Data Analyst Track

 

What do I learn in the Data Analyst track?

In the From Data to Insights with Google Cloud Platform Specialization 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 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:

  • Statistics
  • ANSI SQL

 

What is the recommended timeline for the Data Analyst track program?

Recommended Milestones

  • Week 1: Accept the invitation and become familiar with the platform.
  • 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 11 - Week 12: Complete practice with additional hands-on labs

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 Coursera after the Data Analyst track timeline ends?

Your access to Coursera expires in 4 months. After your access expires, you cannot complete graded assignments and get your course completion certificate. Make sure to download PDFs from the Resources section for each course as you go through the training.

 

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