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⇱ Foundations: Data, Data, Everywhere | Coursera


Foundations: Data, Data, Everywhere

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Foundations: Data, Data, Everywhere

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Gain insight into a topic and learn the fundamentals.
4.8

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Beginner level

Recommended experience

Flexible schedule
1 week at 10 hours a week
Learn at your own pace
98%
Most learners liked this course

Gain insight into a topic and learn the fundamentals.
4.8

122,600 reviews

Beginner level

Recommended experience

Flexible schedule
1 week at 10 hours a week
Learn at your own pace
98%
Most learners liked this course

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

Shareable certificate

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Assessments

18 assignments

Taught in English

Build your Data Analysis expertise

This course is part of the Google Data Analytics Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
  • 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 videosTotal 63 minutes
  • Welcome to the Google Data Analytics Certificate9 minutes
  • Introduction to the course5 minutes
  • Get started with your Google Data Analytics Certificate2 minutes
  • Data analytics in everyday life4 minutes
  • Cassie: Dimensions of data analytics5 minutes
  • What is the data ecosystem? 5 minutes
  • How data informs better decisions4 minutes
  • Discover data skill sets1 minute
  • Key data analyst skills6 minutes
  • All about thinking analytically 5 minutes
  • Explore core analytical skills4 minutes
  • Data drives successful outcomes 5 minutes
  • Witness data magic6 minutes
  • What to expect moving forward2 minutes
11 readingsTotal 72 minutes
  • Course 1 overview8 minutes
  • Helpful resources and tips4 minutes
  • Evaluate your current data analytics skills8 minutes
  • New data perspectives8 minutes
  • How data analysts approach tasks8 minutes
  • Origins of the data analysis process8 minutes
  • Data and gut instinct4 minutes
  • Use data analytics skills in a business scenario8 minutes
  • Use the five whys for root cause analysis8 minutes
  • Glossary terms from course 1, module 14 minutes
  • Assessment-taking strategies4 minutes
5 assignmentsTotal 94 minutes
  • Identify data types in a spreadsheet 30 minutes
  • Test your knowledge on the data ecosystem8 minutes
  • Test your knowledge on data analyst skills8 minutes
  • Test your knowledge on analytical thinking and outcomes8 minutes
  • Module 1 challenge40 minutes
2 pluginsTotal 20 minutes
  • Google Data Analytics Certificate participant entry survey10 minutes
  • Practice data analyst skills10 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 videosTotal 26 minutes
  • Learn about data phases and tools2 minutes
  • Stages of the data life cycle5 minutes
  • The phases of data analysis and this program6 minutes
  • Molly: Example of the data analysis process6 minutes
  • Explore data analyst tools6 minutes
6 readingsTotal 30 minutes
  • Variations of the data life cycle8 minutes
  • Get learning assistance with Google AI Pro at no cost4 minutes
  • More on the phases of data analysis and this program8 minutes
  • Key data analyst tools4 minutes
  • Choose the right tool for the job4 minutes
  • Glossary terms from course 1, module 22 minutes
5 assignmentsTotal 94 minutes
  • Test your knowledge on the data life cycle8 minutes
  • Test your knowledge on the data analysis process8 minutes
  • Self-Reflection: Review past concepts20 minutes
  • Test your knowledge on the data analysis toolbox8 minutes
  • Module 2 challenge 50 minutes
1 app itemTotal 4 minutes
  • Redeem Your Google AI Pro Trial4 minutes
1 pluginTotal 10 minutes
  • Phases of data analysis10 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 videosTotal 24 minutes
  • The ins and outs of core data tools2 minutes
  • Make spreadsheets your friend9 minutes
  • SQL in action4 minutes
  • Angie: Everyday struggles when learning new skills2 minutes
  • Become a data viz whiz6 minutes
  • Lilah: The power of a visualization2 minutes
6 readingsTotal 34 minutes
  • Step-by-Step: Make spreadsheets your friend4 minutes
  • More spreadsheet resources4 minutes
  • SQL guide: Getting started8 minutes
  • Endless SQL possibilities8 minutes
  • Plan a data visualization8 minutes
  • Glossary terms from course 1, module 32 minutes
4 assignmentsTotal 126 minutes
  • Hands-On Activity: Generate a chart from a spreadsheet60 minutes
  • Test your knowledge on spreadsheet basics8 minutes
  • Test your knowledge on SQL and data visualization 8 minutes
  • Module 3 challenge50 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 videosTotal 36 minutes
  • Let's get down to business1 minute
  • The job of a data analyst5 minutes
  • Joey: Path to becoming a data analyst2 minutes
  • Tony: Supporting careers in data analytics2 minutes
  • The power of data in business4 minutes
  • Rachel: Data detectives2 minutes
  • Understand data and fairness6 minutes
  • Alex: Fair and ethical data decisions3 minutes
  • Data analysts in different industries6 minutes
  • Samah: Interview best practices3 minutes
  • Congratulations! Course wrap-up 3 minutes
7 readingsTotal 40 minutes
  • Consider fairness8 minutes
  • Data analyst roles and job descriptions8 minutes
  • Beyond the numbers: A data analyst journey14 minutes
  • Glossary terms from course 1, module 42 minutes
  • Join the community 2 minutes
  • Course 1 glossary2 minutes
  • Coming up next...4 minutes
4 assignmentsTotal 88 minutes
  • Self-Reflection: Business use of data20 minutes
  • Self-Reflection: Business cases20 minutes
  • Test your knowledge on making fair business decisions8 minutes
  • Module 4 challenge40 minutes
1 pluginTotal 10 minutes
  • Test your knowledge on data analyst roles10 minutes

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Instructor

Instructor ratings
4.8 (49,248 ratings)
Google
386 Courses16,918,418 learners

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Learner reviews

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Showing 3 of 122600

AL
·

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.

KK
·

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...!!

KW
·

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.

You don't need to be a math all-star to succeed in the certificate. You need to be curious, and open to learning with numbers (the language of data analysts). Being a strong data analyst is more than just math, it's like about asking the right questions, finding the best sources to answer your question effectively and illustrating your findings clearly in visualizations.

Learners can self-select which platform they want to use throughout the program, Google Sheets or Microsoft Excel. It’s entirely up to the learner’s preference, and all activities throughout the syllabus can be performed on either platform. 

You'll learn to use analysis tools and platforms such as spreadsheets (Google Sheets or Microsoft Excel), SQL, presentation tools (Powerpoint or Google Slides), Tableau, RStudio, and Kaggle.

You will learn the skill set required for becoming a junior or associate data analyst in the Google Data Analytics Certificate. Data analysts know how to ask the right question; prepare, process, and analyze data for key insights; effectively share their findings with stakeholders; and provide data-driven recommendations for thoughtful action.

You’ll learn these job-ready skills in our certificate program through interactive content (discussion prompts, quizzes, and activities) in under six months, with under 10 hours of flexible study a week. Along the way, you'll work through a curriculum designed with input from top employers and industry leaders, like Tableau, Accenture, and Deloitte. You’ll even have the opportunity to complete a case study that you can share with potential employers to showcase your new skill set.

After you’ve graduated from the program, you’ll have access to career resources and be connected directly with employers hiring for open entry-level roles in data analytics.

This program teaches the open-source programming language, Python. The data analysis landscape is rapidly evolving, with Python solidifying its position as the industry-standard language for data manipulation, analysis, and visualization. This program will prepare you to meet the increased demand for Python skills in data analytics roles. We do not cover R programming in the curriculum but encourage learners to explore R after completion if they'd like to continue their learning journey.

We highly recommend completing the courses in the order presented because the content in each course builds on information from earlier lessons.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Financial aid available,