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.

Included with Coursera Plus

Earn a career credential that demonstrates your expertise

(5,816 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

(5,816 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

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

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, Pandas (Python Package), NumPy, Data Structures, Object Oriented Programming (OOP), Data Analysis, Debugging, Algorithms, Data Manipulation, Data Visualization, and Scripting

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

Data Visualization Software, Exploratory Data Analysis, Data Validation, Pandas (Python Package), Tableau Software, Data Cleansing, Data Storytelling, Data Transformation, Data Presentation, Python Programming, Data Analysis, Data Ethics, Data Visualization, Technical Communication, Data Quality, Data Manipulation, and Data Processing

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

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

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

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

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

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

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 Courses14,076,028 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 (10/1/2024 - 10/1/2025) ² Positive career outcome (e.g., new job, promotion, or raise) within six months of completion. Based on program graduate survey, United States 2022.