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From Data to Insights with Google Cloud Platform (DIGCP)

 

Course Overview

Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course!

This three-day instructor-led class teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The course features interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The course covers data loading, querying, schema modeling, optimizing performance, query pricing, data visualization, and machine learning.

Who should attend

This class is intended for the following:

  • Data Analysts, Business Analysts, Business Intelligence professionals
  • Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform

Prerequisites

To get the most out of this course, participants should have:

  • Basic proficiency with ANSI SQL

Course Objectives

This course teaches participants the following skills:

  • Derive insights from data using the analysis and visualization tools on Google Cloud Platform
  • Load, clean, and transform data at scale with Google Cloud Dataprep
  • Explore and Visualize data using Google Data Studio
  • Troubleshoot, optimize, and write high performance queries
  • Practice with pre-built ML APIs for image and text understanding
  • Train classification and forecasting ML models using SQL with BQML

Course Content

  • Module 1: Introduction to Data on the 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
  • Module 6: Storing and Exporting Data
  • Module 7: Ingesting New Datasets into Google BigQuery
  • Module 8: Data Visualization
  • Module 9: Joining and Merging Datasets
  • Module 10: Advanced Functions and Clauses
  • Module 11: Schema Design and Nested Data Structures
  • Module 12: More Visualization with Google Data Studio
  • Module 13: Optimizing for Performance
  • Module 14: Data Access
  • Module 15: Notebooks in the Cloud
  • Module 16: How Google does Machine Learning
  • Module 17: Applying Machine Learning to your Datasets (BQML)
Online Training
Modality: L

Duration 3 days

Classroom Training
Modality: C

Duration 3 days

Price (excl. tax)
  • Eastern Europe: 975.- €
 
Click on town name to book Schedule
Slovenia
29/09/2020 ― 01/10/2020 Online Training Time zone: Europe/Prague Course language: English Enroll
Poland
29/09/2020 ― 01/10/2020 Online Training Time zone: Europe/Prague Course language: English Enroll
Turkey
29/09/2020 ― 01/10/2020 Online Training Time zone: Europe/Prague Course language: English Enroll
Czech Republic
29/09/2020 ― 01/10/2020 Online Training Time zone: Europe/Prague Course language: English Enroll
Hungary
29/09/2020 ― 01/10/2020 Online Training Time zone: Europe/Prague Course language: English Enroll
Romania
29/09/2020 ― 01/10/2020 Online Training Time zone: Europe/Prague Course language: English Enroll
Slovakia
29/09/2020 ― 01/10/2020 Online Training Time zone: Europe/Prague Course language: English Enroll

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This computer icon in the schedule indicates that this date/time will be conducted as Instructor-Led Online Training.
This is a FLEX course, which is delivered both virtually and in the classroom. All FLEX courses are also Instructor-led Online Trainings (ILO).