Invest in your future with a career in cloud data analytics. Acquire the skills you need, especially AI skills, for an in-demand career. Get certified by Google Cloud. No prior experience required.
Suggested by: Coursera (What is Coursera?)
No prior knowledge required
No unnecessary risks
You’ll have the ability to become a data analytics expert with Google Cloud! As a cloud data customer, you’ll be able to uncover insights hidden within vast data sets, and turn raw numbers into meaningful stories that shape business strategies around the world. This certificate program is your starting point – a refined blend of professional guidance and practical challenges. You’ll build an impressive portfolio that shows employers that you know how to analyze, visualize, and communicate data.
In this certificate program, you will focus on the fundamentals of cloud data analytics. You will gradually build your knowledge of how to organize, store, access, and visualize data using various cloud tools and integrations, such as Cloud Storage, BigQuery, Looker, and Dataproc. The program will also cover how artificial intelligence is transforming data analytics, from automating repetitive tasks to uncovering hidden insights.
No experience or previous degree is needed to get started. Your journey begins here – get ready to leverage the tools and strategies that turn data into decisive action.
Applied Learning Project
This certificate program prepares cloud data analysts for entry-level work in the field. There are no prerequisites, but it is helpful for participants to be familiar with basic data analysis concepts, skills, and tools. Supplemental content on these concepts is included in the certificate program for those without prior knowledge.
The program has five courses where participants will complete hands-on labs that will allow them to practice skills and create work samples to present to potential employers. The first four courses will gradually build participants’ practical knowledge of how to organize, store, access, and visualize data using various cloud tools and integrations. The final course includes a capstone project that focuses on applying the knowledge and skills acquired to complete a full cloud data lifecycle project.
Duration: ~90 hours
5 courses
19 modules
183 videos
160 readings
15 practical labs
82 quizzes
1 Graduation Project
