BigQuery Queries Intro
Description
BigQuery lets you ask questions of large datasets using SQL. The lessons on this topic begin with BigQuery architecture and core concepts and then move to writing a first SQL query.
They go on to aggregate functions for data analysis, date and time functions, and string manipulation and data cleaning. The final lesson builds practical reports with real datasets. Exercises and tables appear in several lessons, so each new function comes with a worked example to follow. After reading, you will understand how BigQuery is organized, write queries that filter, group and summarize data, and prepare clean results for a report.
Who it is for: beginners who want to start analyzing data with SQL in BigQuery.
What’s included
6 PDF lessons · 57 pages · about 13,000 words
One ZIP download that is yours to keep — read on any device, no subscription or app needed.
Course programme
- Understanding BigQuery Architecture and Core Concepts
- Writing Your First SQL Queries in BigQuery
- Working with Aggregate Functions for Data Analysis
- Mastering Date and Time Functions
- String Manipulation and Data Cleaning Techniques
- Building Practical Reports with Real Datasets
BigQuery is a trademark of its owner. This course is independent and is not affiliated with, endorsed or sponsored by the trademark owner.
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Products
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Category:Analysis
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Product Type:Mini-course
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Level:Beginner
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Duration:30 min – 2 hours
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Format:6 PDF lessons (ZIP)
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Delivery:Download link by email and in Account → Orders
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Delivery time:Instant, right after payment
What you get
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6 PDF lessons One ZIP download · 721.1 KB
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Instant download Right after payment — no waiting
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Lifetime access Unlimited downloads from your account
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30 min – 2 hours of study Learn at your own pace
How it works
- Pay securely Visa or Mastercard with 3D Secure.
- Download instantly The download link arrives by email with your invoice and is always in Account → Orders.
- Learn on any device Open the PDF files on your phone, tablet or computer — no app or subscription needed.
14-day refund guarantee if you have used less than 25% of the content — see the Return and Refund Policy.
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