From Data to Insights with Google Cloud Platform (DIGCP)

 

Course Overview

Explore ways to derive insights from data at scale using BigQuery, Google Cloud’s serverless, highly scalable, and cost-effective cloud data warehouse. This course uses lectures, demos, and hands-on labs to teach you the fundamentals of BigQuery, including how to create a data transformation pipeline, build a BI dashboard, ingest new datasets, and design schemas at scale.

Who should attend

  • 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

Certifications

This course is part of the following Certifications:

Prerequisites

Basic proficiency with ANSI SQL (reference)

Course Objectives

  • Derive insights from data using the analysis and visualization tools on Google Cloud
  • Load, clean, and transform data at scale with 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 BigQuery ML

Prices & Delivery methods

Online Training
Modality: L

Duration 3 days

Price (excl. tax)
  • Eastern Europe: 1,950.— €
Classroom Training
Modality: C

Duration 3 days

Price (excl. tax)
  • Eastern Europe: 1,950.— €
  • Greece: 975.— €
 

Schedule

English

Time zone: Central European Summer Time (CEST)

Online Training Time zone: Central European Time (CET)

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)
Online Training Time zone: Central Daylight Time (CDT)
Online Training Time zone: Central Standard Time (CST)
Online Training Time zone: Central Standard Time (CST)

9 hours difference

Online Training Time zone: Pacific Daylight Time (PDT)
Online Training Time zone: Pacific Daylight Time (PDT)
Instructor-led Online Training:   This computer icon in the schedule indicates that this date/time will be conducted as Instructor-Led Online Training.