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JOB-READY SKILLS YOU CAN PUT TO WORK
WITH A FREE GOOGLE CERTIFICATE

Google Data

Analytics

Certificate

Gain in-demand skills and become job-ready
to start your career in Data Analytics

297

Videos

223

Readings

136

Quizzes

86

Exercises

41

Discussions

No Degree or Experience Required

proud partners

Pave your career path to become job-ready and put your skills to work

stand out to employers

Prepare for a new career
unlock new opportunities

Grow anywhere, anytime
at your own pace

Data Analysis Tools

Have working knowledge of essential platforms (spreadsheets, SQL, Tableau, R programming) and when to use them in the data lifecycle

Understand how to translate a business question into a data analysis exercise, including transforming, visualizing, and modeling data

Know how to distill findings into actionable takeaways

Complete a capstone project to be shared on their resume or added to their portfolio to showcase their skills to hiring partners

Develop in-demand skills
and become job-ready

Data cleansing
Questioning
Data visualization
Decision making
Problem solving
SQL

Decision making
Metadata
Data collection
Sample size determination
Data ethics

Discover your ideal career
for the future

junior data analyst

finance analyst

associate data analyst

operations analyst

data technician

business performance analyst

marketing analyst

healthcare analyst

Foundations: Data, Data, Everywhere

About this course

Learners gain a deeper understanding of foundational data analytics terminology and the role responsibilities of a data analyst. An introduction to the kind of jobs learners might pursue after completing this program is also covered.

What you will learn

- Gain an understanding of the practices and processes used by a junior or associate data analyst in their day-to-day job
- Learn about key analytical skills (data cleaning, data analysis, data visualization) and tools (spreadsheets, SQL, Tableau, R programming)
- Discover a wide variety of terms and concepts relevant to the role of a junior data analyst, such as the data life cycle and the data analysis process
- Evaluate the role of analytics in the data ecosystem
- Conduct an analytical thinking self-assessment
- Explore job opportunities available upon program completion and learn about best practices in the job search

Skills Acquired

Spreadsheet basics
Database and query basics
Data visualization (DataViz) basics

Topics

Introducing data analytics
Thinking analytically
Exploring the wonderful world of data
Setting up a data toolbox
Discovering data career possibilities

Ask Questions to Make Data-Driven Decisions

About this course

Learners build on the topics introduced in the first course and cover how to ask effective questions to make data-driven decisions, while connecting with stakeholders’ needs.

What you will learn

- Learn about effective questioning techniques that can help guide analysis
- Gain an understanding of data-driven, decision-making, and how data analysts present findings
- Explore a variety of real-world business scenarios to support an understanding of questioning and decision-making
- Discover how and why spreadsheets are an important tool for data analysts
- Examine the key ideas associated with structured thinking and how they can help analysts better understand problems and develop solutions
- Manage the expectations of stakeholders while establishing clear communication with a data analytics team to achieve business objectives

Skills Acquired

Spreadsheet formulas & functions
Asking SMART and effective questions
Dashboard basics, including Tableau
Managing team and stakeholder expectations

Topics

Asking effective questions
Making data-driven decisions
Learning spreadsheet basics
Always remember the stakeholder

Prepare Data for Exploration

About this course

Learners build on the topics introduced in the first two courses. In addition, explore how to use tools like spreadsheets and SQL to extract and make use of the right data for key objectives in an organized and protected manner.

What you will learn

- Find out how analysts decide which data to collect for analysis
- Learn about structured and unstructured data, data types, and data formats
- Discover how to identify different types of bias in data to help ensure data credibility
- Explore how analysts use spreadsheets and SQL with databases and data sets
- Examine open data and the relationship between and importance of data ethics and data privacy
- Gain an understanding of how to access databases and extract, filter, and sort the data they contain
- Learn the best practices for organizing data and keeping it secure

Skills Acquired

Understanding data types, fields, and values
Writing simple queries
Metadata in data analytics
SQL functions

Topics

Data types and data structures
Understanding bias, credibility, privacy, ethics, and access
Databases: where data lives
Organizing and protecting your data
[optional] Engaging in the data community

Process Data from Dirty to Clean

About this course

Learners build on topics introduced in previous courses and also explore how to check and clean data using spreadsheets and SQL. We also explore how to verify and report data cleaning results.

What you will learn

- Learn how to check for data integrity
- Discover data cleaning techniques using spreadsheets
- Develop basic SQL queries for use on databases
- Apply basic SQL functions for cleaning and transforming data
- Gain an understanding of how to verify the results of cleaning data
- Explore the elements and importance of data cleaning reports

Skills Acquired

Statistics, hypothesis testing, and margin of error
Tools and processes for data cleansing
Data integrity

Topics

Before you clean, check for integrity
All about clean data
Cleaning data in SQL
Verify and report your cleaning results
[optional] Adding data to your resume

Analyze Data to Answer Questions

About this course

Learners explore the “analyze” phase of the data analysis process by learning how to organize and format the data using spreadsheets and SQL to help you look at and think about your data in different ways. Discover how to perform complex calculations on data to complete business objectives. Additionally, learners are exposed to how to use formulas, functions, and SQL queries to conduct analysis.

What you will learn

- Learn how to organize data for analysis
- Discover the processes for formatting and adjusting data
- Gain an understanding of how to aggregate data in spreadsheets and by using SQL
- Use formulas and functions in spreadsheets for data calculations
- Learn how to complete calculations using SQL queries

Skills Acquired

Sorting and filtering data with SQL
Spreadsheet calculations
SQL calculations
Data validation
Temporary and pivot tables

Topics

Organizing data to begin analysis
Formatting and adjusting data
Aggregating data for analysis
Performing data calculations

Share Data Through the Art of Visualization

About this course

Learners explore how to visualize and present data findings during the data analysis process. This module demonstrates how data visualizations, such as visual dashboards, can help bring data to life. Learners explore Tableau, a data visualization platform that helps create effective visualizations for presentations.

What you will learn

- Examine the importance of data visualization
- Learn how to form a compelling narrative through data stories
- Gain an understanding of how to use Tableau to create dashboards and dashboard filters
- Discover how to use Tableau to create effective visualizations
- Explore the principles and practices involved with effective presentations
- Learn how to consider potential limitations associated with the data in your presentations
- Understand how to apply best practices to a Q&A with your audience

Skills Acquired

Design thinking
Tableau software
Data-driven storytelling
Dashboards and dashboard filters

Topics

Visualizing data
Creating data visualizations with Tableau
Crafting data stories
Developing presentations and slideshows

Data Analysis with R Programming

About this course

Learners explore the programming language known as R with an environment called RStudio. This course also covers the software applications and tools that are unique to R, such as R packages. Learners also discover how to clean, organize, analyze, visualize, and report data in new and more powerful ways using R.

What you will learn

- Examine the benefits of using the R programming language
- Discover how to use RStudio to apply R to data analysis
- Explore the fundamental concepts associated with programming in R
- Explore the contents and components of R packages including the Tidyverse package
- Gain an understanding of dataframes and their use in R
- Discover the options for generating visualizations in R
- Learn about R Markdown for documenting R programming

Skills Acquired

R programming functions, variables, data types, pipes, and vectors
Coding, writing functions, accessing and cleaning data, and generating visualizations in R

Topics

Programming and data analytics
Programming using Rstudio
More about visualizations, aesthetics, and annotations
Documentation and reports

Capstone: Complete a Case Study

About this course

Learners have the opportunity to complete an optional case study. The case studies are commonly used by employers to assess analytical skills. For their case study, they’ll choose an analytics-based scenario, ask questions, prepare, process, analyze, visualize and act on the data from the scenario.

What you will learn

- Learn the benefits and uses of case studies and portfolios in the job search
- Explore real world job interview scenarios and common interview questions
- Discover how case studies can be a part of the job interview process
- Examine and consider different case study scenarios
- Have the chance to complete your own case study for your portfolio

Skills Acquired

Building a job portfolio
Practical, real-world problem solving
Clear presentation of data findings
Showcasing data analytics skills, knowledge, and technical expertise

Topics

Learn about capstone basics
Putting your certificate to work
[optional] Building your portfolio
[optional] Using your portfolio

Let's Get Started

Privacy Consent

By registering for this Google Career Certificate Scholarship Program, you acknowledge that your information will be used in accordance with the Department for Work and Pensions' Privacy Policy. Your data may be shared with the Department for Work and Pensions' partners (including Google and Coursera). If you have any questions about your data, or want it deleted, please reach out to dwp-scholarship-uk@coursera.org.

Shareable Certificate

Earn a Certificate upon completion

100% Online Course

Start instanstly to learn at your own pace

Flexible Schedule

Set and maintain flexible deadlines

Why Google career certificate?

Meet Employers that recognise Google Career Certificate as relevant Work Experience in their recruitment process

Hear from Google’s Graduates who paved their path to career success

The Google Data Analytics Certificate is a great program. In my personal experience, it got me somewhere. Even if you get an entry level job, you start at a decent salary and get your foot in the door, into an industry that is booming.

Karrim

Associate Analyst at Infosys

A PLATFORM BY CREATIVES FOR YOU LTD.

About us
Students
Businesses
Contact us

Google Data Analytics Certificate

297

223

136

86

41

Prepare for a new careerunlock new opportunities

Grow anywhere, anytimeat your own pace

Data Analysis Tools

Design Thinking

Understand how to translate a business question into a data analysis exercise, including transforming, visualizing, and modeling data

Experiential Learning

Know how to distill findings into actionable takeaways

Portfolio Development

Complete a capstone project to be shared on their resume or added to their portfolio to showcase their skills to hiring partners

Develop in-demand skillsand become job-ready

Discover your ideal careerfor the future

Foundations: Data, Data, Everywhere

About this course

What you will learn

Skills Acquired

Topics

Ask Questions to Make Data-Driven Decisions

About this course

What you will learn

Skills Acquired

Topics

Prepare Data for Exploration

About this course

What you will learn

Skills Acquired

Topics

Process Data from Dirty to Clean

About this course

What you will learn

Skills Acquired

Topics

Analyze Data to Answer Questions

About this course

What you will learn

Skills Acquired

Topics

Share Data Through the Art of Visualization

About this course

What you will learn

Skills Acquired

Topics

Data Analysis with R Programming

About this course

What you will learn

Skills Acquired

Topics

Capstone: Complete a Case Study

About this course

What you will learn

Skills Acquired

Topics

Let's Get Started

Shareable Certificate

100% Online Course

Flexible Schedule

Hear from Google’s Graduates who paved their path to career success

Karrim

Google Data

Analytics

Certificate

Prepare for a new career
unlock new opportunities

Grow anywhere, anytime
at your own pace

Develop in-demand skills
and become job-ready

Discover your ideal career
for the future