Analytics Certificate, a series designed to prepare you for an entry-level data scientist or advanced-level data analyst role.

Syllabus

  • Introduction to data science concepts
    • Welcome to the Google Advanced Data Analytics Certificate
    • Google Advanced Data Analytics Certificate overview
    • Course 1 overview
    • Introduction to Course 1
    • Get started with your Google Advanced Data Analytics Certificate
    • Welcome to module 1
    • Data discourse over the years
    • Explore your data toolbox
    • Prepare to assess your readiness for the Google Advanced Data Analytics Certificate
    • Practice Quiz: Assess your readiness for the Advanced Analytics Data Certificate
    • Understand your readiness score
    • Wrap-up
    • Lois-An: Navigate your data career with curiosity
    • Prepare for your first assessment
    • Glossary terms from module 1
    • Graded Quiz: Module 1 challenge
  • The impact of data today
    • Welcome to module 2
    • Adrian: Create a data-driven business solution
    • Data-driven careers drive modern business
    • Profiles of data professionals
    • Where data makes a difference for the future
    • Leverage data analysis in nonprofits
    • Practice Quiz: Test your knowledge: Data-driven careers
    • The top skills needed for a data career
    • Ideal qualities for data analytics professionals
    • Volunteer data skills to make a positive impact
    • Important ethical considerations for data professionals
    • Critical data security and privacy principles
    • The practices and principles of good data stewardship
    • Practice Quiz: Test your knowledge: Data career skills
    • The data professional career space
    • Build the perfect data team
    • Practice Quiz: Activity: Organize your data team
    • Activity Exemplar: Organize your data team
    • Practice Quiz: Test your knowledge: Work in the field
    • Wrap-up
    • Glossary terms from module 2
    • Graded Quiz: Module 2 challenge
  • Your career as a data professional
    • Welcome to module 3
    • Cassie: A lifelong love of data
    • The future of data careers
    • Current and future tools
    • How data professionals use AI
    • Practice Quiz: Activity: Write prompts for Gemini
    • The places you’ll go...
    • Practice Quiz: Test your knowledge: Trajectory of the field
    • Wrap-up
    • Glossary terms from module 3
    • Graded Quiz: Module 3 challenge
  • Data applications and workflow
    • Welcome to module 4
    • Hautahi: Importance of communication in a data science career
    • Introduction to PACE
    • The PACE Stages
    • Practice Quiz: Test your knowledge: The data project workflow
    • Key elements of communication
    • Best communication practices for data professionals
    • Practice Quiz: Activity: Communicate with stakeholders in different roles
    • Activity Exemplar: Communicate with stakeholders in different roles
    • Communication drives PACE
    • Elements of successful communication
    • Practice Quiz: Test your knowledge: Elements of communication
    • Connect PACE with upcoming course themes
    • The value of the PACE strategy document
    • Communicate objectives with a project proposal
    • Connect PACE with executive summaries
    • Practice Quiz: Activity: Create a project proposal
    • Activity Exemplar: Create a project proposal
    • Practice Quiz: Test your knowledge: Communicate like a data professional
    • Wrap-up
    • Glossary terms from module 4
    • Graded Quiz: Module 4 challenge
  • Course 1 end-of-course project
    • The value of a portfolio
    • Welcome to module 5
    • Introduction to your Course 1 end-of-course portfolio project
    • Review pandas
    • End-of-course portfolio project introduction
    • Explore your Course 1 workplace scenarios
    • Course 1 end-of-course portfolio project overview: Automatidata
    • Practice Quiz: Activity: Create your Course 1 Automatidata project
    • Activity: Automatidata project lab 1
    • Activity Exemplar: Create your Course 1 Automatidata project
    • Exemplar: Automatidata project lab 1
    • Course 1 end-of-course portfolio project overview: TikTok
    • Practice Quiz: Activity: Create your Course 1 TikTok project
    • Activity: TikTok project lab 1
    • Activity Exemplar: Create your Course 1 TikTok project
    • Exemplar: TikTok project lab 1
    • Course 1 end-of-course portfolio project overview: Waze
    • Practice Quiz: Activity: Create your Course 1 Waze project
    • Activity: Waze project lab 1
    • Activity Exemplar: Create your Course 1 Waze project
    • Exemplar: Waze project lab 1
    • End-of-course project wrap-up and tips for ongoing career success
    • Graded Quiz: Assess your Course 1 end-of-course project
    • Course 1 glossary
    • Course wrap-up
    • Get started on the next course
    • Course 1 resources and citations

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