What do I learn in the Data Analyst track?
In the Data Analyst learning path you will derive insights through data analysis and visualization using the Google Cloud 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 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:
- Statistics
- 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.
Will I continue to have access to Google Cloud Skills Boost after the Data Analyst track timeline ends?
Your no-cost access to the learning path in Google Cloud Skills Boost expires in 6 months. After your no-cost access expires, you will retain your learning history and access to the Google Cloud Skills Boost catalog. Your group admin will not longer have access to your learning activity.