What Is Sales Analytics and How Does It Benefit My Business?
March 4, 2024
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Get on the fast track to a career in Data Analytics. In this certificate program, you’ll learn in-demand skills, and get AI training from Google experts. Learn at your own pace, no degree or experience required.
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Gain an immersive understanding of the practices and processes used by a junior or associate data analyst in their day-to-day job
Learn key analytical skills (data cleaning, analysis, & visualization) and tools (spreadsheets, SQL, R programming, Tableau)
Understand how to clean and organize data for analysis, and complete analysis and calculations using spreadsheets, SQL and R programming
Learn how to visualize and present data findings in dashboards, presentations and commonly used visualization platforms
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Prepare for a new career in the high-growth field of data analytics, no experience or degree required. Get professional training designed by Google and have the opportunity to connect with top employers. There are 483,000 open jobs in data analytics with a median entry-level salary of $92,000.¹
Data analytics is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision making.
Over 8 courses, gain in-demand skills that prepare you for an entry-level job. You’ll learn from Google employees whose foundations in data analytics served as launchpads for their own careers. At under 10 hours per week, you can complete the certificate in less than 6 months.
Upon completion, you can directly apply for jobs with Google and over 150 U.S. employers, including Deloitte, Target, Verizon, and of course, Google.
75% of certificate graduates report a positive career outcome (e.g., new job, promotion, or raise) within six months of completion²
¹Lightcast™ US Job Postings (2022: Jan. 1, 2022 - Dec. 31, 2022)
²Based on program graduate survey, United States 2022
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This program includes over 180 hours of instruction and hundreds of practice-based assessments, which will help you simulate real-world data analytics scenarios that are critical for success in the workplace. The content is highly interactive and exclusively developed by Google employees with decades of experience in data analytics. Through a mix of videos, assessments, and hands-on labs, you’ll get introduced to analysis tools and platforms and key analytical skills required for an entry-level job.
Skills you’ll gain will include: Data cleaning, problem solving, 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 showcase your new skill set. Learn concrete skills that top employers are hiring for right now.
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.
Explain how the problem-solving road map applies to typical analysis scenarios.
Discuss the use of data in the decision-making process.
Demonstrate the use of spreadsheets to complete basic tasks of the data analyst including entering and organizing data.
Describe the key ideas associated with structured thinking.
Explain what factors to consider when making decisions about data collection.
Discuss the difference between biased and unbiased data.
Describe databases with references to their functions and components.
Describe best practices for organizing data.
Define different types of data integrity and identify risks to data integrity.
Apply basic SQL functions to clean string variables in a database.
Develop basic SQL queries for use on databases.
Describe the process of verifying data cleaning results.
Discuss the importance of organizing your data before analysis by using sorts and filters.
Convert and format data.
Apply the use of functions and syntax to create SQL queries to combine data from multiple database tables.
Describe the use of functions to conduct basic calculations on data in spreadsheets.
Describe the use of data visualizations to talk about data and the results of data analysis.
Identify Tableau as a data visualization tool and understand its uses.
Explain what data driven stories are including reference to their importance and their attributes.
Explain principles and practices associated with effective presentations.
Describe the R programming language and its programming environment.
Explain the fundamental concepts associated with programming in R including functions, variables, data types, pipes, and vectors.
Describe the options for generating visualizations in R.
Demonstrate an understanding of the basic formatting in R Markdown to create structure and emphasize content.
Identify the key features and attributes of a completed case study.
Apply the practices and procedures associated with the data analysis process to a given set of data.
Discuss the use of case studies/portfolios when communicating with recruiters and potential employers.
Gain a competitive edge by learning AI skills from Google experts.
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
When you complete this Professional Certificate, you may be able to have your learning recognized for credit if you are admitted and enroll in one of the following online degree programs.¹
When you complete this Professional Certificate, you may be able to have your learning recognized for credit if you are admitted and enroll in one of the following online degree programs.¹
University of Leeds
Degree · 24 - 48 months
Ball State University
Degree · 24 months
University of Maryland Global Campus
Degree · 48 months
Illinois Tech
Degree
University of Maryland Global Campus
Degree · 48 months
University of North Texas
Degree · 15+ hours of study/wk per course
O.P. Jindal Global University
Degree · 12 - 24 months
O.P. Jindal Global University
Degree · 24 - 36 months
Illinois Tech
Degree · 12-24 months
Illinois Tech
Degree · 12-15 months
¹Successful application and enrollment are required. Eligibility requirements apply. Each institution determines the number of credits recognized by completing this content that may count towards degree requirements, considering any existing credits you may have. Click on a specific course for more information.
This Professional Certificate has ACE® recommendation. It is eligible for college credit at participating U.S. colleges and universities. Note: The decision to accept specific credit recommendations is up to each institution.
Grow with Google is an initiative that draws on Google's decades-long history of building products, platforms, and services that help people and businesses grow. We aim to help everyone – those who make up the workforce of today and the students who will drive the workforce of tomorrow – access the best of Google’s training and tools to grow their skills, careers, and businesses.
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It is a beautifully crafted on-ramp to the world of data analytics. Using the tools I learned in the certificate, I created a portfolio of work samples that showcased my ability as an analyst, and I successfully transitioned out of education and secured a full-time position in data analytics.
Learning from the U.S.
“
It is a beautifully crafted on-ramp to the world of data analytics. Using the tools I learned in the certificate, I created a portfolio of work samples that showcased my ability as an analyst, and I successfully transitioned out of education and secured a full-time position in data analytics.
Learning from the U.S.
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Data is a group of facts that can take many different forms, such as numbers, pictures, words, videos, observations, and more. Data analytics is the collection, transformation, and organization of these facts in order to draw conclusions, make predictions, and drive informed decision making. Companies need data analysts to sort through this data to help make decisions about their products, services or business strategies.
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.
Organizations of all kinds, in industries as varied as entertainment, finance, health care, tech, and more, need data analysts to help them improve their processes and launch new products.
In the U.S. and Canada, Coursera charges $49 per month after the initial 7-day free trial period. The Google Data Analytics Certificate can be completed in less than 6 months at under 10 hours per week of part-time study, so most learners can complete the certificate for less than $300 USD. In other countries where Google Career Certificates are available, your cost may be lower.
This certificate is currently available globally in English. You can also find Google Career Certificates available globally in the following languages: Turkish, German, Spanish, Arabic, Russian, and Indonesian Bahasa. We are working on adding more languages soon. Please continue to check back here for updates.
None! Whether you’re completely new to the job field or have had some exposure, a Google Career Certificate is the right program for you.
We highly recommend taking the courses of each certificate program in the order presented, as the content builds on information from earlier courses.
This 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 Python after completion if they'd like to continue their learning journey.
One of the most exciting parts of being a data analyst is the number of opportunities available. Nearly every company has the ability to collect data, and the amount of data is growing larger and larger. This has led to a higher demand for employees who can organize and analyze data to unearth insights. Organizations have trouble recruiting for positions that require data analysis skills, and demand for these jobs will continue to increase, with about 11.5 million data related jobs being created in the U.S. by 2026 (BLS).
A career in data analytics allows you the opportunity to specialize, this just means you’ll be focused on in-depth knowledge for an specific industry and your day to day work will revolve around problem solving for that industry. Some common titles can include: Junior Data Analyst, Junior Data Scientist, HR/Payroll Analyst, Finance Analyst, Operations Analyst, Business Intelligence Analyst, Healthcare Analyst and many more.
Google Career Certificates are designed to prepare you for an entry-level role in job fields like data analytics, digital marketing & e-commerce, IT support, project management, and UX design. Upon completion of a Google Career Certificate, like this one, certificate graduates in the U.S. will have the option to share their information with top U.S. employers that are hiring entry-level professionals, like Target, Infosys, Verizon, Wells Fargo and of course, Google. Employer consortiums are currently available in the U.S., Canada, India, Singapore, Indonesia and are coming to more countries soon. The employers included will vary by country.
In addition to expert-led training and hands-on projects designed to prepare you for a job, you'll get access to an interview practice tool, mock interviews and resume building workshops, career coaching sessions and more. You'll also be able to connect with over 150 U.S. employers who are searching for candidates who have completed a Google Career Certificate.
Google had long faced an issue that many other companies also contend with: We had open IT support roles, but not enough qualified candidates to fill them. So we built and tested a training program to provide pathways to jobs in technical support at Google for people with no college degree or experience. In 2018, Google launched the IT Support Certificate so that this training could be available to everyone. Since then, thousands of people have completed the program. In the United States, 75% of certificate graduates report a positive career outcome (e.g., new job, promotion, or raise) within six months of completion.¹
When we saw the positive impact this program was having on people all over the world, we expanded into additional fast-growing, high-paying career fields: cybersecurity, data analytics, digital marketing & e-commerce, project management and UX design. Built and taught by Google, these certificates prepare people from all backgrounds for jobs in fields with great demand for qualified candidates. No degree or previous experience is required. Graduates get the chance to connect directly with over 150 U.S. employers who are accepting Google Career Certificates for open jobs.
¹Based on program graduate survey, United States, 2022.
Those planning to attend a degree program can utilize ACE®️ recommendations or ECTS recommendations, the industry standard for translating workplace learning to college credit. Learners can earn an ACE recommendation of up to 12 college credits, or 7 ECTS credits, for completing the Data Analytics Certificate. This aims to help open up additional pathways to learners who are interested in higher education, and prepare them for entry-level jobs.
To share proof of completion with schools, certificate graduates will receive an email prompting them to claim their Credly badge, which contains the ACE ® ️ or ECTS credit recommendation. Once claimed, they will receive a competency-based transcript that signifies the credit recommendation, which can be shared directly with a school from the Credly platform. Please note that the decision to accept specific credit recommendations is up to each institution and is not guaranteed.
The Google Data Analytics Certificate features practical training and hands-on activities to help you leverage AI for data analytics. Learn how to use AI to help with ideas for data visualization, data cleaning, and data structuring directly from Google experts.
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Certificate, you’re automatically subscribed to the full Certificate. Visit your learner dashboard to track your progress.
¹ Median salary and job opening data are sourced from Lightcast™ Job Postings Report. Data for job roles relevant to featured programs (2/1/2024 - 2/1/2025) ² Positive career outcome (e.g., new job, promotion, or raise) within six months of completion. Based on program graduate survey, United States 2022.
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