Foundations: Data, Data, Everywhere
Keep adding new skills with 10,000+ programs for $239 (usually $399). Save now.
Foundations: Data, Data, Everywhere
This course is part of Google Data Analytics Professional Certificate
4,068,673 already enrolled
Included with
Ask Coursera
122,600 reviews
Recommended experience
122,600 reviews
Recommended experience
What you'll learn
Define and explain key concepts involved in data analytics including data, data analysis, and data ecosystems.
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.
Details to know
See how employees at top companies are mastering in-demand skills
Build your Data Analysis expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate from Google
There are 4 modules in this course
This is the first course in the Google Data Analytics Certificate. 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 using 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, learners will: - Gain an understanding of the practices and processes employed 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 you can leverage during your job search.
Data helps us make decisions in both everyday life and in business. In this part of the course, you’ll learn how data analysts use a variety of tools and skills to inform those decisions. You’ll also get to know more about this course and the overall program expectations.
What's included
14 videos11 readings5 assignments2 plugins
14 videos•Total 63 minutes
- Welcome to the Google Data Analytics Certificate•9 minutes
- Introduction to the course•5 minutes
- Get started with your Google Data Analytics Certificate•2 minutes
- Data analytics in everyday life•4 minutes
- Cassie: Dimensions of data analytics•5 minutes
- What is the data ecosystem? •5 minutes
- How data informs better decisions•4 minutes
- Discover data skill sets•1 minute
- Key data analyst skills•6 minutes
- All about thinking analytically •5 minutes
- Explore core analytical skills•4 minutes
- Data drives successful outcomes •5 minutes
- Witness data magic•6 minutes
- What to expect moving forward•2 minutes
11 readings•Total 72 minutes
- Course 1 overview•8 minutes
- Helpful resources and tips•4 minutes
- Evaluate your current data analytics skills•8 minutes
- New data perspectives•8 minutes
- How data analysts approach tasks•8 minutes
- Origins of the data analysis process•8 minutes
- Data and gut instinct•4 minutes
- Use data analytics skills in a business scenario•8 minutes
- Use the five whys for root cause analysis•8 minutes
- Glossary terms from course 1, module 1•4 minutes
- Assessment-taking strategies•4 minutes
5 assignments•Total 94 minutes
- Identify data types in a spreadsheet •30 minutes
- Test your knowledge on the data ecosystem•8 minutes
- Test your knowledge on data analyst skills•8 minutes
- Test your knowledge on analytical thinking and outcomes•8 minutes
- Module 1 challenge•40 minutes
2 plugins•Total 20 minutes
- Google Data Analytics Certificate participant entry survey•10 minutes
- Practice data analyst skills•10 minutes
In this part of the course, you'll learn about the data life cycle and data analysis process. They are both relevant to your work in this program and on the job. You’ll also be introduced to applications that help guide data through the data analysis process.
What's included
5 videos6 readings5 assignments1 app item1 plugin
5 videos•Total 26 minutes
- Learn about data phases and tools•2 minutes
- Stages of the data life cycle•5 minutes
- The phases of data analysis and this program•6 minutes
- Molly: Example of the data analysis process•6 minutes
- Explore data analyst tools•6 minutes
6 readings•Total 30 minutes
- Variations of the data life cycle•8 minutes
- Get learning assistance with Google AI Pro at no cost•4 minutes
- More on the phases of data analysis and this program•8 minutes
- Key data analyst tools•4 minutes
- Choose the right tool for the job•4 minutes
- Glossary terms from course 1, module 2•2 minutes
5 assignments•Total 94 minutes
- Test your knowledge on the data life cycle•8 minutes
- Test your knowledge on the data analysis process•8 minutes
- Self-Reflection: Review past concepts•20 minutes
- Test your knowledge on the data analysis toolbox•8 minutes
- Module 2 challenge •50 minutes
1 app item•Total 4 minutes
- Redeem Your Google AI Pro Trial•4 minutes
1 plugin•Total 10 minutes
- Phases of data analysis•10 minutes
Spreadsheets, query languages, and data visualization tools are all a big part of a data analyst’s job. In this part of the course, you’ll learn the basic concepts to use them for data analysis. You’ll also understand how they work through interesting examples.
What's included
6 videos6 readings4 assignments
6 videos•Total 24 minutes
- The ins and outs of core data tools•2 minutes
- Make spreadsheets your friend•9 minutes
- SQL in action•4 minutes
- Angie: Everyday struggles when learning new skills•2 minutes
- Become a data viz whiz•6 minutes
- Lilah: The power of a visualization•2 minutes
6 readings•Total 34 minutes
- Step-by-Step: Make spreadsheets your friend•4 minutes
- More spreadsheet resources•4 minutes
- SQL guide: Getting started•8 minutes
- Endless SQL possibilities•8 minutes
- Plan a data visualization•8 minutes
- Glossary terms from course 1, module 3•2 minutes
4 assignments•Total 126 minutes
- Hands-On Activity: Generate a chart from a spreadsheet•60 minutes
- Test your knowledge on spreadsheet basics•8 minutes
- Test your knowledge on SQL and data visualization •8 minutes
- Module 3 challenge•50 minutes
In this part of the course, you’ll examine different types of businesses and the jobs and tasks that analysts do for them. You’ll also learn how a Google Data Analytics Certificate will help you meet many of the requirements for an analyst position with these organizations.
What's included
11 videos7 readings4 assignments1 plugin
11 videos•Total 36 minutes
- Let's get down to business•1 minute
- The job of a data analyst•5 minutes
- Joey: Path to becoming a data analyst•2 minutes
- Tony: Supporting careers in data analytics•2 minutes
- The power of data in business•4 minutes
- Rachel: Data detectives•2 minutes
- Understand data and fairness•6 minutes
- Alex: Fair and ethical data decisions•3 minutes
- Data analysts in different industries•6 minutes
- Samah: Interview best practices•3 minutes
- Congratulations! Course wrap-up •3 minutes
7 readings•Total 40 minutes
- Consider fairness•8 minutes
- Data analyst roles and job descriptions•8 minutes
- Beyond the numbers: A data analyst journey•14 minutes
- Glossary terms from course 1, module 4•2 minutes
- Join the community •2 minutes
- Course 1 glossary•2 minutes
- Coming up next...•4 minutes
4 assignments•Total 88 minutes
- Self-Reflection: Business use of data•20 minutes
- Self-Reflection: Business cases•20 minutes
- Test your knowledge on making fair business decisions•8 minutes
- Module 4 challenge•40 minutes
1 plugin•Total 10 minutes
- Test your knowledge on data analyst roles•10 minutes
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor
Explore more from Data Analysis
Course
Course
Course
Course
Why people choose Coursera for their career
Learner reviews
- 5 stars
84.07%
- 4 stars
13.29%
- 3 stars
1.76%
- 2 stars
0.41%
- 1 star
0.45%
Showing 3 of 122600
Reviewed on Mar 13, 2022
I recommend this course for the begginer in Data Analytics. The Tutor (Tony) is amazing. With all his practical example, I am super excited to learn more. I am already feeling like a Data Analysts.
Reviewed on Jul 25, 2023
As a beginner with lack of data program language knowledge, I am exited with the level of knowledge improved within me. Thank you for developing an understandable course.I am exited to learn more...!!
Reviewed on Jun 24, 2021
Awesome class. Found out why I'm always analytical about things in my personal life and the critical thinking that this provides. I love it and hopefully this will help me land my dream job at Google!
Frequently asked questions
Data is a group of facts that can take many different forms, such as numbers, pictures, words, videos, observations, and more. We use and create data everyday, like when we stream a show or song or post on social media.
Data analytics is the collection, transformation, and organization of these facts to draw conclusions, make predictions, and drive informed decision-making.
The amount of data created each day is tremendous. Any time you use your phone, look up something online, stream music, shop with a credit card, post on social media, or use GPS to map a route, you’re creating data. Companies must continually adjust their products, services, tools, and business strategies to meet consumer demand and react to emerging trends. Because of this, data analyst roles are in demand and competitively paid.
Data analysts make sense of data and numbers to help organizations make better business decisions. They prepare, process, analyze, and visualize data, discovering patterns and trends and answering key questions along the way. Their work empowers their wider team to make better business decisions.
No prior experience with spreadsheets or data analytics required. All you need is high school level math and curiosity about how things work.
More questions
Financial aid available,
