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From Data to Insights with Google Cloud Platform

From Data to Insights with Google Cloud Platform

Category: Data & Machine Learning

Description

This From Data to Insights with Google Cloud Platform course teaches students how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The courses also cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization.
 

Audience

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

Duration

3 days

Requirements

  • Basic proficiency with ANSI SQL (reference)

Curriculum

Introduction to Data on the Google Cloud Platformul>
  • Highlight Analytics Challenges Faced by Data Analysts/li>
  • Compare Big Data On-Premises vs on the Cloud/li>
  • Learn from Real-World Use Cases of Companies Transformed through Analytics on the Cloud/li>
  • Navigate Google Cloud Platform Project Basics/li>
  • Lab: Getting started with Google Cloud Platform/li>Big Data Tools Overviewul>
  • Walkthrough Data Analyst Tasks, Challenges, and Introduce Google Cloud Platform Data Tools/li>
  • Demo: Analyze 10 Billion Records with Google BigQuery/li>
  • Explore 9 Fundamental Google BigQuery Features/li>
  • Compare GCP Tools for Analysts, Data Scientists, and Data Engineers/li>
  • Lab: Exploring Datasets with Google BigQuery/li>Exploring your Data with SQLul>
  • Compare Common Data Exploration Techniques/li>
  • Learn How to Code High Quality Standard SQL/li>
  • Explore Google BigQuery Public Datasets/li>
  • Visualization Preview: Google Data Studio/li>
  • Lab: Troubleshoot Common SQL Errors/li>Google BigQuery Pricingul>
  • Walkthrough of a BigQuery Job/li>
  • Calculate BigQuery Pricing: Storage, Querying, and Streaming Costs/li>
  • Optimize Queries for Cost/li>
  • Lab: Calculate Google BigQuery Pricing/li>Cleaning and Transforming your Dataul>
  • Examine the 5 Principles of Dataset Integrity/li>
  • Characterize Dataset Shape and Skew/li>
  • Clean and Transform Data using SQL/li>
  • Clean and Transform Data using a new UI: Introducing Cloud Dataprep/li>
  • Lab: Explore and Shape Data with Cloud Dataprep/li>Storing and Exporting Dataul>
  • Compare Permanent vs Temporary Tables/li>
  • Save and Export Query Results/li>
  • Performance Preview: Query Cache/li>
  • Lab: Creating new Permanent Tables/li>Ingesting New Datasets into Google BigQueryul>
  • Query from External Data Sources/li>
  • Avoid Data Ingesting Pitfalls/li>
  • Ingest New Data into Permanent Tables/li>
  • Discuss Streaming Inserts/li>
  • Lab: Ingesting and Querying New Datasets/li>Data Visualizationul>
  • Overview of Data Visualization Principles/li>
  • Exploratory vs Explanatory Analysis Approaches/li>
  • Demo: Google Data Studio UI/li>
  • Connect Google Data Studio to Google BigQuery/li>
  • Lab: Exploring a Dataset in Google Data Studio/li>Joining and Merging Datasetsul>
  • Merge Historical Data Tables with UNION/li>
  • Introduce Table Wildcards for Easy Merges/li>
  • Review Data Schemas: Linking Data Across Multiple Tables/li>
  • Walkthrough JOIN Examples and Pitfalls/li>
  • Lab: Join and Union Data from Multiple Tables/li>Advanced Functions and Clausesul>
  • Review SQL Case Statements/li>
  • Introduce Analytical Window Functions/li>
  • Safeguard Data with One-Way Field Encryption/li>
  • Discuss Effective Sub-query and CTE design/li>
  • Compare SQL and Javascript UDFs/li>
  • Lab: Deriving Insights with Advanced SQL Functions/li>Schema Design and Nested Data Structuresul>
  • Compare Google BigQuery vs Traditional RDBMS Data Architecture/li>
  • Normalization vs Denormalization: Performance Tradeoffs/li>
  • Schema Review: The Good, The Bad, and The Ugly/li>
  • Arrays and Nested Data in Google BigQuery/li>
  • Lab: Querying Nested and Repeated Data/li>More Visualization with Google Data Studioul>
  • Create Case Statements and Calculated Fields/li>
  • Avoid Performance Pitfalls with Cache considerations/li>
  • Share Dashboards and Discuss Data Access considerations/li>Optimizing for Performanceul>
  • Avoid Google BigQuery Performance Pitfalls/li>
  • Prevent Hotspots in your Data/li>
  • Diagnose Performance Issues with the Query Explanation map/li>
  • Lab: Optimizing and Troubleshooting Query Performance/li>Advanced Insightsul>
  • Introducing Cloud Datalab/li>
  • Cloud Datalab Notebooks and Cells/li>
  • Benefits of Cloud Datalab/li>Data Accessul>
  • Compare IAM and BigQuery Dataset Roles/li>
  • Avoid Access Pitfalls/li>
  • Review Members, Roles, Organizations, Account Administration, and Service Accounts/li>
  • Classes

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    Our Delivery

    on site delivery

    Online or On-site de

    We created a personalized delivery strategy by offering blended learning

    communities of practice

    Communities of practice

    Find a bunch of people who are on the same page with you.

    engaging

    Engaging

    Engaging platform with gamification for collaboration and friendly competition.

    interactive

    Interactive

    Interactive online trainings and live webinars available.

    efficient

    Efficient

    A special learning environment can boost learning efficiency.

    accesible

    Accessible

    Available anywhere and anytime, on your phone, computer or tablet.

    Q&A

    • Can you customize courses to suit our particular requirements? Yes, of course. We offer training consultancy and we establish the most appropriate solution according to the specific needs and business objectives of your company. Contact us and we’ll find the best training solution for you.
    • Can individuals use your services or they are organized for companies?Yes, we organise open courses which can be accessed by individuals. Whether you are looking for an IT or a Business training, you can find it at Brain Concert. Moreover, you’ll meet people from the same area of work as you and we can create communities of practice, where you can share professional tips and tricks and best practices.
    • What types of trainings are available for my company? We offer a variety of courses: in the IT area, there are Agile & Lean Courses, Software Development Courses, QA Courses, Software Administration Courses and Security Courses. We also offer Business Courses, focused on the development of soft skills. Define your objectives and choose the most appropriate training for you or your company.
    • What should I know before choosing a training? You should know that we offer courses for everyone, but you have to choose according to some criteria. First, define your objectives, then, the level of the participants (basic, advanced). There are courses with some requirements attached because the participants of a training session must form a compact group in terms of their previous knowledge so that they and the trainers are on the same page.
    • What is the minimum number of participants if we want in-house training? The minimum number of participants for an in-house depends on the course type. Please contact us to establish these details.
    • Can you organize virtual training sessions or only face to face trainings? Yes, you can choose an online or offline training session. We use Knolyx, an e-learning platform to make the process of online training delivery as efficient as a face to face training session.