What do my students and I learn in the Data Analyst track?
From Data to Insights with Google Cloud Platform Specialization on Coursera:
Derive insights through data analysis and visualization using the Google Cloud Platform. 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.
Practice with following hands on lab on topics and services that appear in the Data Analyst track:
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?
Recommended Faculty Milestones
- Get Started: Invite Students
- Week 1: Conduct Study Jam: Getting Started with the Data Analyst Track
Recommended Student Milestones
- Week 2: Complete course #1, Exploring and Preparing your Data with BigQuery
Week 3 - Week 4: Complete course #2, Creating New BigQuery Datasets and Visualizing Insights
Week 5 - Week 6: Complete course #3, Achieving Advanced Insights with BigQuery
Week 7 - Week 8: Complete course #4, Apply Machine Learning to your Data with GCP
Week 9 - Week 10: Complete the following quests
Week 10 - Week 12: Complete practice with additional Qwiklabs
It is highly recommended that the training be completed within 12 weeks. You can go faster than the recommended timeline.