T-BQDA-IOfficial Google Curriculum
BigQuery for Data Analysts
2 daysILTIntermediateLoading...
Overview
This course is designed for data analysts who want to learn about using BigQuery for their data analysis needs. Through a combination of videos, labs, and demos, we cover various topics that discuss how to ingest, transform, and query your data in BigQuery to derive insights that can help in business decision-making.
What You'll Learn
- Learn the purpose and value of BigQuery, Google Cloud's enterprise data warehouse, and discuss its data analytics features
- Analyze large datasets in BigQuery with SQL
- Clean and transform your data in BigQuery with SQL
- Ingest new BigQuery datasets, and discuss options for external data sources
- Review visualization principles, and use Connected Sheets and Looker Studio to visualize data insights from BigQuery
- Use Dataform to develop scalable data transformation pipelines in BigQuery
- Use new integrations and assistive capabilities introduced with BigQuery Studio
Who Should Attend
Data analysts who want to learn how to use BigQuery for their data analysis needs.
Prerequisites
Introduction to Data Analytics on Google Cloud
Products Covered
BigQuery
Course Modules
1
Course introduction
Topics
- This module introduces the course agenda
Learning Outcomes
- Introduce the topics covered in the course
2
BigQuery for data analysts
Topics
- Overview
- Data analytics on Google Cloud
- From data to insights with BigQuery
- Real-world use cases of companies transformed through analytics on Google Cloud
Learning Outcomes
- Identify analytics challenges faced by data analysts, and compare big data on-premises versus in the cloud
- Learn the purpose and value of BigQuery, Google Cloud's enterprise data warehouse, and discuss its data analytics features
3
Exploring and preparing your data with BigQuery
Topics
- Overview
- Common data exploration techniques
- Analysis of large datasets with BigQuery
- Query basics
- Working with functions
- Enriching your queries with UNIONs and JOINs
Learning Outcomes
- List common data exploration techniques
- Review SQL query basics
- Enrich queries with functions, unions, and joins
Activities
Lab: Exploring an Ecommerce Dataset using SQL in Google BigQueryLab: Troubleshooting Common SQL Errors with BigQueryLab: Troubleshooting and Solving Data Join Pitfalls
4
Cleaning and transforming your data
Topics
- Overview
- Five principles of dataset integrity
- Clean and transform data using SQL
- Clean and transform data: Other options
Learning Outcomes
- Identify what makes a good dataset
- Clean and transform data using SQL
- Clean and transform data with other options
5
Ingesting and storing new BigQuery datasets
Topics
- Overview
- Permanent versus temporary data tables
- Ingesting new datasets
- External data sources
Learning Outcomes
- Review differences between permanent and temporary data tables
- Ingest and store new BigQuery datasets
- Discuss options for external data sources
Activities
Lab: Creating New Permanent TablesLab: Ingesting and Querying New Datasets
6
Visualizing your insights from BigQuery
Topics
- Overview
- Data visualization principles
- Connected Sheets
- Common data visualization pitfalls
- Looker Studio
- Analysis in a notebook
Learning Outcomes
- Review data visualization principles and common visualization pitfalls
- Use Connected Sheets and Looker Studio to visualize data insights from BigQuery
- Discuss running analyses in a Jupyter Notebook
Activities
Lab: Connected Sheets Qwik StartLab: Explore and Create Reports with Looker Studio
7
Developing scalable data transformation pipelines in BigQuery with Dataform
Topics
- Overview
- What is Dataform?
- Getting started with Dataform
Learning Outcomes
- Use Dataform to develop scalable data transformation pipelines in BigQuery
- Learn how to get started with Dataform by creating a repository and development workspace
- Create and execute a SQL workflow in Dataform
Activities
DemoLab: Create and Execute a SQL Workflow in Dataform
8
BigQuery Studio
Topics
- BigQuery Studio: What and why?
- Unified analytics
- Asset management
- Embedded assistance
Learning Outcomes
- Introduce BigQuery Studio
- Use Duet AI in BigQuery to explain and generate SQL queries
- Learn about new usability features and integrations with Dataform and Dataplex in the new BigQuery Studio interface
Activities
DemoLab: Analyze Data with Duet AI AssistanceLab: Generate Personalized Email Content with BigQuery Continuous Queries and Gemini
9
Summary
Topics
- Summary
Learning Outcomes
- Summarize the key topics covered in the course
Get This Training
No public classes currently scheduled. Express interest below or request private training.
Course Details
- Course Code
- T-BQDA-I
- Duration
- 2 days
- Format
- ILT
- Level
- Intermediate
- Modules
- 9
- Activities
- 13
- Price
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