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

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4.8

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Advanced level

Recommended experience

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

(5,319 reviews)

Advanced level

Recommended experience

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

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

Shareable certificate

Add to your LinkedIn profile

Taught in English

Advance your career with in-demand skills

  • Receive professional-level training from Google
  • Demonstrate your technical proficiency
  • Earn an employer-recognized certificate from Google
  • Qualify for in-demand job titles: senior data analyst, junior data scientist, data science analyst
75%
of certificate graduates report positive career outcome
¹

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: Machine Learning
Category: Communication Strategies
Category: Communication
Category: Data Ethics
Category: Data Analysis
Category: Business Ethics
Category: Analytics
Category: Data Science
Category: Project Management
Category: Business Analytics
Category: Data Literacy
Category: Workflow Management
Category: Data-Driven Decision-Making
Category: Analytical Skills
Category: Stakeholder Communications
Category: Data Storytelling
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: Object Oriented Programming (OOP)
Category: Data Analysis
Category: NumPy
Category: Programming Principles
Category: Pandas (Python Package)
Category: Scripting
Category: Data Structures
Category: Data Visualization
Category: Data Manipulation
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: Data Cleansing
Category: Pandas (Python Package)
Category: Tableau Software
Category: Data Storytelling
Category: Data Manipulation
Category: Data Visualization
Category: Python Programming
Category: Data Ethics
Category: Technical Communication
Category: Data Processing
Category: Data Analysis
Category: Data Transformation
Category: Data Quality
Category: Data Presentation
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
Category: A/B Testing
Category: Statistics
Category: Probability Distribution
Category: Sampling (Statistics)
Category: Statistical Analysis
Category: Data Science
Category: Statistical Methods
Category: Technical Communication
Category: Data Analysis
Category: Python Programming
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: Statistical Hypothesis Testing
Category: Variance Analysis
Category: Statistical Modeling
Category: Exploratory Data Analysis
Category: Python Programming
Category: Predictive Modeling
Category: Data Analysis
Category: Business Analytics
Category: Supervised Learning
Category: Scikit Learn (Machine Learning Library)
Category: Correlation Analysis
Category: Statistical Analysis
Category: Machine Learning
Category: Analytical Skills
Category: Probability & Statistics
Category: Advanced 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: Supervised Learning
Category: Random Forest Algorithm
Category: Machine Learning
Category: Decision Tree Learning
Category: Machine Learning Algorithms
Category: Performance Metric
Category: Feature Engineering
Category: Classification And Regression Tree (CART)
Category: Predictive Modeling
Category: Python Programming
Category: Data Ethics
Category: Workflow Management
Category: Advanced Analytics
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: Regression Analysis
Category: Project Portfolio Management
Category: Python Programming
Category: Data Analysis
Category: Business Analysis
Category: Data Storytelling
Category: Predictive Modeling
Category: Advanced Analytics
Category: Machine Learning
Category: Data Visualization
Category: Artificial Intelligence
Category: Statistical Analysis
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: Professional Development
Category: Interviewing Skills
Category: Generative AI
Category: Problem Solving
Category: Communication
Category: Prompt Engineering
Category: Personal Attributes
Category: Applicant Tracking Systems

Earn a career certificate

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Instructor

Google Career Certificates

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Google
336 Courses13,084,546 learners

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Frequently asked questions

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