SC-T-IDAGC-BOfficial Google Curriculum
Introduction to Data Analytics on Google Cloud (Scaled)
1 dayILTIntroductoryLoading...
Overview
Introduction to data analytics on Google Cloud covering collection, storage, exploration, visualization, and sharing. Demonstrates how to go from raw data to impactful visualizations and dashboards using BigQuery, Looker, and Looker Studio.
What You'll Learn
- Describe the data analytics workflow on Google Cloud and summarize the different types of analytics.
- Identify Google Cloud data analytics products and describe how each is used to work with data.
- Describe data sources, data structures, and data storage options in Google Cloud.
- Use BigQuery, Looker, and Looker Studio to answer data questions and influence business decisions.
Who Should Attend
Data analysts
Prerequisites
Basic familiarity with SQL. Basic understanding of data concepts such as data types (relational, non-relational) and storage (data lakes, data warehouses).
Products Covered
BigQueryLookerLooker Studio
Course Modules
1
Understand the Data Analytics Lifecycle on Google Cloud
Topics
- Data analytics workflow
- Data sources
- Storage methods
- Google Cloud data analytics products
- Data types
Learning Outcomes
- Detail and describe the data analytics workflow on Google Cloud.
- Compare and contrast data sources and storage methods available in Google Cloud.
- Compare how different data types can be used for data analytics.
Activities
Quiz
2
Explore Data and Extract Insights by Using BigQuery
Topics
- BigQuery services, capabilities, and organization
- Data storage
- Basic SQL
- Answering data-driven questions
Learning Outcomes
- Describe BigQuery and the BigQuery solution architecture.
- Derive insights from data by using BigQuery.
- Use the BigQuery user interface to run basic queries.
Activities
Lab 1: BigQuery Qwik Start: ConsoleLab 2: Introduction to SQL for BigQuery and Cloud SQLLab 3: BigLake: Qwik StartLab 4: Analyze data with Gemini AssistanceQuiz
3
Make Data-Driven Decisions by Using Looker
Topics
- Looker data exploration terms and concepts
- Looks and dashboards
- Visualizations
- Report sharing
- Looker Studio
Learning Outcomes
- Manipulate a Looker Explore to answer data-driven questions.
- Create a situation-appropriate visualization to highlight the answer for a data-driven question.
- Choose between Looker and Looker Studio for data visualization and sharing.
- Share visualizations with others.
Activities
Lab 1: Looker Data Explorer—Qwik StartLab 2: Looker Data Studio—Qwik StartQuiz
4
Course Summary
Topics
- Topic review
- Slides
Learning Outcomes
- Find resources for additional learning and support.
What's Not Covered
- In-depth SQL
- BigQuery
- ML instruction
- Google Sheets
Get This Training
No public classes currently scheduled. Express interest below or request private training.
Course Details
- Course Code
- SC-T-IDAGC-B
- Duration
- 1 day
- Format
- ILT
- Level
- Introductory
- Modules
- 4
- Activities
- 9
- Price
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