This is your path to a career in data analytics. In this GOOGLE DATA ANALYTICS PROFESSIONAL CERTIFICATE program, you’ll learn in-demand skills that will get you job-ready in less than 6 months. No degree or experience required.

About Google Data Analytics Professional Certificate:

Prepare for a new career in the fast-growing field of data analytics, no experience or degree required. Get professional training designed by Google and get the opportunity to connect with top employers. There are 337,400 job openings in the US in data analytics with an average entry-level salary of $67,900

Data analytics is the collection, transformation, and organization of data to draw conclusions, make predictions, and drive informed decision-making.

Gain in-demand skills in 8 courses that will prepare you for an entry-level job. You’ll learn from Google employees whose foundations in data analytics served as launch pads for their own careers. With less than 10 hours a week, you can earn the certificate in less than 6 months.

You’ll prepare yourself for junior or associate data analyst, database administrator, and more jobs. Upon completion of the certificate, you can directly apply for jobs at Google and more than 130 US employers, including Walmart, Best Buy, Astreya.

82% of Google Career Certificate graduates report a positive career outcome, such as a new job, promotion or salary increase within six months.²

View all Google Career Certificates here.

¹Burning Glass: Labor Insight (last 12 months: February 1, 2020 – January 31, 2021)

²Coursera Student Outcome Survey, always for Google IT support certificate. Data is collected via surveys on the platform or email and is cumulative from January 2018 – January 2021.

Applied Learning Project

This program includes more than 180 hours of instruction and hundreds of practice-based assessments, allowing you to simulate real-world data analysis scenarios essential to workplace success. The content is highly interactive and developed exclusively by Google employees with decades of experience in data analytics. Through a mix of videos, assessments and hands-on labs, you’ll be introduced to analytics tools and platforms and key analytical skills required for an entry-level job.

Skills you will gain include: Data cleaning, troubleshooting, critical thinking, data ethics, and data visualization

Platforms and tools you will learn include: Presentations, Spreadsheets, SQL, Tableau, and R programming

In addition to expert training and hands-on projects, you’ll complete a case study that you can share with potential employers to demonstrate your new skills. Learn concrete skills that top employers are looking for now. Shareable Certificate Earn a Certificate upon Completion 100% Online Courses Start instantly and learn on your own schedule. Flexible schedule Set and enforce flexible deadlines.

new skills. Learn concrete skills that top employers are hiring right now. Shareable certificate Earn a certificate upon completion 100% online courses Start instantly and learn on your own schedule. Flexible schedule Set and maintain flexible deadlines. Beginner level

No degree or previous experience required Approximately 6 months to complete Proposed pace of 10 hours/week English Subtitles: English


For anyone starting out as a data analyst, this is a great introduction and very inspiring. The content was well paced and accessible. — RachelL.

The instructor was very articulate and the content is very feature rich. I also like the idea of ​​answering open-ended questions about data.- Fazle R.

Good mix of video lessons, practice quizzes and projects with Kaggle and Qwiklabs. — Krista B.

What is a professional certificate?

Develop the skills to be job ready

Whether you want to start a new career or change your current career, professional certificates on Coursera will help you get ready for a job. Learn at your own pace, where and when it suits you best. Sign up today and discover a new career path with a 7-day free trial. You can pause learning or cancel your subscription at any time.

Practical projects

Apply your skills with hands-on projects and build a portfolio that demonstrates your work readiness to potential employers. You must successfully complete the project(s) to obtain your Certificate.

Earn a career reference

When you complete all of the courses in the program, you’ll earn a certificate to share with your professional network and unlock access to career support resources to help jump-start your new career. Many professional certificates have hiring partners who recognize the credentials of the professional certificate, and others can help you prepare for a certification exam. You can find more information on the individual Professional Certificate pages where this applies.

Why data analysis is important?

Data analysis is an internal arrangement that is done by presenting numbers and figures to the management. With data analytics, the organizations can make decisions about customer trends, predict behavior, increase business profits and drive effective decision-making.

Once the organizations adopt data analytics, they can analyze the causes of certain events based on the data, understand the objective and guidelines for the business, and can gain technical insights into the business using an easy-to-understand language. Here are five reasons why companies should use the data analytics method and technology.

Better targeting

With the help of Data Analytics, organizations can determine which forms of advertising are effectively reaching their customers and having an impact on them. Data enables the organizations to understand which advertising methods for their product have the greatest impact on the target audience and to what scale the organization could deploy such advertisements.

Bounce Rates

The data pertaining to any online business is their website bounce rate. Lower bounce rates indicate that customers interested in the business are genuine and want to learn more about the offering. On the other hand, higher bounce rates are a clear signal that something isn’t right. It means that Google or other search engines do not identify the business website because of its relevance.

Beginner level

No degree or previous experience required

About 6 months to complete

Suggested pace of 10 hours/week

English Subtitles: English

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