Description
This is the first course in the Google Data Analytics Certificate. These courses will equip you with the skills you need to apply to introductory-level data analyst jobs. Organizations of all kinds need data analysts to help them improve their processes, identify opportunities and trends, launch new products, and make thoughtful decisions. In this course, you’ll be introduced to the world of data analytics through hands-on curriculum developed by Google. The material shared covers plenty of key data analytics topics, and it’s designed to give you an overview of what’s to come in the Google Data Analytics Certificate. Current Google data analysts will instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources.
Knowledge
- Define and explain key concepts involved in data analytics including data, data analysis, and data ecosystem
- Conduct an analytical thinking self assessment giving specific examples of the application of analytical thinking
- Discuss the role of spreadsheets, query languages, and data visualization tools in data analytics
- Describe the role of a data analyst with specific reference to jobs/positions
Outline
- Introducing data analytics
- Welcome to the Google Data Analytics Certificate
- Introduction to the course
- Data analytics in everyday life
- Cassie: Dimensions of data analytics
- What is the data ecosystem?
- How data informs better decisions
- What to expect moving forward
- Program description and course syllabus
- Learning Log: Think about data in daily life
- Helpful resources to get started
- Deciding if you should take the speed track
- Optional: Your diagnostic quiz score and what it means
- Case Study: New data perspectives
- Learning Log: Consider how data analysts approach tasks
- Data and gut instinct
- Origins of the data analysis process
- Program surveys
- Discussion forums
- Get to know your classmates
- Glossary: Terms and definitions
- Optional: Familiar with data analytics? Take our diagnostic quiz
- Test your knowledge on the data ecosystem
- Test your knowledge on proper use of the discussion forum
- *Weekly challenge 1*
- All about analytical thinking
- Discovering data skill sets
- Key data analyst skills
- All about thinking analytically
- Exploring core analytical skills
- Using data to drive successful outcomes
- Real-world data magic
- Learning Log: Explore data from your daily life
- Learning Log: Reflect on your skills and expectations
- Glossary: Terms and definitions
- Get a read on your analytical skills
- Test your knowledge on analytical thinking
- Test your knowledge on outcomes
- *Weekly challenge 2*
- The wonderful world of data
- Learning about data phases and tools
- Stages of the data life cycle
- Six phases of data analysis
- Molly: Example of the data process
- Exploring data analyst tools
- Variations of the data life cycle
- The data analysis process and this program
- Learning Log: Organize your data in a table
- Key data analyst tools
- Choosing the right tool for the job
- Glossary: Terms and definitions
- Self-Reflection: Collecting data
- Test your knowledge on the data life cycle
- Test your knowledge on the data analysis process
- Self-Reflection: Reviewing past concepts
- Test your knowledge on the data analysis toolbox
- *Weekly challenge 3*
- Set up your toolbox
- The ins and outs of core data tools
- Columns and rows and cells, oh my!
- SQL in action
- Angie: Everyday struggles when learning new skills
- Becoming a data viz whiz
- Lilah: The power of a visualization
- More spreadsheet resources
- SQL Guide: Getting started
- Endless SQL possibilities
- Planning a data visualization
- Glossary: Terms and definitions
- Hands-On Activity: Generating a chart from a spreadsheet
- Test your knowledge on spreadsheet basics
- Test your knowledge on SQL
- Test your knowledge on visualizing data
- *Weekly challenge 4*
- Endless career possibilities
- Let's get down to business
- The job of a data analyst
- Joey: Path to becoming a data analyst
- Tony: Supporting careers in data analytics
- The power of data in business
- Rachel: Data detectives
- Understanding data and fairness
- Alex: Fair and ethical data decisions
- Data analysts in different industries
- Samah: Interview best practices
- Weekly wrap-up
- Congrats! Course wrap-up
- Learning Log: Reflect on the data analysis process
- Data analyst roles and job descriptions
- Beyond the Numbers: A Data Analyst Journey
- Glossary: Terms and definitions
- Test-taking strategies
- Self-Reflection: Business use of data
- Self-Reflection: Business cases
- Test your knowledge on making fair business decisions
- *Weekly challenge 5*
- *Course challenge*
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