Google
Google Advanced Data Analytics Professional Certificate
205,811 enrolled
Top instructor
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

(5,476 reviews)

Advanced level

Recommended experience

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

(5,476 reviews)

Advanced level

Recommended experience

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

Overview

  • 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

What’s included

Shareable certificate

Add to your LinkedIn profile

Taught in English
Recently updated!

May 2025

156 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

Category: Data Analysis
Category: Communication
Category: Stakeholder Communications
Category: Data Ethics
Category: Data-Driven Decision-Making
Category: Analytical Skills
Category: Data Science
Category: Data Literacy
Category: Project Design
Category: Data Management
Category: Data Presentation
Category: Data Storytelling
Category: Project Management
Category: Workflow Management

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

Category: Python Programming
Category: NumPy
Category: Data Structures
Category: Object Oriented Programming (OOP)
Category: Pandas (Python Package)
Category: Data Analysis
Category: Data Visualization
Category: Data Manipulation
Category: Analytical Skills
Category: Jupyter
Category: Programming Principles
Category: Algorithms
Category: Data Cleansing

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: Exploratory Data Analysis
Category: Data Visualization Software
Category: Tableau Software
Category: Data Cleansing
Category: Data Validation
Category: Data Manipulation
Category: Data Storytelling
Category: Data Ethics
Category: Technical Communication
Category: Data Visualization
Category: Data Transformation
Category: Data Presentation
Category: Python Programming
Category: Data Analysis

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: Descriptive Statistics
Category: Statistical Inference
Category: Statistical Hypothesis Testing
Category: Probability Distribution
Category: Sampling (Statistics)
Category: Probability
Category: Statistical Analysis
Category: Statistics
Category: Jupyter
Category: Python Programming
Category: Data Analysis
Category: Data Science
Category: 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

Category: Regression Analysis
Category: Estimation
Category: Statistical Modeling
Category: Statistical Hypothesis Testing
Category: Correlation Analysis
Category: Predictive Modeling
Category: Python Programming
Category: Business Analytics
Category: Statistical Machine Learning
Category: Performance Metric
Category: Statistical Analysis
Category: Scikit Learn (Machine Learning Library)
Category: Data Analysis
Category: Analytics

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: Unsupervised Learning
Category: Random Forest Algorithm
Category: Supervised Learning
Category: Machine Learning Algorithms
Category: Machine Learning
Category: Deep Learning
Category: Python Programming
Category: Decision Tree Learning
Category: Applied Machine Learning
Category: Feature Engineering
Category: Workflow Management
Category: Predictive Modeling
Category: Data Validation
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Performance Metric
Category: Scikit Learn (Machine Learning Library)

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: Portfolio Management
Category: Project Documentation
Category: Data Analysis
Category: Python Programming
Category: Advanced Analytics
Category: Presentations
Category: Machine Learning
Category: Analytical Skills
Category: Artificial Intelligence
Category: Project Management

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

Category: Problem Solving
Category: Resourcefulness
Category: Business Writing
Category: Planning
Category: Prompt Engineering
Category: Resilience
Category: Workforce Development
Category: Professional Development
Category: Generative AI
Category: Applicant Tracking Systems
Category: Branding
Category: Interviewing Skills
Category: Communication

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

Top Instructor

Google
336 Courses13,368,008 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 (8/1/2024 - 8/1/2025) ² Positive career outcome (e.g., new job, promotion, or raise) within six months of completion. Based on program graduate survey, United States 2022.