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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

(5,158 reviews)

Advanced level

Recommended experience

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

(5,158 reviews)

Advanced level

Recommended experience

Flexible schedule
7 weeks 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

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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
Category: Machine Learning
Category: Data Analysis
Category: Data Science
Category: Business
Category: Analytical Skills
Category: Stakeholder Communications
Category: Workflow Management
Category: Data Storytelling
Category: Project Design
Category: Data Ethics
Category: Business Workflow Analysis
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: Jupyter
Category: Data Structures
Category: Data Analysis
Category: Programming Principles
Category: NumPy
Category: Pandas (Python Package)
Category: Object Oriented Programming (OOP)
Category: Scripting
Category: Algorithms
Category: Data Manipulation

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 Cleansing
Category: Data Validation
Category: Pandas (Python Package)
Category: Tableau Software
Category: Data Storytelling
Category: Data Ethics
Category: Data Manipulation
Category: Matplotlib
Category: Stakeholder Communications
Category: Data Presentation
Category: Jupyter
Category: Python Programming
Category: Data Analysis
Category: Data Transformation
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: Descriptive Statistics
Category: Statistical Hypothesis Testing
Category: Probability Distribution
Category: Probability
Category: Statistics
Category: Sampling (Statistics)
Category: A/B Testing
Category: Statistical Programming
Category: Analytics
Category: Statistical Analysis
Category: Technical Communication
Category: Data Analysis
Category: Sample Size Determination
Category: Advanced Analytics
Category: Jupyter
Category: Statistical Methods
Category: Statistical Software
Category: Data Literacy

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: Statistical Analysis
Category: Variance Analysis
Category: Statistical Hypothesis Testing
Category: Statistical Modeling
Category: Python Programming
Category: Advanced Analytics
Category: Machine Learning Methods
Category: Correlation Analysis
Category: Scikit Learn (Machine Learning Library)
Category: Predictive Modeling
Category: Supervised Learning
Category: 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

Category: Unsupervised Learning
Category: Supervised Learning
Category: Machine Learning
Category: Machine Learning Algorithms
Category: Feature Engineering
Category: Advanced Analytics
Category: Python Programming
Category: Performance Tuning
Category: Data Ethics
Category: Scikit Learn (Machine Learning Library)
Category: Data Analysis
Category: Predictive Modeling

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: Business Analytics
Category: Interviewing Skills
Category: Data Analysis
Category: Regression Analysis
Category: Advanced Analytics
Category: Data-Driven Decision-Making
Category: Machine Learning Methods
Category: Data Visualization
Category: Portfolio Management
Category: Statistical 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

Category: AI Personalization
Category: Talent Sourcing
Category: Communication
Category: Recruitment
Category: Professional Development
Category: Problem Solving
Category: Applicant Tracking Systems
Category: Adaptability
Category: Prompt Engineering
Category: Keyword Research
Category: Generative AI Agents
Category: LinkedIn
Category: Personal Attributes
Category: Professional Networking
Category: 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 Career Certificates

Top Instructor

Google
336 Courses12,829,799 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 (6/1/2024 - 6/1/2025) ² Positive career outcome (e.g., new job, promotion, or raise) within six months of completion. Based on program graduate survey, United States 2022.