From Data to Insights with Google Cloud Platform Course Overview

Enroll for 3-day From Data to Insights with Google Cloud Platform course from Koenig Solutions. In this course you will learn how to derive insights through data analysis and visualization using the Google Cloud Platform.

Through a blend of hands-on labs and interactive lectures, you will learn to 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.

This course is part of the following Certifications:

     Google Cloud Certified Professional Data Engineer (PDE)

Target Audience:

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

Learning Objectives:

  • 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

 

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

The 1-on-1 Advantage

Methodology

Flexible Dates

  • • Choose Start Date
  • • Reschedule After Booking
  • • Weekend / Evening Option

4-Hour Sessions

You will learn:

Module 1: Introduction to Data on the Google Cloud Platform
  • Highlight Analytics Challenges Faced by Data Analysts.
  • Compare Big Data On-Premise vs on the Cloud
  • Learn from Real-World Use Cases of Companies Transformed through Analytics on the Cloud.
  • Navigate Google Cloud Platform Project Basics
  • Lab: Getting started with Google Cloud Platform.
  • Walkthrough Data Analyst Tasks, Challenges, and Introduce Google Cloud Platform Data Tools
  • Demo: Analyze 10 Billion Records with Google BigQuery
  • Explore 9 Fundamental Google BigQuery Features.
  • Compare GCP Tools for Analysts, Data Scientists, and Data Engineers.
  • Lab: Exploring Datasets with Google BigQuery
  • Compare Common Data Exploration Techniques
  • Learn How to Code High Quality Standard SQL.
  • Explore Google BigQuery Public Datasets.
  • Visualization Preview: Google Data Studio.
  • Lab: Troubleshoot Common SQL Errors.
  • Walkthrough of a BigQuery Job.
  • Calculate BigQuery Pricing: Storage, Querying, and Streaming Costs.
  • Optimize Queries for Cost.
  • Lab: Calculate Google BigQuery Pricing.
  • Examine the 5 Principles of Dataset Integrity.
  • Characterize Dataset Shape and Skew.
  • Clean and Transform Data using SQL.
  • Clean and Transform Data using a new UI: Introducing Cloud Dataprep.
  • Lab: Explore and Shape Data with Cloud Dataprep
  • Compare Permanent vs Temporary Tables.
  • Save and Export Query Results
  • Performance Preview: Query Cache
  • Lab: Creating new Permanent Tables.
  • Query from External Data Sources.
  • Avoid Data Ingesting Pitfalls
  • Ingest New Data into Permanent Tables.
  • Discuss Streaming Inserts.
  • Lab: Ingesting and Querying New Datasets
  • Overview of Data Visualization Principles.
  • Exploratory vs Explanatory Analysis Approaches.
  • Demo: Google Data Studio UI.
  • Connect Google Data Studio to Google BigQuery.
  • Lab: Exploring a Dataset in Google Data Studio.
  • Merge Historical Data Tables with UNION.
  • Introduce Table Wildcards for Easy Merges
  • Review Data Schemas: Linking Data Across Multiple Tables.
  • Walkthrough JOIN Examples and Pitfalls.
  • Lab: Join and Union Data from Multiple Tables.
  • Review SQL Case Statements
  • Introduce Analytical Window Functions.
  • Safeguard Data with One-Way Field Encryption.
  • Discuss Effective Sub-query and CTE design.
  • Compare SQL and Javascript UDFs.
  • Lab: Deriving Insights with Advanced SQL Functions.
  • Compare Google BigQuery vs Traditional RDBMS Data Architecture
  • Normalization vs Denormalization: Performance Tradeoffs.
  • Schema Review: The Good, The Bad, and The Ugly
  • Arrays and Nested Data in Google BigQuery.
  • Lab: Querying Nested and Repeated Data
  • Avoid Performance Pitfalls with Cache considerations
  • Share Dashboards and Discuss Data Access considerations.
  • Avoid Google BigQuery Performance Pitfalls.
  • Prevent Hotspots in your Data
  • Diagnose Performance Issues with the Query Explanation map.
  • Lab: Optimizing and Troubleshooting Query Performance
  • Compare IAM and BigQuery Dataset Roles.
  • Avoid Access Pitfalls
  • Review Members, Roles, Organizations, Account Administration, and Service Accounts.
  • Cloud Datalab.
  • Compute Engine and Cloud Storage.
  • Lab: Rent-a-VM to process earthquakes data.
  • Data Analysis with BigQuery
  • Introduction to Machine Learning for analysts
  • Practice with Pretrained ML APIs for image and text understanding.
  • Lab: Pretrained ML APIs.
  • Building Machine Learning datasets and analyzing features
  • Creating classification and forecasting models with BQML.
  • Lab: Predict Visitor Purchases with a Classification Model in BQML.
  • Lab: Predict Taxi Fare with a BigQuery ML Forecasting Model.
Live Online Training (Duration : 24 Hours) Fee On Request
We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.

4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Group Training
Date On Request
Course Prerequisites
  • Basic proficiency with ANSI SQL

 

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FAQ's


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Dubai, Goa, Delhi, Bangalore.
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The Fee includes:
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Schedule for Group Training is decided by Koenig. Schedule for 1-on-1 is decided by you.
In 1-on-1 you can select your own schedule, other students can be merged but you select the schedule. Choose 1-on-1 if published schedule do not meet your requirement. If you also want a private session, opt for 1-on-1 Public.
Yes.
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Travel and Visa

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