What do my students and I learn in the Data Analyst track?
In the Data Analyst learning path students will learn how to derive insights through data analysis and visualization using the Google Cloud Platform, and explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets.
The courses also cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization.
With additional hands-on practice in Google Cloud Skills Boost, students will complete a series of skill badge quests that enables them to demonstrate proficiency in related skills.
What are the prerequisites for joining the Data Analyst track as a learner?
Familiarity with the following topics is helpful for success in the Data Analyst track:
- ANSI SQL
What is the recommended timeline for the Data Analyst track program?
It is highly recommended that the training be completed within 12 weeks. You can go faster than the recommended timeline.