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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2,522,893 already enrolled

Earn a career credential that demonstrates your expertise
4.8

(148,434 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

(148,434 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

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

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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

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Professional Certificate - 8 course series

Foundations: Data, Data, Everywhere

Course 112 hours4.8 (109,211 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 Science
Category: Data Analysis
Category: Spreadsheet Software
Category: Data Analysis Software
Category: Analytics
Category: Office Administration
Category: Analytical Skills
Category: Data Ethics
Category: Business Analytics
Category: Productivity Software
Category: Data Governance
Category: Statistical Analysis
Category: Data Management
Category: Query Languages
Category: Database Systems
Category: Database Management Systems
Category: Databases
Category: Data Visualization
Category: Business Intelligence
Category: Data-Driven Decision-Making

Ask Questions to Make Data-Driven Decisions

Course 215 hours4.7 (32,833 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: Data Analysis
Category: Data Science
Category: Spreadsheet Software
Category: Stakeholder Management
Category: Business Analytics
Category: Productivity Software
Category: Analytics
Category: Stakeholder Engagement
Category: Business Intelligence
Category: Analytical Skills
Category: Data Analysis Software
Category: Statistical Analysis
Category: Strategic Decision-Making
Category: Dashboard
Category: Interactive Data Visualization
Category: Tableau Software
Category: Stakeholder Communications
Category: Data Presentation
Category: Business Intelligence Software
Category: Data-Driven Decision-Making

Prepare Data for Exploration

Course 324 hours4.8 (21,233 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 Management
Category: Data Ethics
Category: Data Governance
Category: Database Management Systems
Category: Information Management
Category: Database Systems
Category: Data Collection
Category: Data Strategy
Category: Data Science
Category: Unstructured Data
Category: Data Integration
Category: Data Architecture
Category: Data Processing
Category: Spreadsheet Software
Category: Data Compilation
Category: Data Access
Category: Data Analysis
Category: Relational Databases
Category: Data Quality
Category: Databases

Process Data from Dirty to Clean

Course 426 hours4.8 (17,304 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 Validation
Category: Data Analysis
Category: Data Cleansing
Category: Data Management
Category: Data Manipulation
Category: Sampling (Statistics)
Category: Data Quality
Category: Data Governance
Category: Statistics
Category: Data Processing
Category: Data Transformation
Category: Data Integrity
Category: Extract, Transform, Load
Category: Database Application
Category: Data Collection
Category: Data Integration
Category: Spreadsheet Software
Category: Data Wrangling
Category: Data Mapping
Category: Databases

Analyze Data to Answer Questions

Course 533 hours4.6 (11,378 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: Data Analysis
Category: Data Validation
Category: Business Analytics
Category: Data Science
Category: Data Analysis Software
Category: Analytics
Category: Statistical Analysis
Category: SQL
Category: Data Cleansing
Category: Database Management Systems
Category: Data Management
Category: Data Presentation
Category: Query Languages
Category: Relational Databases
Category: Spreadsheet Software
Category: Data Manipulation
Category: Productivity Software
Category: Pivot Tables And Charts
Category: Databases
Category: Excel Formulas

Share Data Through the Art of Visualization

Course 624 hours4.6 (9,212 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 Presentation
Category: Statistical Visualization
Category: Data Storytelling
Category: Data Visualization
Category: Business Intelligence Software
Category: Tableau Software
Category: Presentations
Category: Data Visualization Software
Category: Public Speaking
Category: Data Analysis Software
Category: General Sales Practices
Category: Analytics
Category: Data Science
Category: Overcoming Objections
Category: Dashboard
Category: Business Analytics
Category: Data Analysis
Category: Business Intelligence
Category: Statistical Analysis

Data Analysis with R Programming

Course 733 hours4.8 (10,736 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 Programming
Category: Tidyverse (R Package)
Category: Data Analysis
Category: Analytics
Category: Ggplot2
Category: Statistical Analysis
Category: Data Science
Category: Rmarkdown
Category: Statistical Visualization
Category: Data Visualization
Category: Statistics
Category: Statistical Methods
Category: Data Manipulation
Category: Data Processing
Category: Data Wrangling
Category: Data Mapping
Category: Data Transformation
Category: Extract, Transform, Load
Category: Probability & Statistics

Google Data Analytics Capstone: Complete a Case Study

Course 813 hours4.8 (16,367 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: Interviewing Skills
Category: Data Visualization
Category: Data Science
Category: LinkedIn
Category: Statistical Machine Learning
Category: Social Media
Category: Statistical Visualization
Category: Statistical Programming
Category: R Programming
Category: Dashboard
Category: Business Analytics
Category: Data Analysis
Category: Communication
Category: Interactive Data Visualization
Category: Data Presentation
Category: Communication Strategies
Category: Business Intelligence
Category: Data Storytelling
Category: Interpersonal Communications
Category: Analytics

Instructor

Google Career Certificates

Top Instructor

Google
325 Courses11,429,538 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.