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professional certificate

Google Data Analytics

About this Professional Certificate

Get ready for a new career in data analytics, with no experience or degree required. Receive professional training powered by Google and get the opportunity to connect with top employers. 

Data analysis is the collection, transformation and organization of data to draw conclusions, make predictions and guide informed decision making.

Over eight courses, you'll develop the skills you need to land an early-career job in the field. You'll learn from Google employees who improved their careers based on the data analytics they had. The certificate can be completed in as little as six months with less than 10 hours a week.

You will prepare for jobs such as: junior or associate data analyst, database administrator and more. Upon completion of the certificate, you will be able to apply for jobs in the job market.

75% of US Google Certified students report an improvement in their careers within 6 months of earning certification.

View all Google Career Certificateshere.

Source: *Based on survey responses of program graduates, United States, 2021

Courses in this Professional Certificate

Course1

Fundamentals- Data, data everywhere:

This is the first Google Data Analytics Certificate course. These courses will give you the skills you need to apply for entry-level data analyst jobs. Organizations of all types need data analysts to help them improve processes, identify opportunities and trends, launch new products and make informed decisions. In this course, you will experience the world of data analysis with a hands-on curriculum developed by Google. The material shared covers many important data analytics topics and is designed to provide an overview of what's to come in the Google Data Analytics Certificate. Google Data Analysts will educate and provide practical ways to accomplish common data analyst tasks with the best tools and resources. Students who complete this certificate program will be able to apply for entry-level data analyst jobs. No previous experience is required. By the end of this course, you will be able to: - Have an understanding of the practices and processes used by a junior or associate data analyst in day-to-day work. - Learn about key analytical skills (data cleaning, analysis and visualization) and tools (spreadsheets, SQL, R programming, Tableau) that you can add to the professional tools you already have. - Discover a wide variety of terms and concepts relevant to the junior data analyst role, such as the data lifecycle and data analysis process. - Assess the role of analytics in the data ecosystem. - Perform a self-assessment of analytical thinking. - Explore job opportunities available upon completion of the program and learn about best practices when looking for a job.

Course2

Ask questions to make data-driven decisions:

This is the second course in the Google Data Analysis Certificate. These courses will give you the skills you need to apply for entry-level data analyst jobs. You will learn about topics that were introduced in the first Google Data Analytics Certificate course. The material will help you learn how to ask effective questions to make data-driven decisions while connecting with stakeholder needs. Google Data Analysts will educate and provide practical ways to accomplish common data analyst tasks with the best tools and resources. Students who complete this certificate program will be able to apply for entry-level jobs as a data analyst. No previous experience is required. By the end of this course, you will be able to: - Learn about effective techniques for asking questions that can help guide your analysis. - Gain an understanding of data-driven decision making and how data analysts present findings. - Explore a range of different real-world business scenarios to help you understand questioning and decision making. - Discovering how and why spreadsheets are an important tool for the data analyst. - Examine the main ideas associated with structured thinking and how they can help analysts better understand problems and develop solutions. - Learn strategies for managing stakeholder expectations while establishing clear communication with a data analysis team to achieve business objectives.

Course4

Process the data to clear it:

This is the fourth course in the Google Data Analytics Certificate. These courses will give you the skills you need to apply for entry-level data analyst jobs. In this course, you will continue to expand your knowledge of data analytics and the concepts and tools that data analysts use at work. You'll learn how to check and clean data using spreadsheets and SQL, and how to check and report data cleaning results. Google Data Analysts will educate and provide practical ways to accomplish common data analyst tasks with the best tools and resources. Students who complete this certificate program will be able to apply for entry-level data analyst jobs. No previous experience is required. See what you'll be able to do by the end of this course: - Verify data integrity. - Apply data cleaning techniques using spreadsheets. - Develop basic SQL queries to be used in databases. - Apply basic SQL functions to clean and transform data. - Understand how to check data cleaning results. - Explore the elements and importance of data cleansing reports.

Course4

Process the data to clear it:

This is the fourth course in the Google Data Analytics Certificate. These courses will give you the skills you need to apply for entry-level data analyst jobs. In this course, you will continue to expand your knowledge of data analytics and the concepts and tools that data analysts use at work. You'll learn how to check and clean data using spreadsheets and SQL, and how to check and report data cleaning results. Google Data Analysts will educate and provide practical ways to accomplish common data analyst tasks with the best tools and resources. Students who complete this certificate program will be able to apply for entry-level data analyst jobs. No previous experience is required. See what you'll be able to do by the end of this course: - Verify data integrity. - Apply data cleaning techniques using spreadsheets. - Develop basic SQL queries to be used in databases. - Apply basic SQL functions to clean and transform data. - Understand how to check data cleaning results. - Explore the elements and importance of data cleansing reports.

Course5

Analyze data to answer questionsntas:

This is the fifth course in the Google Data Analytics Certificate. These courses will give you the skills you need to apply for entry-level data analyst jobs. In this course, you will explore the analysis step of the data analysis process. You will apply what you have learned so far in analysis to interpret the collected data. You will learn how to organize and format your data using spreadsheets and SQL to help you look at and interpret data in different ways. You'll also discover how to perform complex calculations on your data to meet business objectives. You'll learn to use formulas, functions, and SQL queries as you perform your analyses. Google Data Analysts will educate and provide practical ways to accomplish common data analyst tasks with the best tools and resources. Students who complete this certificate program will be able to apply for entry-level data analyst jobs. No previous experience is required. By the end of this course, you will be able to: - Organize data for analysis. - Master the processes to format and adjust the data. - Understand how to aggregate data in spreadsheets and using SQL. - Use formulas and functions in spreadsheets for data calculations. - Do full calculations using SQL queries.

Course6

Share the data with the preview art:

This is the sixth course in the Google Data Analytics Certificate. These courses will give you the skills you need to apply for entry-level data analyst jobs. You will learn to visualize and present findings as you complete the data analysis process. This course will show you how data visualizations like dashboards can help bring your data to life. You'll also discover Tableau, a data visualization platform that helps you create effective visualizations for your presentations. Google Data Analysts will educate and provide practical ways to accomplish common data analyst tasks with the best tools and resources. Students who complete this certificate program will be able to apply for entry-level data analyst jobs. No previous experience is required. By the end of this course, you will be able to: - Examine the importance of data visualization. - Know how to develop an interesting narrative to tell the story of the data. - Understand how to use Tableau to create dashboards and dashboard filters. - Know how to use Tableau to create effective visualizations. - Explore the principles and practices for creating effective presentations. - Consider possible limitations associated with data in your presentations. - Understand how to apply Q&A best practices with your target audience.

Course7

Data analysis with programming inA:

This is the seventh course in the Google Data Analytics Certificate. These courses will give you the skills you need to apply for entry-level data analyst jobs. In this course, you will learn about the programming language known as R. You will discover how to use RStudio, the environment that allows you to work in R. The course will also cover R-unique software applications and tools, such as R packages. You'll discover how you can clean, organize, analyze, visualize, and report on data using R in powerful new ways. Google Data Analysts will educate and provide practical ways to accomplish common data analyst tasks with the best tools and resources. Students who complete this certificate program will be able to apply for entry-level data analyst jobs. No previous experience is required. By the end of this course, you will be able to: - Examine the benefits of using the R programming language. - Use RStudio to apply R to your analyses. - Explore the fundamental concepts of programming in R. - Explore the contents and components of R packages, including the Tidyverse package. - Understand dataframes and their use in R. - Know options for generating views in R. - Know about R Markdown to document programming in R.

Course8

Final Google Data Analytics Project: Complete a case study.

This is the eighth course in the Google Data Analytics Certificate. You will have the opportunity to complete an optional case study, which will help you prepare for your Data Analytics job search. Case studies are often used by employers to assess analytical skills. For your case study, choose a scenario based on analytics. Then ask questions, prepare, process, analyze, visualize, and act on the data in that scenario. You'll also learn other useful interview skills through videos of common interview questions and answers, helpful materials for building an online portfolio, and much more. Google Data Analysts will educate and provide practical ways to accomplish common data analyst tasks with the best tools and resources. Students who complete this certificate program will be able to apply for entry-level data analyst jobs. No previous experience is required. By the end of this course, you will be able to: - Know the benefits and uses of case studies and portfolios when looking for a job. - Explore real job interview situations and common interview questions. - Discover how case studies can be part of the selection process. - Examine and consider different case study scenarios. - Create your own case study for your portfolio.

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