Google
Google Data Analytics Professional Certificate
Top instructor
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.

Included with Coursera Plus

Earn a career credential that demonstrates your expertise

(162,341 reviews)

Beginner 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

(162,341 reviews)

Beginner 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

  • 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

Overview

What’s included

Shareable certificate

Add to your LinkedIn profile

Taught in English
Recently updated!

May 2025

172 practice exercises

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

Data Analysis, Spreadsheet Software, SQL, Data-Driven Decision-Making, Data Ethics, Analytical Skills, Data Visualization Software, Data Visualization, Data Sharing, Google Sheets, Data Processing, Analytics, Data Collection, Business Analytics, Data Cleansing, and Tableau Software

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

Dashboard, Stakeholder Management, Smart Goals, Data-Driven Decision-Making, Problem Solving, Data Analysis, Analytical Skills, Business Analysis, Quantitative Research, Data Presentation, and Spreadsheet Software

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

Data Security, Metadata Management, Data Ethics, Data Collection, Data Analysis, SQL, Databases, Data Quality, Data Management, Google Sheets, Data Import/Export, Data Storage, Data Literacy, and Unstructured Data

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

Data Cleansing, Data Integrity, Sampling (Statistics), Data Transformation, SQL, Data Quality, Data Processing, Spreadsheet Software, Data Analysis, Data Validation, and Sample Size Determination

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

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

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

Tableau Software, Data Visualization Software, Data Storytelling, Web Content Accessibility Guidelines, Presentations, Dashboard, Data Visualization, Data Analysis, Stakeholder Engagement, Data Literacy, and Data Presentation

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

R Programming, Rmarkdown, Package and Software Management, Data Manipulation, Tidyverse (R Package), Data Analysis, Data Cleansing, Ggplot2, Data Visualization Software, Data Import/Export, Statistical Programming, and Data Visualization

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

Case Studies, LinkedIn, Data Storytelling, Spreadsheet Software, Data Analysis, Business Analytics, Presentations, Interviewing Skills, Data Visualization Software, Data Processing, Analytical Skills, Analysis, Portfolio Management, Artificial Intelligence, Data Visualization, Data Cleansing, and Google Sheets

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

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

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

Top Instructor

Google
374 Courses13,978,492 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.