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 organisation’s data. These insights can be used to guide the organisation’s decision making and strategic planning.

Advanced data professionals (e.g. advanced data analysts and data scientists) are responsible for collecting, analysing, and interpreting extremely large amounts of data within organisations. 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 visualisation 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 analyse 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, analyse, and interpret large amounts of data within a variety of different organisations. 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 analyse 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 analyse 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 utilise Python libraries such as NumPy and pandas.

In addition to expert training and hands-on projects designed to prepare you for a job in your field of choice, you’ll have access to career resources like Interview Warmup, a tool that lets you practise interview questions based on Google Career Certificate fields.

The Google Advanced Data Analytics Certificate costs $49 USD 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 practise 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.