- Level Foundation
- Duration 22 hours
- Course by Google
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Offered by
About
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. Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary. By the end of this course, you will: - Gain an understanding of the practices and processes used by a junior or associate data analyst in their day-to-day job. - Learn about key analytical skills (data cleaning, data analysis, data visualization) and tools (spreadsheets, SQL, R programming, Tableau) that you can add to your professional toolbox. - Discover a wide variety of terms and concepts relevant to the role of a junior data analyst, such as the data life cycle and the data analysis process. - Evaluate the role of analytics in the data ecosystem. - Conduct an analytical thinking self-assessment. - Explore job opportunities available to you upon program completion, and learn about best practices in the job search.Modules
Get started
2
Videos
- Welcome to the Google Data Analytics Certificate
- Introduction to the course
5
Readings
- Program description and course 1 overview: Set your expectations
- Helpful resources and tips
- Evaluate your current data analytics skills
- Share and connect in the discussion forums
- Program surveys
Transform data into insights
2
Videos
- Data analytics in everyday life
- Cassie: Dimensions of data analytics
2
Readings
- New data perspectives
- How data analysts approach tasks
Understand the data ecosystem
1
Assignment
- Test your knowledge on the data ecosystem
2
Videos
- What is the data ecosystem?
- How data informs better decisions
2
Readings
- Origins of the data analysis process
- Data and gut instinct
Embrace your data analyst skills
2
Videos
- Discover data skill sets
- Key data analyst skills
1
Readings
- Use data analytics skills in a business scenario
1
Quiz
- Test your knowledge on data analyst skills
Analytical thinking for effective outcomes
1
Assignment
- Test your knowledge on analytical thinking and outcomes
4
Videos
- All about thinking analytically
- Explore core analytical skills
- Data drives successful outcomes
- Witness data magic
1
Readings
- Use the five whys for root cause analysis
Module 1 challenge
1
Videos
- What to expect moving forward
2
Readings
- Glossary terms from module 1
- Assessment-taking strategies
1
Quiz
- Module 1 challenge
Follow the data life cycle
1
Assignment
- Test your knowledge on the data life cycle
2
Videos
- Learn about data phases and tools
- Stages of the data life cycle
1
Readings
- Variations of the data life cycle
Outline the data analysis process
1
Assignment
- Test your knowledge on the data analysis process
2
Videos
- The phases of data analysis and this program
- Molly: Example of the data analysis process
1
Readings
- More on the phases of data analysis and this program
The data analysis toolbox
2
Assignment
- Self-Reflection: Review past concepts
- Test your knowledge on the data analysis toolbox
1
Videos
- Explore data analyst tools
2
Readings
- Key data analyst tools
- Choose the right tool for the job
Module 2 challenge
1
Readings
- Glossary terms from module 2
1
Quiz
- Module 2 challenge
Master spreadsheet basics
2
Videos
- The ins and outs of core data tools
- Make spreadsheets your friend
2
Readings
- Step-by-Step: Make spreadsheets your friend
- More spreadsheet resources
2
Quiz
- Hands-On Activity: Generate a chart from a spreadsheet
- Test your knowledge on spreadsheet basics
Get started with SQL and data visualization
1
Assignment
- Test your knowledge on SQL and data visualization
4
Videos
- SQL in action
- Angie: Everyday struggles when learning new skills
- Become a data viz whiz
- Lilah: The power of a visualization
3
Readings
- SQL guide: Getting started
- Endless SQL possibilities
- Plan a data visualization
Module 3 challenge
1
Readings
- Glossary terms from module 3
1
Quiz
- Module 3 challenge
Data analyst job opportunities
4
Videos
- 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
1
Quiz
- Self-Reflection: Business use of data
The importance of fair business decisions
2
Assignment
- Self-Reflection: Business cases
- Test your knowledge on making fair business decisions
4
Videos
- The power of data in business
- Rachel: Data detectives
- Understand data and fairness
- Alex: Fair and ethical data decisions
1
Readings
- Consider fairness
Optional: Explore your next job
2
Videos
- Data analysts in different industries
- Samah: Interview best practices
2
Readings
- Data analyst roles and job descriptions
- Beyond the numbers: A data analyst journey
Module 4 challenge
1
Readings
- Glossary terms from module 4
1
Quiz
- Module 4 challenge
Course wrap-up
1
Videos
- Congratulations! Course wrap-up
3
Readings
- Join the community and study group
- Course 1 glossary
- Coming up next...
Auto Summary
"Foundations: Data, Data, Everywhere" is a beginner-friendly course in the Google Data Analytics Certificate offered by Coursera. Taught by current Google data analysts, this hands-on course introduces essential data analytics practices, tools like SQL and Tableau, and key concepts such as data visualization. With no prior experience required, learners gain skills for entry-level data analyst roles over 1320 minutes of content. Subscription options include Starter, Professional, and Paid plans. Ideal for aspiring data analysts looking to embark on a data-driven career.

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