Google
Google Advanced Data Analytics Professional Certificate

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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.

Included with Coursera Plus

Earn a career credential that demonstrates your expertise

(5,842 reviews)

Advanced level

Recommended experience

6 months at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Earn a career credential that demonstrates your expertise

(5,842 reviews)

Advanced level

Recommended experience

6 months at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers

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

Overview

What’s included

Shareable certificate

Add to your LinkedIn profile

Taught in English
Recently updated!

May 2025

157 practice exercises

Professional Certificate - 8 course series

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

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

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, Object Oriented Programming (OOP), Data Structures, NumPy, Data Analysis, Pandas (Python Package), Algorithms, Data Manipulation, 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 Cleansing, Data Validation, Pandas (Python Package), Tableau Software, Data Storytelling, Data Transformation, Data Processing, Python Programming, Data Quality, Data Analysis, Technical Communication, Data Manipulation, Data Ethics, Data Visualization, and Data Presentation

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

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

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

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

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

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

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

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
Google
378 Courses14,118,077 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 (11/1/2024 - 11/1/2025) ² Positive career outcome (e.g., new job, promotion, or raise) within six months of completion. Based on program graduate survey, United States 2022.