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

Certifications

This course is part of the following Certifications:

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)

Prices & Delivery methods

Online Training

Duration
3 days

Price (excl. tax)
  • 1,950.— €
Dates and Booking
Enquire a date
Classroom Training

Duration
3 days

Price (excl. tax)
  • Austria: 1,950.— €
  • Germany: 1,950.— €
  • Switzerland: CHF 2,490.—
incl. catering
Dates and Booking
Enquire a date
 

Schedule

Guaranteed date:   iTLS will carry out all guaranteed training regardless of the number of attendees, exempt from force majeure or other unexpected events, like e.g. accidents or illness of the trainer, which prevent the course from being conducted.
Instructor-led Online Training:   Course conducted online in a virtual classroom.

English

Time zone: Central European Summer Time (CEST)   ±1 hour

Online Training Time zone: British Summer Time (BST)
Online Training Time zone: British Summer Time (BST)
Online Training Time zone: Greenwich Mean Time (GMT)

6 hours difference

Online Training Time zone: Eastern Daylight Time (EDT)
Online Training Time zone: Eastern Daylight Time (EDT)

7 hours difference

Online Training Time zone: Central Daylight Time (CDT) Guaranteed date!
Online Training Time zone: Central Daylight Time (CDT)

9 hours difference

Online Training Time zone: Pacific Daylight Time (PDT)
Online Training Time zone: Pacific Daylight Time (PDT)