Google Data Analytics Professional Certificate

Prepare for Google data analyst jobs like junior or associate data analyst or database administrator. Data analysts collect, transform and organize data to draw conclusions, make predictions and drive informed decision making. Alvernia’s program provides you access to professional training designed by Google and to top employers. No experience or degree required to enroll.

The Google Data Analytics Professional Certificate includes eight courses to provide you with in-demand skills that prepare you for entry-level jobs. You’ll learn from Google employees whose foundations in data analytics served as launchpads for their own careers.  At under ten hours per week, you can complete the certificate in less than six months.

Data Analyst Practices

Learn the practices & processes used by data-analysts

Organizing Data

Learn how to organize data for analysis, complete analysis, and use spreadsheets, SQL and R

Analytical Skills

Lean analytical skills such as data cleaning & visualization, plus SQL, R, and Tableau

Presentation Skills

Present data in dashboards, presentations and commonly used visualization platforms

Professional Certificate Programs enable you to become empowered and successful in every phase of your job!

Dana Baker

Dana Baker, Executive Director of Regional Campuses

"We are committed to developing current and relevant coursework to help transform our next generation of leaders."

Google Data Analytics

100% Online

Learn on your own schedule

Flexible Schedule

Set and maintain flexible deadlines

Entry Level

No previous experience required

6-Months to Complete

Suggested pace of 10 hours/week; 8 Courses

Google Data Analytics Professional Certificate Courses:

Foundations: Data, Data Everywhere

Organizations of all kinds need data analysts to help them improve their processes, identify opportunities and trends, launch new products and make thoughtful decisions. In this course, you’ll be introduced to the world of data analytics. Current Google data analysts will instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources.

By the end of this course, you will:

  • 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, R programming, Tableau) that you can add to your professional toolbox.
  • 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 to you upon program completion and learn about best practices in the job search.

Ask Questions to Make Data-Driven Decisions

In this second course, you will learn to ask effective questions to make data-driven decisions, while connecting with stakeholders’ needs. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources

By the end of this course, you will:

  • 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.
  • Learn strategies for managing the expectations of stakeholders while establishing clear communication with a data analytics team to achieve business objectives.

Prepare Data for Exploration

Current Google data analysts will continue to teach you to use spreadsheets and SQL to extract and make use of the right data for your objectives and how to organize and protect your data.

By the end of this course, you will:

  • Learn 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.

Process Data from Dirty to Clean

Continue to build your understanding of data analytics and the concepts and tools that data analysts use in their work. You’ll learn how to check and clean your data using spreadsheets and SQL as well as how to verify and report your data cleaning results.

By the end of this course, you will:

  • 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.

Analyze Data to Answer Questions

Explore the “analyze” phase of the data analysis process. You’ll take what you’ve learned to this point and apply it to your analysis to make sense of the data you’ve collected, guided by current Google data analysts.

By the end of this course, you will:

  • Learn 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.

Share Data Through the Art of Visualization

This course will show you how data visualizations, such as visual dashboards, can help bring data to life. You’ll also explore Tableau, a data visualization platform that will help you create effective visualizations for presentations. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources.

By the end of this course, you will:

  • Examine the importance of data visualization.
  • Learn 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 to consider potential limitations associated with the data in your presentations.
  • Understand how to apply best practices to a Q&A with your audience.

Data Analysis with R Programming

Discover the programming language known as R and use RStudio, the environment that allows you to work with R. This course will also cover the software applications and tools that are unique to R, such as R packages.

By the end of this course, you will:

  • Examine the benefits of using the R programming language.
  • Discover how to use RStudio to apply R to your 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 data frames and their use in R.
  • Discover the options for generating visualizations in R.
  • Learn about R Markdown for documenting R programming.

In this final course, you will complete an optional case study, which will help prepare you for the data analytics job hunt. Case studies are commonly used by employers to assess analytical skills. For your case study, you’ll choose an analytics-based scenario and then ask questions, prepare, process, analyze, visualize and act on the data from the scenario. You’ll also learn other useful job hunt skills through videos with common interview questions and responses.

By the end of this course, you will:

  • 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 you will gain: