Exploring ​and ​Preparing ​your ​Data with BigQuery

Go to class
Write Review

Free Online Course: Exploring ​and ​Preparing ​your ​Data with BigQuery provided by Coursera is a comprehensive online course, which lasts for 7 weeks long, 8-9 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from Coursera. Exploring ​and ​Preparing ​your ​Data with BigQuery is taught by Google Cloud Training.

Overview
  • In this course, we see what the common challenges faced by data analysts are and how to solve them with the big data tools on Google Cloud. You’ll pick up some SQL along the way and become very familiar with using BigQuery and Dataprep to analyze and transform your datasets.

    This is the first course of the From Data to Insights with Google Cloud series. After completing this course, enroll in the Creating New BigQuery Datasets and Visualizing Insights course.

Syllabus
    • Welcome to From ​Data ​to ​Insights ​with ​Google ​Cloud: ​Exploring ​and ​Preparing ​your ​Data
      • Learn the courses, content, and technologies that are part of this data analyst course series.
    • Module 1: Introduction ​to ​Data ​on Google ​Cloud
      • Understand the core principles behind Google Cloud and how to leverage them for big data analysis
    • Module 2: ​Big ​Data ​Tools ​Overview
      • Learn what are the key big data tools on Google Cloud that you will use to analyze, prepare, and visualize data
    • Module 3: ​Exploring ​your ​Data ​with SQL
      • Learn how to query your data with the basics of SQL (Structured Query Language) and practice writing queries in BigQuery
    • Module 4: ​BigQuery ​Pricing
      • Understand how pricing works in BigQuery and how you can best optimize your queries
    • Module 5: ​Cleaning ​and ​Transforming your ​Data
      • Understand the importance of creating high quality datasets and learn the tools that will help you transform your data
    • Module 6: Course Summary
      • Summary of the course key learning points