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

Access provided by New York State Department of Labor

2,622,524 already enrolled

Earn a career credential that demonstrates your expertise
4.8

(152,388 reviews)

Beginner level

Recommended experience

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

(152,388 reviews)

Beginner level

Recommended experience

Flexible schedule
6 months, 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

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
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Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

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Professional Certificate - 8 course series

Foundations: Data, Data, Everywhere

Course 112 hours4.8 (111,802 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: SQL
Category: Data Visualization Software
Category: Data-Driven Decision-Making
Category: Data Processing
Category: Data Ethics
Category: Analytical Skills
Category: Data Sharing
Category: Data Strategy
Category: Data Cleansing
Category: Google Sheets
Category: Analytics
Category: Business Analytics

Ask Questions to Make Data-Driven Decisions

Course 215 hours4.7 (33,317 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: Dashboard
Category: Stakeholder Management
Category: Spreadsheet Software
Category: Data-Driven Decision-Making
Category: Data Analysis
Category: Business Analysis
Category: Expectation Management
Category: Data Entry
Category: Analytical Skills
Category: Quantitative Research
Category: Stakeholder Communications

Prepare Data for Exploration

Course 319 hours4.8 (21,673 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: Metadata Management
Category: Data Analysis
Category: Relational Databases
Category: Data Collection
Category: Data Ethics
Category: SQL
Category: Data Management
Category: Google Sheets
Category: Data Integrity
Category: Data Storage
Category: Databases
Category: Data Quality
Category: Data Manipulation

Process Data from Dirty to Clean

Course 420 hours4.8 (17,698 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: SQL
Category: Data Cleansing
Category: Data Manipulation
Category: Data Integrity
Category: Sampling (Statistics)
Category: Data Transformation
Category: Data Analysis
Category: Spreadsheet Software
Category: Google Sheets
Category: Data Validation
Category: Data Quality
Category: Microsoft Excel

Analyze Data to Answer Questions

Course 526 hours4.6 (11,566 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: Pivot Tables And Charts
Category: Data Validation
Category: Data Analysis
Category: Data Transformation
Category: Query Languages
Category: Database Management
Category: Data Import/Export
Category: Excel Formulas
Category: Constructive Feedback

Share Data Through the Art of Visualization

Course 618 hours4.6 (9,382 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: Presentations
Category: Data Visualization
Category: Data Storytelling
Category: Interactive Data Visualization
Category: Web Content Accessibility Guidelines
Category: Tableau Software
Category: Data Presentation
Category: Data Visualization Software
Category: Dashboard
Category: Design Elements And Principles

Data Analysis with R Programming

Course 731 hours4.8 (11,015 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: Data Analysis
Category: Ggplot2
Category: Data Manipulation
Category: Statistical Analysis
Category: Rmarkdown
Category: Data Structures
Category: Data Cleansing
Category: Data Visualization Software
Category: Tidyverse (R Package)
Category: Package and Software Management

Google Data Analytics Capstone: Complete a Case Study

Course 812 hours4.8 (17,060 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: Analytical Skills
Category: Data Analysis
Category: Business Analytics
Category: R Programming
Category: Recruitment
Category: Project Documentation
Category: Portfolio Management
Category: Data Processing
Category: Data-Driven Decision-Making
Category: Data Storytelling
Category: Artificial Intelligence
Category: Interviewing Skills
Category: Presentations

Instructor

Google Career Certificates

Top Instructor

Google
326 Courses11,958,528 learners

Offered by

Google

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

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Degree credit eligible

This Professional Certificate has ACE® recommendation. It is eligible for college credit at participating U.S. colleges and universities. Note: The decision to accept specific credit recommendations is up to each institution.

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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.