Google Advanced Data Analytics Certificate

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.

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 (such as advanced data analysts and data scientists) are responsible for collecting, analyzing, and interpreting massive 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 develop the questions a team should be asking and determine how to use data to answer them.

Data analysts collect, analyze, and interpret data to tell a story, sharing their insights via a report. BI professionals focus on making data easily accessible and understood by an organization's leaders, retrieving and preparing data from multiple sources to then create reports or dashboards that stakeholders can monitor themselves.

Large volumes of data and the technology needed to manage and analyze it are becoming increasingly accessible. Because of this, there’s 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.

Each course within the certificate ends with a module where learners apply their new knowledge to simulated career experiences.. In each of these modules, learners are challenged to complete projects that help them practice and demonstrate the data professional concepts taught in each course. They’re encouraged to compile these projects in a professional portfolio that showcases their advanced data analytics knowledge and skills for the job market.

The Google Advanced Data Analytics Certificate courses are 100% online learning. Start right away and learn on your own schedule.

In the U.S. and Canada, the subscription cost is $49 USD per month after an initial 7-day free trial period. Google Career Certificates are completely self-paced, and many learners complete their Certificate in three to six months.

In other countries where Google Career Certificates are available, your cost may be lower. To see the exact cost in your local currency, please visit the Coursera page and view the enrollment options.

If you’re planning to attend a degree program, you can utilize ACE®️ recommendations, the industry standard for translating workplace learning into college credit. Learners can earn a recommendation of 12 college credits for completing the Google Advanced Data Analytics Certificate, the equivalent of 4 college courses at the bachelor’s degree level. This aims to help open up additional pathways to learners who are interested in higher education, and prepare them for entry-level jobs or to advance their career.

To share proof of completion with schools, certificate graduates will receive an email prompting them to claim their Credly badge, which contains the ACE®️ credit recommendation. Once claimed, they’ll 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.