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Google Advanced Data Analytics Professional Certificate
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Data Science
Data Analysis
Google Advanced Data Analytics Professional Certificate
Learn in-demand skills like statistical analysis, Python, regression models, and machine learning in less than 6 months.
Instructor: Google Career Certificates
Enroll for free
Starts Jul 19
380,761 already enrolled
Included with Coursera Plus
•Learn more
7 course series
Earn a career credential that demonstrates your expertise
4.8
from 11,625 reviews of courses in this program
Advanced level
Recommended experience
6 months to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
7 course series
Earn a career credential that demonstrates your expertise
4.8
from 11,625 reviews of courses in this program
Advanced level
Recommended experience
6 months to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
About
Outcomes
Courses
Testimonials
Previous
Next
What you'll learn
Explore the roles of data professionals within an organization
Create data visualizations and apply statistical methods to investigate data
Build regression and machine learning models to analyze and interpret data
Communicate insights from data analysis to stakeholders
Skills you'll gain
Interactive Data Visualization
Workflow Management
Descriptive Statistics
Statistical Inference
Professional Development
Advanced Analytics
Logistic Regression
Applied Machine Learning
Interviewing Skills
Data Structures
Decision Tree Learning
Data-Driven Decision-Making
Supervised Learning
Statistical Modeling
Data Cleansing
Statistics
Probability & Statistics
Probability Distribution
Statistical Methods
Show all
Tools you'll learn
NumPy
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
7 languages available
Advance your career with in-demand skills
Receive professional-level training from Google
Demonstrate your technical proficiency
Earn an employer-recognized certificate from Google
Qualify for in-demand job titles: senior data analyst, junior data scientist, data science analyst
75% of certificate graduates report positive career outcome¹
Professional Certificate - 7 course series
Get professional training designed by Google and take the next step in your career with advanced data analytics skills. There are over 100,000 open jobs in advanced data analytics with a median salary of $130,000+ in the U.S.¹
Advanced data professionals are responsible for collecting, analyzing, and interpreting extremely large amounts of data. These jobs require manipulating large data sets and using advanced analytics including machine learning, predictive modeling, and experimental design.
This certificate builds on your data analytics skills and experience to take your career to the next level. It's designed for graduates of the Google Data Analytics CertificateOpens in a new tab
or people with equivalent data analytics experience. Expand your knowledge with practical, hands-on projects, featuring Jupyter Notebook, Python, and Tableau.
After seven courses, you’ll be prepared for jobs like senior data analyst, junior data scientist, data science analyst, and more. At under 10 hours a week, the certificate program can be completed in less than six months. Upon completion, you can apply for jobs with Google and over 150 U.S. employers, including Deloitte, Target, and Verizon.
75% of certificate graduates report a positive career outcome (e.g., new job, promo or raise) within six months of completion2
¹Lightcast™ US Job Postings (2025: Jan. 1, 2025 - Dec. 31, 2025)
2Based on program graduate survey, United States 2022
Applied Learning Project
This program includes over 200 hours of instruction and hundreds of practice-based assessments, which will help you simulate real-world advanced 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 advanced data analytics and data science. Through a mix of videos, assessments, and hands-on labs, you’ll get introduced to advanced data analytics tools and platforms and key technical skills required for an advanced role.
Platforms and tools you will learn include: Jupyter Notebook, Python, Tableau
In addition to expert training and hands-on projects, you'll complete a capstone project that you can share with potential employers to showcase your new skill set. Learn concrete skills that top employers are hiring for right now.
Foundations of Data Science
Course 1, 20 hoursCourse 1•20 hoursCourse details
What you'll learn
Understand common careers and industries that use advanced data analytics
Investigate the impact data analysis can have on decision-making
Explain how data professionals preserve data privacy and ethics
Develop a project plan considering roles and responsibilities of team members
Skills you'll gain
Category: Data AnalysisData Analysis
Category: Machine LearningMachine Learning
Category: CommunicationCommunication
Category: Stakeholder CommunicationsStakeholder Communications
Category: Workflow ManagementWorkflow Management
Category: Data ScienceData Science
Category: Data StorytellingData Storytelling
Category: Technical CommunicationTechnical Communication
Category: Project ManagementProject Management
Category: AnalyticsAnalytics
Category: Data EthicsData Ethics
Category: Analytical SkillsAnalytical Skills
Category: Process DesignProcess Design
Category: Data-Driven Decision-MakingData-Driven Decision-Making
Category: Advanced AnalyticsAdvanced Analytics
Category: Business SolutionsBusiness Solutions
Go Beyond the Numbers: Translate Data into Insights
Course 2, 28 hoursCourse 2•28 hoursCourse details
What you'll learn
Apply the exploratory data analysis (EDA) process
Explore the benefits of structuring and cleaning data
Investigate raw data using Python
Create data visualizations using Tableau
Skills you'll gain
Category: Data Visualization SoftwareData Visualization Software
Category: Exploratory Data AnalysisExploratory Data Analysis
Category: Tableau SoftwareTableau Software
Category: Data ValidationData Validation
Category: Data CleansingData Cleansing
Category: Data EthicsData Ethics
Category: Data StorytellingData Storytelling
Category: Data ManipulationData Manipulation
Category: Interactive Data VisualizationInteractive Data Visualization
Category: Data TransformationData Transformation
Category: Data PreprocessingData Preprocessing
Category: Python ProgrammingPython Programming
Category: Data WranglingData Wrangling
Category: Technical CommunicationTechnical Communication
Category: Data QualityData Quality
Category: Data PresentationData Presentation
Category: Data AnalysisData Analysis
Category: Data VisualizationData Visualization
Category: Data ScienceData Science
The Power of Statistics
Course 3, 31 hoursCourse 3•31 hoursCourse details
What you'll learn
Explore and summarize a dataset
Use probability distributions to model data
Conduct a hypothesis test to identify insights about data
Perform statistical analyses using Python
Skills you'll gain
Category: Probability & StatisticsProbability & Statistics
Category: Statistical InferenceStatistical Inference
Category: A/B TestingA/B Testing
Category: Descriptive StatisticsDescriptive Statistics
Category: Statistical Hypothesis TestingStatistical Hypothesis Testing
Category: Statistical MethodsStatistical Methods
Category: Statistical AnalysisStatistical Analysis
Category: Sampling (Statistics)Sampling (Statistics)
Category: Probability DistributionProbability Distribution
Category: ProbabilityProbability
Category: StatisticsStatistics
Category: Advanced AnalyticsAdvanced Analytics
Category: Statistical ProgrammingStatistical Programming
Category: Python ProgrammingPython Programming
Category: Data AnalysisData Analysis
Category: AnalyticsAnalytics
Category: Data ScienceData Science
Regression Analysis: Simplify Complex Data Relationships
Course 4, 28 hoursCourse 4•28 hoursCourse details
What you'll learn
Investigate relationships in datasets
Identify regression model assumptions
Perform linear and logistic regression using Python
Practice model evaluation and interpretation
Skills you'll gain
Category: Regression AnalysisRegression Analysis
Category: Model EvaluationModel Evaluation
Category: Logistic RegressionLogistic Regression
Category: Statistical MethodsStatistical Methods
Category: Statistical Hypothesis TestingStatistical Hypothesis Testing
Category: Correlation AnalysisCorrelation Analysis
Category: Supervised LearningSupervised Learning
Category: Python ProgrammingPython Programming
Category: Machine LearningMachine Learning
Category: Applied Machine LearningApplied Machine Learning
Category: Predictive ModelingPredictive Modeling
Category: Data AnalysisData Analysis
Category: Classification AlgorithmsClassification Algorithms
Category: Variance AnalysisVariance Analysis
Category: Predictive AnalyticsPredictive Analytics
Category: Statistical AnalysisStatistical Analysis
Category: Statistical ModelingStatistical Modeling
The Nuts and Bolts of Machine Learning
Course 5, 34 hoursCourse 5•34 hoursCourse details
What you'll learn
Identify characteristics of the different types of machine learning
Prepare data for machine learning models
Build and evaluate supervised and unsupervised learning models using Python
Demonstrate proper model and metric selection for a machine learning algorithm
Skills you'll gain
Category: Model EvaluationModel Evaluation
Category: Unsupervised LearningUnsupervised Learning
Category: Random Forest AlgorithmRandom Forest Algorithm
Category: Supervised LearningSupervised Learning
Category: Applied Machine LearningApplied Machine Learning
Category: Decision Tree LearningDecision Tree Learning
Category: Feature EngineeringFeature Engineering
Category: Machine Learning AlgorithmsMachine Learning Algorithms
Category: Python ProgrammingPython Programming
Category: Predictive ModelingPredictive Modeling
Category: AnalyticsAnalytics
Category: Machine LearningMachine Learning
Category: Statistical Machine LearningStatistical Machine Learning
Category: Advanced AnalyticsAdvanced Analytics
Category: Model TrainingModel Training
Category: Performance TuningPerformance Tuning
Category: Model OptimizationModel Optimization
Category: Classification AlgorithmsClassification Algorithms
Google Advanced Data Analytics Capstone
Course 6, 6 hoursCourse 6•6 hoursCourse details
What you'll learn
Examine data to identify patterns and trends
Build models using machine learning techniques
Create data visualizations
Explore career resources
Skills you'll gain
Category: Data StorytellingData Storytelling
Category: Applied Machine LearningApplied Machine Learning
Category: Portfolio ManagementPortfolio Management
Category: Machine LearningMachine Learning
Category: Advanced AnalyticsAdvanced Analytics
Category: Machine Learning MethodsMachine Learning Methods
Category: Data VisualizationData Visualization
Category: Data AnalysisData Analysis
Category: Exploratory Data AnalysisExploratory Data Analysis
Category: Regression AnalysisRegression Analysis
Category: Statistical MethodsStatistical Methods
Category: Artificial IntelligenceArtificial Intelligence
Category: Statistical ModelingStatistical Modeling
Category: Statistical AnalysisStatistical Analysis
Category: Analytical SkillsAnalytical Skills
Category: Python ProgrammingPython Programming
Category: AI literacyAI literacy
Category: Predictive ModelingPredictive Modeling
Category: Data ScienceData Science
Category: Data PresentationData Presentation
Accelerate Your Job Search with AI
Course 7, 6 hoursCourse 7•6 hoursCourse details
What you'll learn
Uncover your skills and explore new career possibilities, with support from tools like Career Dreamer.
Keep your applications organized with Google Sheets.
Build a stand out resume and a step-by-step job search plan—with help from Gemini.
Prepare for interviews and practice responding to questions using Gemini Notebook and Gemini Live.
Skills you'll gain
Category: Generative AIGenerative AI
Category: Prompt EngineeringPrompt Engineering
Category: BrandingBranding
Category: Interviewing SkillsInterviewing Skills
Category: Web PresenceWeb Presence
Category: AI literacyAI literacy
Category: Prompt Engineering ToolsPrompt Engineering Tools
Category: Professional DevelopmentProfessional Development
Category: Google GeminiGoogle Gemini
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor
Google Career Certificates
Google
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Frequently asked questions
Is this course really 100% online? Do I need to attend any classes in person?
This course is completely online, so there’s no need to show up to a classroom in person. You can access videos, readings, hands-on activities, and assessments anytime and anywhere via the internet, on a computer, or mobile device.
What is advanced data analytics ?
Advanced data analytics (also known as data science) uses math and statistics, programming, artificial intelligence (AI), and machine learning to uncover insights within an organization’s data. These insights can be used to guide the organization’s decision making and strategic planning.
What kind of companies hire advanced data professionals?
Organizations of all kinds need data professionals to investigate and find stories in data. Advanced data analytics and data science jobs exist in varied industries, from technology to finance to entertainment.
How much does this certificate cost?
In the U.S. and Canada, Coursera charges $49 per month after the initial 7-day free trial period. The Google Advanced 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.
Is this program offered in other languages?
This certificate is currently available globally in English. We are working on adding more languages soon. Some tools - like the employer consortium - are only available in the United States at this time. Please check back here for updates.
What tools and platforms are taught in the curriculum?
You will practice using tools and platforms including Jupyter Notebook, Kaggle, Python, and Tableau.
What background knowledge is necessary?
This program assumes prior knowledge of foundational analytical principles, skills, and tools. These include data types, data strategy, data integrity, data cleaning, data aggregation, data analysis, and best practices when information-sharing. It also requires an understanding of spreadsheets, databases and structured query language, programming concepts, data visualization, and dashboards. This advanced certificate builds on your data analytics skills and experience to help you take your career to the next level. It’s designed for people working in the field of data analytics or for those with foundational skills from the Google Data Analytics CertificateOpens in a new tab
or a similar program.
Do I need to take the courses in a specific order?
We highly recommend taking the courses in this certificate program in the order presented, as the content builds on information from earlier courses.
Which jobs does this program prepare for?
After graduating from this certificate program, you will be prepared for job titles like senior data analyst, data analyst II, associate data scientist, junior data scientist, data analytics scientist, data science analyst, and data analytics consultant.
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.
Senior data analysts and data scientists are responsible for collecting, analyzing, and interpreting large amounts of data within a variety of different organizations. These roles require more advanced analytical skills such as data manipulation, experimental design, predictive modeling, and machine learning.
What will I be able to do upon completing the professional certificate?
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. Advanced Google Career Certificates go deeper in these fields, build on your foundational skills, and are designed to take your career to the next level.
Upon completion of an advanced 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 professionals, like Deloitte, Target, Verizon, 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.
What resources will be available to help with the job search process?
In addition to expert-led training and hands-on projects designed to prepare you for a job, you now have exclusive access to a bonus course: Accelerate Your Job Search with AIOpens in a new tab
. This course is designed to help you navigate the path to your next role more efficiently and confidently.
Why did Google create this program?
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.
Can I get college credit for taking the Advanced Data Analytics Certificate?
Those planning to attend a degree program can utilize ACE®️ recommendationsOpens in a new tab
or ECTS recommendationsOpens in a new tab
, the industry standard for translating workplace learning to college credit. Learners can earn an ACE recommendation of up to 9 college creditsOpens in a new tab
, or 8 ECTS credits, for completing the Advanced 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 CredlyOpens in a new tab
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.
Can I just enroll in a single course?
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. 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.Show all 14 frequently asked questions
More questions
Visit the learner help center
Financial aid available, learn more
²Positive 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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Starts Jul 19
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