About this Course
This first course in this specialization is Exploring and Preparing your Data with BigQuery. Here we will see what the common challenges faced by data analysts are and how to solve them with the big data tools on Google Cloud Platform. You’ll pick up some SQL along the way and become very familiar with using BigQuery and Cloud Dataprep to analyze and transform your datasets. This course should take about one week to complete, 5-7 total hours of work. By the end of this course, you’ll be able to query and draw insight from millions of records in our BigQuery public datasets. You’ll learn how to assess the quality of your datasets and develop an automated data cleansing pipeline that will output to BigQuery. Lastly, you’ll get to practice writing and troubleshooting SQL on a real Google Analytics e-commerce dataset to drive marketing insights.
Instructor: Evan Jones
What You’ll Learn
- How to query and draw insight from millions of records in Google’s BigQuery public datasets
- How to assess the quality of your datasets and develop an automated data cleansing pipeline that will output to BigQuery
- How to write and troubleshoot SQL on a real Google Analytics e-commerce dataset to drive marketing insights
Skills You’ll Gain
- BigQuery
- GoogleCloud Platform
- Cloud Computing
- SQL
Syllabus
Welcome to From Data to Insights with Google Cloud Platform: Exploring and Preparing your Data
Module 1: Introduction to Data on Google Cloud Platform
Module 2: Big Data Tools Overview
Module 3: Exploring your Data with SQL
Module 4: Google BigQuery Pricing
Module 5: Cleaning and Transforming your Data
Approximate Completion Time: 10 hours to complete (Suggested: 1 week of study; 5-7 hours per week). Enroll now for free on Coursera.
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