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Google Advanced Data Analytics Professional Certificate

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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

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4.8

(5,301 reviews)

Advanced level

Recommended experience

Flexible schedule
6 months, 10 hours a week
Learn at your own pace
Build toward a degree
Earn a career credential that demonstrates your expertise
4.8

(5,301 reviews)

Advanced level

Recommended experience

Flexible schedule
6 months, 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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Taught in English
Recently updated!

May 2025

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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

Category: Communication Strategies
Category: Data Ethics
Category: Data Analysis
Category: Machine Learning
Category: Communication
Category: Data Storytelling
Category: Business Ethics
Category: Analytical Skills
Category: Workflow Management
Category: Project Management
Category: Business Analytics
Category: Data Literacy
Category: Analytics
Category: Data Science
Category: Stakeholder Communications
Category: Data-Driven Decision-Making
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

Category: Python Programming
Category: Programming Principles
Category: Object Oriented Programming (OOP)
Category: Data Analysis
Category: Pandas (Python Package)
Category: NumPy
Category: Data Structures
Category: Scripting
Category: Data Manipulation
Category: Data Visualization
Category: Algorithms

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: Data Validation
Category: Pandas (Python Package)
Category: Tableau Software
Category: Data Cleansing
Category: Data Storytelling
Category: Data Manipulation
Category: Python Programming
Category: Data Analysis
Category: Data Ethics
Category: Data Processing
Category: Data Visualization
Category: Data Presentation
Category: Data Quality
Category: Data Transformation
Category: 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

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

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

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: Supervised Learning
Category: Random Forest Algorithm
Category: Machine Learning
Category: Machine Learning Algorithms
Category: Feature Engineering
Category: Performance Metric
Category: Decision Tree Learning
Category: Classification And Regression Tree (CART)
Category: Advanced Analytics
Category: Python Programming
Category: Predictive Modeling
Category: Data Ethics
Category: Workflow Management
Category: 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

Category: Predictive Modeling
Category: Statistical Analysis
Category: Python Programming
Category: Machine Learning
Category: Artificial Intelligence
Category: Regression Analysis
Category: Project Portfolio Management
Category: Business Analysis
Category: Data Storytelling
Category: Data Analysis
Category: Advanced Analytics
Category: Data Visualization
Category: 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

Category: Interviewing Skills
Category: Applicant Tracking Systems
Category: Problem Solving
Category: Personal Attributes
Category: Prompt Engineering
Category: Professional Development
Category: Generative AI
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 Career Certificates

Top Instructor

Google
336 Courses13,074,895 learners

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Google

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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 (7/1/2024 - 7/1/2025) ² Positive career outcome (e.g., new job, promotion, or raise) within six months of completion. Based on program graduate survey, United States 2022.