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

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2,611,305 already enrolled

Earn a career credential that demonstrates your expertise
4.8

(152,091 reviews)

Beginner 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

(152,091 reviews)

Beginner level

Recommended experience

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

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

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Taught in English

Prepare for a career in Data Analytics

  • Receive professional-level training from Google
  • Demonstrate your proficiency in portfolio-ready projects
  • Earn an employer-recognized certificate from Google
  • Qualify for in-demand job titles: Data Analyst, Junior Data Analyst, Associate Data Analyst
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$92,000+
median U.S. salary for Data Analytics
¹
483,000+
U.S. job openings in Data Analytics
¹
75%
of certificate graduates report career improvement
²

Get exclusive access to career resources upon completion

  • Resume review

    Improve your resume and LinkedIn with personalized feedback

  • Interview prep

    Practice your skills with interactive tools and mock interviews

  • Career support

    Plan your career move with Coursera’s job search guide

Connect with 150+ U.S. hiring organizations in Google’s Employer Consortium

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Earn a career certificate

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Professional Certificate - 8 course series

Foundations: Data, Data, Everywhere

Course 112 hours4.8 (111,611 ratings)

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

Ask Questions to Make Data-Driven Decisions

Course 215 hours4.7 (33,282 ratings)

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: Spreadsheet Software
Category: Data-Driven Decision-Making
Category: Stakeholder Management
Category: Dashboard
Category: Data Presentation
Category: Data Analysis
Category: Systems Thinking
Category: Stakeholder Communications
Category: Analytical Skills
Category: Quantitative Research
Category: Business Analysis

Prepare Data for Exploration

Course 319 hours4.8 (21,645 ratings)

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 Security
Category: Unstructured Data
Category: Data Collection
Category: Metadata Management
Category: Data Ethics
Category: SQL
Category: Data Analysis
Category: Relational Databases
Category: Databases
Category: Data Integrity
Category: Data Management
Category: Data Manipulation
Category: Google Sheets
Category: Data Storage
Category: Data Quality

Process Data from Dirty to Clean

Course 420 hours4.8 (17,661 ratings)

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: Data Manipulation
Category: SQL
Category: Data Cleansing
Category: Data Transformation
Category: Data Integrity
Category: Sampling (Statistics)
Category: Microsoft Excel
Category: Google Sheets
Category: Data Validation
Category: Data Quality
Category: Spreadsheet Software
Category: Data Analysis

Analyze Data to Answer Questions

Course 526 hours4.6 (11,550 ratings)

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: SQL
Category: Spreadsheet Software
Category: Data Manipulation
Category: Data Analysis
Category: Data Validation
Category: Pivot Tables And Charts
Category: Data Import/Export
Category: Excel Formulas
Category: Constructive Feedback
Category: Database Management
Category: Query Languages
Category: Data Transformation

Share Data Through the Art of Visualization

Course 618 hours4.6 (9,366 ratings)

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: Interactive Data Visualization
Category: Data Visualization
Category: Presentations
Category: Data Storytelling
Category: Web Content Accessibility Guidelines
Category: Tableau Software
Category: Stakeholder Engagement
Category: Data Presentation
Category: Data Visualization Software
Category: Dashboard
Category: Design Elements And Principles

Data Analysis with R Programming

Course 731 hours4.8 (10,996 ratings)

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: R Programming
Category: Statistical Analysis
Category: Ggplot2
Category: Rmarkdown
Category: Data Analysis
Category: Data Manipulation
Category: Data Structures
Category: Data Visualization Software
Category: Data Cleansing
Category: Tidyverse (R Package)
Category: Package and Software Management

Google Data Analytics Capstone: Complete a Case Study

Course 812 hours4.8 (17,005 ratings)

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 Analysis
Category: Analytical Skills
Category: Recruitment
Category: Presentations
Category: Business Analytics
Category: Interviewing Skills
Category: Data-Driven Decision-Making
Category: Data Storytelling
Category: Artificial Intelligence
Category: R Programming
Category: Project Documentation
Category: Portfolio Management
Category: Data Processing

Instructor

Google Career Certificates

Top Instructor

Google
326 Courses11,894,769 learners

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¹Lightcast™ US Job Postings (median salary with 0-5 years experience), Jan. 1, 2022 - Dec. 31, 2022). ²Positive career outcome (e.g., new job, promotion, or raise) within six months of completion. Based on program graduate survey, United States 2022.