Overview
This 2-day course is designed for data analysts who want to learn about using BigQuery for their data analysis needs. Through a combination of labs and demos, this course covers various topics that discuss how to ingest, transform, and query your data in BigQuery to derive insights that can help in business decision-making.
Prerequisites
Participants should have:
- Experience or prior learning in Data Analytics within Google Cloud
Target Audience
This course is designed for Data analysts who want to learn how to use BigQuery for their data analysis needs. This could include those in-training or currently fulfilling data analyst roles with a working knowledge of Google Cloud but have little prior experience with BigQuery before.
Learning Objectives
By the end of this course, learners will be able to:
- Learn the purpose and value of BigQuery, Google Cloud’s enterprise data warehouse, and discuss its data analytics features.
- Analyse 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.
Course Outline
Module 0: Course Introduction
- This module introduces the course agenda
Module 1: BigQuery for Data Analysts
- Overview
- Data analytics on Google Cloud
- From data to insights with BigQuery
- Real-world use cases of companies transformed through analytics on Google Cloud
Module 2: Exploring and preparing your data with BigQuery
- Overview
- Common data exploration techniques
- Analysis of large datasets with BigQuery
- Query basics
- Working with functions
- Enriching your queries with UNIONs and JOINs
Module 3: Cleaning and transforming your data
- Overview
- Five principles of dataset integrity
- Clean and transform data using SQL
- Clean and transform data: Other options
Module 4: Ingesting and storing BigQuery datasets
- Overview
- Permanent versus temporary data tables
- Ingesting new datasets
- External data sources
Module 5: Visualising your insights from BigQuery
- Overview
- Data visualization principles
- Connected Sheets
- Common data visualization pitfalls
- Looker Studio
- Analysis in a notebook
Module 6: Developing scalable data transformation pipelines in BigQuery with
Dataform
- Overview
- What is Dataform?
- Getting started with Dataform
Module 7: BigQuery Studio
- BigQuery Studio: What and why?
- Unified analytics
- Asset management
- Embedded assistance
Module 8: Summary
- Summary
Exams and Assessments
There are no formal examinations within this course. There will be a module review and summary following the practical hands-on lab, quiz and slide-deck deliveries. This will further enforce learning and support additional resource finds, for continued learning and development.
Hands-on Learning
Within this course there are opportunities for learners to engage in hands-on labs to support module learning. In addition, each module will also have a quiz, to support knowledge capture.
Frequently asked questions
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Find more answers to frequently asked questions in our FAQs: Bookings & Cancellations page.
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QA online courses, also commonly known as distance learning courses or elearning courses, take the form of interactive software designed for individual learning, but you will also have access to full support from our subject-matter experts for the duration of your course.
Once you have purchased the Online course and have completed your registration, you will receive the necessary details to enable you to immediately access it through our e-learning platform and you can start to learn straight away, from any compatible device. Access to the online learning platform is valid for one year from the booking date.
All courses are built around case studies and presented in an engaging format, which includes storytelling elements, video, audio and humour. Every case study is supported by sample documents and a collection of Knowledge Nuggets that provide more in-depth detail on the wider processes.
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When will I receive my certificate?
Certificates of Achievement are issued at the end the course, either as a hard copy or via email. Read more here.