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ADVANCED DATA ANALYTICS CERTIFICATE

Level up your career with advanced data analytics skills

Take your data analytics skills further and learn how to use machine learning, predictive modeling, and experimental design to collect and analyze large amounts of data. This advanced program builds on the foundations of the Google Data Analytics Certificate and helps enhance technical skills, including Jupyter Notebook, Python, and Tableau.

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Why this program is right for you

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COURSE 1 • 23 HOURS
Foundations of Data Science

In this introductory course, you will understand the role of data professionals in the workplace, and learn about the PACE (Plan, Analyze, Construct, Execute) project workflow and how it can help you organize data projects.

COURSE 2 • 30 HOURS
Get Started with Python

In this course, you’ll learn about the basic concepts of Python programming — including syntax, loops, strings, object-oriented programming — and how data professionals use it on the job.

COURSE 3 • 32 HOURS
Go Beyond the Numbers: Translate Data into Insights

In this course, you’ll learn how to use storytelling to better understand data and communicate key insights to teammates and stakeholders. You’ll also learn how to create effective data visualizations.

COURSE 4 • 37 HOURS
The Power of Statistics

In this course, you’ll discover how data professionals use statistics to analyze data and gain important insights and learn how to use Python for statistical analysis.

COURSE 5 • 32 HOURS
Regression Analysis: Simplify Complex Data Relationships

In this course, you’ll practice regression analysis to discover the relationships between different variables in a dataset and identify key factors that affect business performance. You’ll also explore methods such as linear regression, analysis of variance (ANOVA), and logistic regression.

COURSE 6 • 36 HOURS
The Nuts and Bolts of Machine Learning

In this course, you’ll explore two types of machine learning (ML): supervised and unsupervised, learn how to apply different ML models to business problems, and understand specific models such as Naive Bayes and decision tree.

COURSE 7 • 9 HOURS
Google Advanced Data Analytics Capstone

In this final course, you’ll complete a capstone project that includes concepts from all 6 courses, and develop data-driven insights for a specific business problem.

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The world of advanced data analytics is full of opportunity

  • 1,900+

    job postings across certificate fields1

  • $90,900+

    median entry-level salary across certificate fields2

Gain the advanced skills you need to be a senior data analyst, junior data scientist, data science analyst and more.

How people used their certificates to advance their careers

What you'll walk away with

Get the skills you need to advance your data analytics career

Enroll now and take your data analytics skills further.

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Frequently asked questions

What is advanced data analytics?

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.

What does an advanced data professional do?

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.

What is the difference between data analytics and data science?

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.

Why start a career in advanced data analytics/data science?

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.

Who is the Google Advanced Data Analytics Certificate for?

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.

Why enroll in the Google Advanced Data Analytics Certificate?

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 employers who are hiring for open entry-level roles in data analytics.

What tools or platforms are included in the Google Advanced Data Analytics curriculum?

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

Will you be teaching R or Python for data analysis?

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.

What kind of job support is available after I complete the Google Advanced Data Analytics Certificate?

After you complete the Google Advanced Data Analytics Certificate, you’ll get exclusive access to Talent Match, which offers free 1-on-1 coaching, interview and career support, and a job board to connect directly with employers.

How much do the certificates cost? Is financial assistance available?

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.

What is Interview Warmup?

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.

Footnotes


1 Lightcast™ Global Job Postings (2023: Jan. 1, 2023 - Dec. 31, 2023)
2 Lightcast™ Global Job Postings for available countries in the North American region. (2023: Jan. 1, 2023 - Dec. 31, 2023). US Treasury Reporting Rates of Exchange, USD to CAD, 1 USD = 1.355 CAD (March 31, 2024).