Data Analytics Career Certificate
About this Professional Certificate
Prepare for a new career in the high-growth field of data analytics, no experience or degree required. Get professional training designed by Google and have the opportunity to connect with top employers. There are 380,000 U.S. job openings in data analytics with a $74,000 median entry-level salary.¹
Data analytics is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision making.
Over 8 courses, gain in-demand skills that prepare you for an entry-level job. You’ll learn from Google employees whose foundations in data analytics served as launchpads for their own careers. At under 10 hours per week, you can complete the certificate in less than 6 months.
You’ll prepare yourself for jobs that include junior or associate data analyst, database administrator, and more. Upon completion of the certificate, you can directly apply for jobs with Google and over 150 U.S. employers, including Walmart, Best Buy, Astreya.
75% of Google Career Certificate Graduates in the United States report an improvement in their career trajectory (e.g. new job or career, promotion or raise) within 6 months of certificate completion.²
- Earn a Certificate upon completion
- 100% online courses
- Start instantly and learn at your own schedule.
- Flexible Schedule
- Set and maintain flexible deadlines.
- Beginner Level
- No prior experience required.
- Approximately 6 months to complete
- Suggested pace of 10 hours/week
Courses in this Professional Certificate
COURSE 1
Foundations: Data, Data, Everywhere is the first course in the Google Data Analytics Certificate. These courses will equip you with the skills you need to apply to introductory-level data analyst jobs. 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 through hands-on curriculum developed by Google. The material shared covers plenty of key data analytics topics, and it’s designed to give you an overview of what’s to come in the Google Data Analytics Certificate. 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.
Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary. 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.
COURSE 2
Ask Questions to Make Data-Driven Decisions is the second course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. You’ll build on your understanding of the 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 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.
Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary. 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.
COURSE 3
Prepare Data for Exploration is the third course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. As you continue to build on your understanding of the topics from the first two courses, you’ll also be introduced to new topics that will help you gain practical data analytics skills. You’ll learn how to use tools like spreadsheets and SQL to extract and make use of the right data for your objectives and how to organize and protect your data. 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.
Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary. By the end of this course, you will: – 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.
COURSE 4
Process Data from Dirty to Clean is the fourth course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. In this course, you’ll 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. 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.
Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary. By the end of this course, you will be able to do the following: – 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.
Click here to return to our main Google Career Certificate page to view additional training options.
The Google Certificate Training Programs are available on an ongoing basis and at NO COST to learners.
For more information on the Google Certificate Programs, please contact workforce@wccc.me.edu.
¹US Burning Glass Labor Insight Report salary data (median with 0-5 years experience) and job opening data. Data for job roles relevant to featured programs (4/01/2021 – 3/31/22).
²Based on program graduate survey responses, United States 2021