Level up your career with advanced data analytics skills

Advanced data analytics (also known as data science) uses math and statistics, programming, advanced analytics, artificial intelligence (AI), and machine learning to uncover key insights within an organization’s data. These insights can be used to guide the organization’s decision making and strategic planning.

Advanced data professionals (e.g. advanced data analysts and data scientists) are responsible for collecting, analyzing, and interpreting extremely large amounts of data within organizations. These roles require manipulation of large data sets and the use of advanced analytics including machine learning, predictive modeling, and experimental design.

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.

Large volumes of data and the technology needed to manage and analyze it are becoming increasingly accessible. Because of this, there has been a surge in career opportunities for people who can tell stories using data, such as senior data analysts and data scientists. These professionals collect, analyze, and interpret large amounts of data within a variety of different organizations. Their responsibilities require advanced analytical skills such as data manipulation, experimental design, predictive modeling, and machine learning.

The Google Advanced Data Analytics Certificate is for anyone seeking to improve their data analytics skills while learning how to use machine learning, predictive modeling, and experimental design to collect and analyze large amounts of data. This program follows the Data Analytics Certificate or equivalent experience.

Enrolling in the Google Advanced Data Analytics Certificate will teach you the skill set required to become a senior data analyst, junior data scientist, data science analyst and more. Advanced data analysts understand how to use machine learning, predictive modeling, and experimental design to collect and analyze large amounts of data to uncover trends and draw new insights.

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.

In this stackable credential, you'll enhance your technical skills with tools like Jupyter Notebook, Python, and Tableau.

This advanced data analytics program teaches the open-source programming language Python. The Python programming language is a powerful tool for data analysis due to its simplicity, readability, and its rich ecosystem of libraries and tools. You'll learn to manipulate various data structures like lists, tuples, dictionaries, and sets. Import and utilize Python libraries such as NumPy and pandas.

After you complete the Google Advanced Data Analytics Certificate, 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 Career Certificates Employer Consortium consists of over 150 U.S. companies like Infosys, Verizon, Wells Fargo and Google. These companies span multiple sectors and are committed to considering Google Career Certificate graduates for entry-level jobs.

The Google Advanced 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.