Google
Google Data Analytics Professional Certificate
Google

Google Data Analytics Professional Certificate

Get on the fast track to a career in Data Analytics. In this certificate program, you’ll learn in-demand skills, and get AI training from Google experts. Learn at your own pace, no degree or experience required.

Google Career Certificates

Top Instructor

2,751,959 already enrolled

Included with Coursera Plus

Earn a career credential that demonstrates your expertise
4.8

(155,923 reviews)

Beginner level

Recommended experience

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

(155,923 reviews)

Beginner level

Recommended experience

Flexible schedule
2.5 months at 10 hours a week
Learn at your own pace
Build toward a degree

What you'll learn

  • Gain an immersive understanding of the practices and processes used by a junior or associate data analyst in their day-to-day job

  • Learn key analytical skills (data cleaning, analysis, & visualization) and tools (spreadsheets, SQL, R programming, Tableau)

  • Understand how to clean and organize data for analysis, and complete analysis and calculations using spreadsheets, SQL and R programming

  • Learn how to visualize and present data findings in dashboards, presentations and commonly used visualization platforms

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English
Recently updated!

May 2025

See how employees at top companies are mastering in-demand skills

 logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Professional Certificate - 9 course series

What you'll learn

  • Define and explain key concepts involved in data analytics including data, data analysis, and data ecosystems.

  • Conduct an analytical thinking self assessment giving specific examples of the application of analytical thinking.

  • Discuss the role of spreadsheets, query languages, and data visualization tools in data analytics.

  • Describe the role of a data analyst with specific reference to jobs.

Skills you'll gain

Category: Data Cleansing
Category: Data Quality
Category: Spreadsheet Software
Category: Data Analysis
Category: Sampling (Statistics)
Category: Data Validation
Category: Data Manipulation
Category: Sample Size Determination
Category: Data Integrity
Category: Data Transformation
Category: SQL

What you'll learn

  • Explain how the problem-solving road map applies to typical analysis scenarios.

  • Discuss the use of data in the decision-making process.

  • Demonstrate the use of spreadsheets to complete basic tasks of the data analyst including entering and organizing data.

  • Describe the key ideas associated with structured thinking.

Skills you'll gain

Category: Interviewing Skills
Category: Data Analysis
Category: Project Documentation
Category: Data Processing
Category: Data Storytelling
Category: LinkedIn
Category: Analytical Skills
Category: Presentations
Category: Artificial Intelligence
Category: Data Cleansing
Category: Google Analytics
Category: Portfolio Management
Category: Data Visualization
Category: R Programming
Prepare Data for Exploration

Prepare Data for Exploration

Course 319 hours

What you'll learn

  • Explain what factors to consider when making decisions about data collection.

  • Discuss the difference between biased and unbiased data.

  • Describe databases with references to their functions and components.

  • Describe best practices for organizing data.

Skills you'll gain

Category: Data Presentation
Category: Spreadsheet Software
Category: Data Analysis
Category: Business Analysis
Category: Data-Driven Decision-Making
Category: Problem Solving
Category: Quantitative Research
Category: Analytical Skills
Category: Stakeholder Communications
Category: Communication
Category: Expectation Management
Category: Dashboard

What you'll learn

  • Define different types of data integrity and identify risks to data integrity.

  • Apply basic SQL functions to clean string variables in a database.

  • Develop basic SQL queries for use on databases.

  • Describe the process of verifying data cleaning results.

Skills you'll gain

Category: Interviewing Skills
Category: Generative AI
Category: Branding
Category: Professional Development

What you'll learn

  • Discuss the importance of organizing your data before analysis by using sorts and filters.

  • Convert and format data.

  • Apply the use of functions and syntax to create SQL queries to combine data from multiple database tables.

  • Describe the use of functions to conduct basic calculations on data in spreadsheets.

Skills you'll gain

Category: Tidyverse (R Package)
Category: Data Analysis
Category: Data Manipulation
Category: Programming Principles
Category: Integrated Development Environments
Category: Rmarkdown
Category: Data Cleansing
Category: Ggplot2
Category: Data Structures
Category: Data Transformation
Category: Data Visualization
Category: Statistical Programming
Category: Data Visualization Software
Category: R Programming

What you'll learn

  • Describe the use of data visualizations to talk about data and the results of data analysis.

  • Identify Tableau as a data visualization tool and understand its uses.

  • Explain what data driven stories are including reference to their importance and their attributes.

  • Explain principles and practices associated with effective presentations.

Skills you'll gain

Category: Analytics
Category: Spreadsheet Software
Category: Data Compilation
Category: Data Analysis
Category: Data Validation
Category: Data Manipulation
Category: Pivot Tables And Charts
Category: Data Transformation
Category: User Feedback
Category: Excel Formulas
Category: Data Integration
Category: SQL

What you'll learn

  • Describe the R programming language and its programming environment.

  • Explain the fundamental concepts associated with programming in R including functions, variables, data types, pipes, and vectors.

  • Describe the options for generating visualizations in R.

  • Demonstrate an understanding of the basic formatting in R Markdown to create structure and emphasize content.

Skills you'll gain

Category: Databases
Category: Data Management
Category: Data Analysis
Category: Data Ethics
Category: Metadata Management
Category: Data Security
Category: Google Sheets
Category: Relational Databases
Category: Data Literacy
Category: Data Collection
Category: SQL
Category: Data Cleansing
Category: Data Quality
Category: Data Access
Category: Unstructured Data

What you'll learn

  • Identify the key features and attributes of a completed case study.

  • Apply the practices and procedures associated with the data analysis process to a given set of data.

  • Discuss the use of case studies/portfolios when communicating with recruiters and potential employers.

  • Gain a competitive edge by learning AI skills from Google experts.

  • Boost your data analytics skills with AI
  • Clean and prepare data with help from AI
  • Organize data and build formulas using AI
  • Use AI to help you ask more effective questions
  • Create engaging data visualizations with AI
  • Improve your R code with help from AI

Skills you'll gain

Category: Data Presentation
Category: Data Analysis
Category: Data Storytelling
Category: Interactive Data Visualization
Category: Data Visualization
Category: Tableau Software
Category: Data Literacy
Category: Presentations
Category: Dashboard
Category: Web Content Accessibility Guidelines
Category: Data Visualization Software

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: Data Cleansing
Category: Spreadsheet Software
Category: Data Management
Category: Data Analysis
Category: Data Ethics
Category: Data Processing
Category: Data-Driven Decision-Making
Category: Data Visualization
Category: Google Sheets
Category: Analytical Skills
Category: Data Sharing
Category: Data Visualization Software
Category: SQL

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 Courses12,555,729 learners

Offered by

Google

Why people choose Coursera for their career

New to Data Analysis? Start here.

Coursera Plus

Open new doors with Coursera Plus

Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

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 (5/1/2024 - 5/1/2025) ² Positive career outcome (e.g., new job, promotion, or raise) within six months of completion. Based on program graduate survey, United States 2022.