Google
Google Advanced Data Analytics Professional Certificate
Google

Google Advanced Data Analytics Professional Certificate

Learn in-demand skills like statistical analysis, Python, regression models, and machine learning in less than 6 months.

Google Career Certificates

Top Instructor

Included with Coursera Plus

Earn a career credential that demonstrates your expertise
4.7

(5,771 reviews)

Advanced level

Recommended experience

Flexible schedule
6 months at 10 hours a week
Learn at your own pace
Build toward a degree
Earn a career credential that demonstrates your expertise
4.7

(5,771 reviews)

Advanced level

Recommended experience

Flexible schedule
6 months at 10 hours a week
Learn at your own pace
Build toward a degree

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

Details to know

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Add to your LinkedIn profile

Taught in English
Recently updated!

May 2025

157 practice exercises

See how employees at top companies are mastering in-demand skills

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Professional Certificate - 8 course series

Foundations of Data Science

Foundations of Data Science

Course 115 hours

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

Data Analysis, Data Ethics, Communication, Artificial Intelligence, Analytics, Business Analytics, Data Science, Stakeholder Communications, Workflow Management, Data Storytelling, Big Data, Data-Driven Decision-Making, and Project Management
Get Started with Python

Get Started with Python

Course 224 hours

What you'll learn

  • Explain how Python is used by data professionals

  • Explore basic Python building blocks, including syntax and semantics

  • Understand loops, control statements, and string manipulation

  • Use data structures to store and organize data 

Skills you'll gain

Python Programming, Data Analysis, NumPy, Data Structures, Object Oriented Programming (OOP), Pandas (Python Package), Data Manipulation, Algorithms, Scripting, Debugging, and Data Visualization

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

Exploratory Data Analysis, Data Visualization Software, Data Validation, Data Cleansing, Pandas (Python Package), Tableau Software, Data Storytelling, Data Quality, Data Presentation, Python Programming, Data Visualization, Data Manipulation, Data Ethics, Data Processing, Data Analysis, Data Transformation, and Technical Communication
The Power of Statistics

The Power of Statistics

Course 431 hours

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

Statistical Inference, Descriptive Statistics, Sampling (Statistics), Probability, Probability Distribution, A/B Testing, Statistical Hypothesis Testing, Statistics, Technical Communication, Python Programming, Data Analysis, Statistical Methods, Statistical Programming, Data Science, and Statistical Analysis

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

Regression Analysis, Statistical Hypothesis Testing, Variance Analysis, Exploratory Data Analysis, Statistical Modeling, Predictive Modeling, Supervised Learning, Python Programming, Machine Learning, Business Analytics, Analytical Skills, Probability & Statistics, Correlation Analysis, Statistical Analysis, Advanced Analytics, Data Analysis, and Scikit Learn (Machine Learning Library)

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

Machine Learning, Supervised Learning, Unsupervised Learning, Random Forest Algorithm, Feature Engineering, Applied Machine Learning, Decision Tree Learning, Classification And Regression Tree (CART), Workflow Management, Data Ethics, Data Validation, Python Programming, Advanced Analytics, and Performance Tuning

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

Project Design, Data Analysis, Data Storytelling, Business Analysis, Artificial Intelligence, Statistical Analysis, Portfolio Management, Predictive Modeling, Data Visualization, Python Programming, Advanced Analytics, Machine Learning, Regression Analysis, and Machine Learning Methods

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 NotebookLM and Gemini Live.

Skills you'll gain

LLM Application, Interviewing Skills, Professional Development, Generative AI, Planning, Google Gemini, Communication, Problem Solving, and Prompt Engineering

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Build toward a degree

When you complete this Professional Certificate, you may be able to have your learning recognized for credit if you are admitted and enroll in one of the following online degree programs.¹

 

Instructor

Google Career Certificates

Top Instructor

Google
374 Courses13,984,318 learners

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Frequently asked questions

¹ Median salary and job opening data are sourced from Lightcast™ Job Postings Report. Content Creator, Machine Learning Engineer and Salesforce Development Representative (1/1/2024 - 12/31/2024) All other job roles (10/1/2024 - 10/1/2025) ² Positive career outcome (e.g., new job, promotion, or raise) within six months of completion. Based on program graduate survey, United States 2022.