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Go Beyond the Numbers: Translate Data into Insights

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Overview

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Create compelling data stories by practicing exploratory data analysis and creating effective data visualizations to communicate key insights. Google employees guide you with hands-on activities and real-world examples, helping you build essential data analytics skills for your career. This is the third course in the Google Advanced Data Analytics Certificate, a series designed to prepare you for an advanced data analytics role.

Syllabus

  • Find and share stories using data
    • Introduction to Course 2
    • Course 2 overview
    • Robb: Obstacles and achievements
    • Welcome to module 1
    • Find stories using the six exploratory data analysis practices
    • Case study: Deloitte
    • Benj: Data science and storytelling
    • Practice Quiz: Test your knowledge: Tell stories with data
    • Combine PACE and EDA practices
    • Reference guide: The EDA process
    • PACE with data visualizations
    • Practice Quiz: Test your knowledge: How PACE informs EDA and data visualizations
    • Wrap-up
    • Glossary terms from module 1
    • Graded Quiz: Module 1 challenge
  • Explore raw data
    • Welcome to module 2
    • Yaser: Understand data to drive value
    • Where the data comes from
    • Reference guide: Import datasets with Python
    • Reference guide: Pandas methods for the discovery of a dataset
    • EDA using basic data functions with Python
    • Activity: Explore raw data Part - A
    • Practice Quiz: Test your knowledge: Discovering is the beginning of an investigation
    • Discover what is missing from your dataset
    • Reference guide: Datetime manipulation
    • Date string manipulations with Python
    • Practice Quiz: Test your knowledge: Understand data format
    • Use structuring methods to establish order in your dataset
    • Reference guide: Pandas tools for structuring a dataset
    • Explore raw data
    • EDA structuring with Python
    • Histograms
    • Activity: Explore raw data Part - B
    • Exemplar: Explore raw data
    • Practice Quiz: Test your knowledge: Create structure from raw data
    • Wrap-up
    • Glossary terms from module 2
    • Graded Quiz: Module 2 challenge
  • Clean your data
    • Welcome to module 3
    • Methods for handling missing data
    • Data deduplication with Python
    • Work with missing data in a Python notebook
    • Remy: A day in the life of a data professional
    • Activity: Clean your data - Part A
    • Practice Quiz: Test your knowledge: The challenge of missing or duplicate data
    • Account for outliers
    • Protect the people behind the data
    • Identify and deal with outliers in Python
    • Reference guide: How to handle outliers
    • Practice Quiz: Test your knowledge: The ins and outs of data outliers
    • Sort numbers versus names
    • Label encoding in Python
    • Other approaches to data transformation
    • Reference guide: Data cleaning in Python
    • Practice Quiz: Test your knowledge: Changing categorical data to numerical data
    • The value of input validation
    • Input validation with Python
    • Activity: Clean your data - Part B
    • Exemplar: Clean your data
    • Practice Quiz: Test your knowledge: Input validation
    • Wrap-up
    • Glossary terms from module 3
    • Graded Quiz: Module 3 challenge
  • Data visualizations and presentations
    • Welcome to module 4
    • Tableau Public overview
    • How to sign on to Tableau Public
    • The visualization life cycle
    • Download your datasets and begin presenting with Tableau
    • Follow-along guide: Work with Tableau, Part 1
    • Work with Tableau, Part 1
    • Practice Quiz: Test your knowledge: Present a story
    • Follow-along guide: Work with Tableau, Part 2
    • Work with Tableau, Part 2
    • Drew: Explore the possibilities of data
    • Practice Quiz: Activity: Design a bar graph that tells a story in Tableau Public
    • Activity Exemplar: Design a bar graph that tells a story in Tableau Public
    • Follow-along guide: Craft compelling stories with Tableau
    • Craft compelling stories with Tableau
    • The top five data visualization resources
    • Follow-along guide: Present like a pro with Tableau
    • Present like a pro with Tableau
    • Practice Quiz: Activity: Build an interactive dashboard in Tableau Public
    • Activity Exemplar: Build an interactive dashboard in Tableau Public
    • Practice Quiz: Test your knowledge: Advanced Tableau
    • Wrap-up
    • Glossary terms from module 4
    • Graded Quiz: Module 4 challenge
  • Course 2 end-of-course project
    • Welcome to module 5
    • Introduction to your Course 2 end-of-course portfolio project
    • Explore your Course 2 workplace scenarios
    • Course 2 end-of-course portfolio project overview: Automatidata
    • Practice quiz: Activity: Create your Course 2 Automatidata project
    • Activity: Automatidata project lab 2
    • Activity Exemplar: Create your Course 2 Automatidata project
    • Exemplar: Automatidata project lab 2
    • Course 2 end-of-course portfolio project overview: TikTok
    • Practice quiz: Activity: Create your Course 2 TikTok project
    • Activity: TikTok project lab 2
    • Activity Exemplar: Create your Course 2 TikTok project
    • Exemplar: TikTok project lab 2
    • Course 2 end-of-course portfolio project overview: Waze
    • Practice quiz: Activity: Create your Course 2 Waze project
    • Activity: Waze project lab 2
    • Activity Exemplar: Create your Course 2 Waze project
    • Exemplar: Waze project lab 2
    • End-of-course project wrap-up and tips for ongoing career success
    • Graded Quiz: Assess your Course 2 end-of-course project
    • Course 2 glossary
    • Course wrap-up
    • Get started on the next course
    • Course 2 resources and citations

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