Land a job analyzing data to drive business decisions
Kick off a career in the high-growth field of data analytics. In the Google Data Analytics Certificate program, you’ll learn about R programming, SQL, Python, Tableau and more.
Why this program is right for you
See what's in store
NEW Practice applying AI skills to a workplace scenario, like using generative AI to help visualize complex data
COURSE 1 • 18 HOURS
In this course, you’ll learn key skills and tools for data analytics, including spreadsheets, structured query language (SQL), R programming, and Tableau. You will also understand the daily tasks of a data analyst and explore the kinds of jobs you could pursue after completing this program.
COURSE 2 • 21 HOURS
In this course, you’ll build on your understanding of the topics that were introduced in the first course of this certificate program. The material will help you learn how to ask effective questions, make data-driven decisions, and meet stakeholders’ needs.
COURSE 3 • 25 HOURS
In this course, you'll learn how to use tools like spreadsheets and SQL to identify, extract, and utilize the relevant data for your objectives. You'll also learn methods for organizing and safeguarding your data to ensure its security and integrity.
COURSE 4 • 26 HOURS
In this course, you’ll continue to build your understanding of data analytics and the concepts and tools that data analysts use in their work. You’ll learn how to check and clean your data using spreadsheets and SQL, as well as how to verify and report your data cleaning results.
COURSE 5 • 32 HOURS
This course focuses on the process of organizing and analyzing data to extract valuable insights. You'll learn how to organize data using spreadsheets and SQL and perform complex calculations for business purposes. The course will also introduce essential formulas, functions, and SQL queries to help you effectively analyze and manipulate data.
COURSE 6 • 25 HOURS
This course will show you how data visualizations, such as visual dashboards, can help bring your data to life. You’ll also explore Tableau, a data visualization platform that will help you create effective visualizations for your presentations.
COURSE 7 • 36 HOURS
In this course, you’ll learn about the programming language known as R — R lets you clean, organize, analyze, visualize, and report data in new and more powerful ways. You’ll find out how to use RStudio, the environment that allows you to work with R, and the software applications and tools that are unique to R, such as R packages.
COURSE 8 • 11 HOURS
This course offers the chance to complete a case study, preparing you for your data analytics job search. You'll select an analytics-based scenario and follow a structured process involving asking questions, preparing, processing, analyzing, visualizing, and acting on the data. You'll also gain insights into valuable job hunting skills and learn about building a compelling online portfolio.
Watch a course preview
Link to Youtube Video (visible only when JS is disabled)
The world of data analytics is full of opportunity
-
295,000+
open jobs in the high-demand field of data analytics1 -
$93,000
is the median salary in data analytics2 -
75%
of graduates report a positive career outcome within 6 months of completion3
Gain the skills you need to be a data analyst, operations analyst, business systems analyst, and more.
Connect with 150+ top employers
How people used their certificates to break into data analytics
“The certificate can take you from 0 to 100. As long as you put the work in, you will go as far as you can go.”
Karrim O., Business Analyst for Spectrum Enterprise and Google Data Analytics Certificate graduate
“The Google Data Analytics Certificate gave me legitimacy in data analytics. The program also gave me the ability to say, with complete confidence, that I had training in essential areas of data analytics such as Tableau and SQL.”
Michael P., Healthcare Data Analyst at Dignity Health and Google Data Analytics Certificate graduate
“This certificate came in the middle of my studies and helped guide me in what skills I am already successful in, as well as the areas where I can grow in my learning. It helped me set up a framework for further studies. Finally, I learned some valuable advice on how to set up an online presence to be noticed by potential employers.”
Amy S., Marketing Analyst at McGraw Hill and Google Data Analytics Certificate graduate
What you'll walk away with
Get the skills you need to become a data professional
Enroll now and take your first step toward a fulfilling career in data analytics.
Explore related programs
Go even further in your career by combining the skills you learn in the Data Analytics Certificate with our more advanced and specialized programs.
-
Advanced Data Analytics Certificate
Advanced data analysts and data scientists are responsible for collecting, analyzing, and interpreting extremely large amounts of data
-
Business Intelligence Certificate
Business intelligence professionals help organizations collect, structure, interpret, and report on business data to help stakeholders make informed decisions.
-
Public Sector Specialization
Developed by the University of Michigan and hosted on Coursera, this fully online program provides the skills you need to find entry-level data analyst jobs in the public sector.
We can help you grow your career
Thanks for subscribing.
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 every day, 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.
A data analyst prepares, processes, and analyzes data to help inform business decisions. Data analysts create visualizations to share their findings with stakeholders and provide recommendations driven by data.
A data analyst learns how to work with data to solve problems. Data analyst skills include the ability to:
- Collect, clean, and organize data for analysis
- Conduct data analysis and calculations
- Visualize and present data findings
- Work with spreadsheets, programming languages, and data visualization platforms
A data analyst works with data to solve business problems using tools like SQL, R or other programming languages, data visualization software, and statistical analysis. A data scientist uses more advanced data techniques to make predictions about the future. They may come up with the questions their team should be asking and determine how to use data to answer them.
Companies must continually adjust their products, services, tools, and business strategies to meet consumer preferences and demand and to react to emerging trends. Because of this, a data analyst career is an in-demand option with competitive pay.
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.
The Google Data Analytics Certificate is for anyone with a curiosity about how things work. No prior experience or specific tool is required. All you need is high-school-level math.
Enrolling in the Google Data Analytics Certificate will teach you the skill set required to become a junior or associate data analyst. 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 the opportunity to connect directly with over 150 employers who are hiring for open entry-level roles in data analytics.
The data analysis tools and platforms included in the certificate curriculum are spreadsheets (Google Sheets or Microsoft Excel), SQL, presentation tools (Powerpoint or Google Slides), Tableau, RStudio, and Kaggle.
This data analytics program teaches the open-source programming language R. R is a great starting point for foundational data analysis, and offers helpful packages for beginners to apply to their projects. We do not cover Python in the curriculum but encourage learners to explore the Google Advanced Data Analytics Certificate, which helps enhance technical skills including Python, Jupyter Notebook and Tableau.
In addition to expert training and hands-on projects designed to prepare you for a job in data analytics, you’ll get exclusive access to CareerCircle, which offers free 1-on-1 coaching, interview and career support, and a job board to connect directly with employers, including over 150 companies in the Google Career Certificates Employer Consortium.
The Google Data Analytics Certificate costs $49 per month on Coursera after an initial 7-day free trial period.
All Google Career Certificates are completely self-paced. At about 10 hours of study per week, many learners complete a Google Career Certificate in three to six months.
If you are interested in financial assistance for the Google Data Analytics Certificate, you may be eligible for financial aid via Coursera through the course page. Recipients of financial aid will have full access to course content and assignments required to earn a certificate. To apply, go to the certificate course page on Coursera and click the “Financial aid available” link next to the “Enroll” button.
Interview Warmup is a tool that lets anyone practice answering interview questions, based on Google Career Certificate fields, to get more confident and comfortable with the interview process. Your answers are transcribed in real time so you can review what you said and discover patterns in your responses. Learn more
here.
Footnotes
1Lightcast™ US Job Postings (2023: Jan. 1, 2023 - Dec. 31, 2023)
2Lightcast™ US Job Postings (2023: Jan. 1, 2023 - Dec. 31, 2023)
3Based on program graduate survey, United States 2022