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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
Show info about module content
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
The wonderful world of data
Module 2•3 hours to complete
Module details
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 videos5 readings5 assignments1 plugin
Show info about module content
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
5 readings•Total 26 minutes
Variations of the data life cycle•8 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 plugin•Total 10 minutes
Phases of data analysis•10 minutes
Set up your data analytics toolbox
Module 3•3 hours to complete
Module details
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
Show info about module content
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
Become a fair and impactful data professional
Module 4•3 hours to complete
Module details
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
Show info about module content
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
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Learner reviews
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Showing 3 of 122366
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SC
5·
Reviewed on May 13, 2022
I really love how they explain concepts about data, share experience , easy to understand and improved my foundation about data. The assignments and quizzes really helped me in undestanding the course
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PP
4·
Reviewed on Feb 21, 2023
Great foundation, would have preferred some more real life examples (in depth) of the work of data analysts and perhaps a bit less fluff. Otherwise I'm satisfied with the knowledge this course offers.
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RM
5·
Reviewed on May 29, 2022
This is a great initiatives by google and coursera for the learners like us who aspire themselves as a data scientist in future.The course design is well structured with better two way communication.
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.
Why start a career in data analytics?
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.
What background is required?
No prior experience with spreadsheets or data analytics required. All you need is high school level math and curiosity about how things work.
Do you need to be strong at math to succeed in this certificate?
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.
What ‘spreadsheet’ platform is being taught?
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.
What tools or platforms are included in the curriculum?
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.
Why enroll in the Google Data Analytics Certificate?
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.
Will this program teach R or Python?
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.
Do I need to take the course in a certain order?
We highly recommend completing the courses in the order presented because the content in each course builds on information from earlier lessons.
When will I have access to the lectures and assignments?
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.
What will I get if I subscribe to this Certificate?
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.