Become a data-driven powerhouse with Google Cloud! As a Cloud Data Analyst, you'll unlock insights hidden within vast datasets, transforming raw numbers into impactful stories that shape business strategies across the globe. This certificate program is your launchpad – a carefully curated mix of expert instruction and real-world challenges. You'll build a portfolio of impressive projects, showcasing to employers that you can analyze, visualize, and communicate data.
In this certificate program you’ll immerse yourself in the fundamentals of cloud data analytics. You’ll progressively build your working knowledge of how to structure, store, access, and visualize data using various Cloud tools and integration, such as Cloud Storage, BigQuery, Looker and Dataproc. The program will also touch on how AI is revolutionizing data analytics, from automating repetitive tasks to uncovering hidden insights.
No prior experience or degree is required to get started. This is where your journey begins – get ready to wield the tools and strategies that turn data into decisive action.
Applied Learning Project
This certificate program prepares aspiring cloud data analysts for entry-level roles in the field. There are no prerequisites, but it’s helpful for learners to be familiar with foundational data analytics concepts, skills, and tools. Supplemental content on these concepts is included within the certificate for learners who do not have this prior knowledge.
There are five courses in which learners will complete hands-on labs that allow them to practice skills and produce work examples to show potential employers. The first four courses progressively build learners’ working knowledge of how to structure, 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 gained to complete a full cloud data life cycle project.
Duration: ~90 hours
5 Courses
19 modules
183 videos
160 readings
15 hand-on labs
82 Quizzes
1 Capstone
