Googler’s comprehensive guide: Master BigQuery SQL for data analysis, optimization, and automation.
Welcome to BigQuery SQL Mastery by a Googler – your complete roadmap to becoming confident and job-ready with Google BigQuery, one of the most powerful cloud-based data platforms used at Google and beyond.
Whether you’re just starting out or you’ve dabbled with SQL before, this course is designed to take you from zero to advanced, step by step, using real-world examples, clear explanations, and insider tips from a Googler.
Why take this course?
BigQuery is at the heart of data analytics at Google. It powers dashboards, machine learning pipelines, business insights, and mission-critical operations. Knowing how to write clean, efficient SQL in BigQuery is a superpower for anyone in data, product, or business roles.
Inside, you’ll learn:
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How to write and optimize SQL queries like a pro
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How to handle complex data like arrays and structs
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How to use advanced functions, joins, subqueries, and window functions
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How to automate, schedule, and structure your workflows
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And most importantly, how to think like a Googler when working with data
Who’s this for?
Aspiring analysts, data scientists, engineers, PMs, students, and anyone eager to harness the power of BigQuery — no prior experience needed!
This isn’t just theory. You’ll be learning what Googlers actually do in production — building queries that solve real business problems, at scale.
By the end of the course, you’ll have the confidence and skills to query large datasets, support decision-making, and ace SQL interviews with ease.
Let’s dive in and start querying like a Googler!
What Will You Learn?
- Write and optimize SQL queries in BigQuery like a professional data analyst or Googler.
- 140+ advanced Quiz questions
- Work with real-world data structures such as arrays, structs, nested, and partitioned tables.
- Apply advanced SQL techniques including window functions, aggregations, pivoting, unpivoting, and conditional logic.
- Automate, schedule, and optimize BigQuery workflows for scalable data processing.
- Understand execution plans and performance tuning in BigQuery.
Requirements
- No prior SQL or BigQuery experience required
- A Google account to access and use Google BigQuery (free tier available with BigQuery sandbox).
- Basic familiarity with spreadsheets (Google Sheets or Excel) is helpful but not necessary.
- A willingness to learn by doing – the course includes hands-on practice with real examples.
- Stable internet connection to access the Udemy course videos and practice in Google BigQuery.
Audience
- Beginners who want to learn SQL using Google BigQuery from scratch
- Data analysts, business analysts, and aspiring data scientists looking to level up their SQL skills with hands-on, scalable tools used at Google.
- Students, recent graduates, and job seekers preparing for data roles that involve SQL and cloud platforms
- Anyone curious about how Googlers query and analyze large-scale datasets using BigQuery, Google’s powerful cloud data warehouse.
- Beginners with no prior SQL experience who are looking for a structured, practical, and easy-to-follow learning path.
Course Content
Introduction
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01:39
BigQuery Table Operations
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11:44
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Upload Data from Google Sheets to BigQuery
07:59 -
How to Delete a Table in BigQuery
01:20 -
How to Append or Insert Data into an Existing Table in BigQuery
04:51 -
How to Append or Insert Multiple Rows into an Existing Table in BigQuery
03:49 -
How to Update or Change Values in an Existing Table in BigQuery
05:08 -
How to Delete Data from a Table in BigQuery
03:57 -
How to Delete All Data and Drop a Table in BigQuery
02:37
Core SQL Querying & Filtering
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How to Select Specific Columns in BigQuery
09:32 -
How to Rename Columns in BigQuery Using AS _ SQL Alias Tutorial
04:40 -
How to Use WHERE Filter in BigQuery
04:06 -
Using WHERE Filter with AND OR Operators in BigQuery
02:57 -
Master SQL LIKE and NOT LIKE Operators in BigQuery
04:09 -
Master SQL IN and NOT IN Operators in BigQuery
03:37 -
Master the SQL BETWEEN Operator in BigQuery
00:00 -
Eliminate Duplicates with SQL DISTINCT in BigQuery
04:03 -
Count Unique Values in SQL Columns with BigQuery
02:08
Aggregation, Grouping and Ordering
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How to Aggregate Columns in BigQuery
03:47 -
Using GROUP BY in BigQuery
06:25 -
Master SQL HAVING Clause in BigQuery
04:19 -
Sort Data Like a Pro – Master the ORDER BY Clause in SQL with BigQuery
03:07 -
Master the LIMIT Clause in SQL with BigQuery
01:56 -
Master the OFFSET Keyword in SQL – Skip Rows Efficiently in BigQuery
02:56 -
Mastering Aggregate Functions in SQL BigQuery – SUM, AVG, COUNT More!
12:27
Advanced Query Structures
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Mastering the SQL WITH Clause in BigQuery
04:01 -
Using Multiple WITH Clauses in BigQuery
03:50 -
Mastering Subqueries in BigQuery
03:09 -
Understand SQL Execution Order – How Queries Are Processed in BigQuery
06:31
Data Types, Schema and NULL Handling
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Understanding Table Schema in BigQuery
04:54 -
How to Change Data Schema or Data Types in BigQuery – SQL Schema Modification
10:59 -
Null vs Blank Values in SQL – Understanding the Difference
02:35 -
How to Exclude NULL or Blank Values in SQL Queries
03:25 -
Replace NULL Values Using IFNULL and COALESCE in BigQuery SQL
05:38 -
Aggregation Functions on NULL Values in BigQuery SQL
03:59 -
Handling NULL Values in SUM Function in BigQuery SQL
03:15 -
How to CAST or Change Data Type in SQL
08:02 -
CAST vs SAFE_CAST in SQL BigQuery – Key Differences When to Use Each
02:56
Conditional Logic & Fundamental Functions
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Mastering CASE WHEN Statements in SQL on BigQuery
05:36 -
Converting Text to Lowercase Uppercase in BigQuery – SQL String Functions
02:57 -
Master String Functions in BigQuery SQL
17:27 -
Mastering Integer and Float Functions in BigQuery SQL
19:42 -
Working with Booleans in BigQuery SQL
04:31 -
Extract Date, Month, and Year from a Column in BigQuery – SQL Date Functions
04:03 -
Master Date Functions in SQL – Essential Techniques for Data Manipulation
07:31 -
Current Date and Time Functions in BigQuery SQL – Mastering Time-Based Queries
04:13 -
Add or Subtract Date and Time in BigQuery SQL – Essential Date Manipulation
09:01 -
Round Off and Truncate DateTime Values in BigQuery SQL – Master DateTime
05:19 -
Add or Subtract Days in BigQuery SQL – Date Arithmetic Simplified
03:09 -
Master Time Functions in BigQuery SQL – Work with Time Data Like a Pro
11:23 -
Mastering Timestamp Functions in BigQuery SQL – Complete Guide
20:12
SQL, Joins and Set Operators
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Mastering Left Join in SQL – Complete Guide to Combining Data
15:20 -
Mastering INNER JOINs in BigQuery SQL
06:09 -
Mastering RIGHT JOIN in BigQuery SQL
04:24 -
Mastering FULL JOIN in BigQuery SQL
05:23 -
Mastering CROSS JOIN in BigQuery SQL
03:54 -
Mastering Self JOIN in BigQuery SQL
06:39 -
Using UNION ALL in SQL BigQuery – Combining Data from Multiple Tables
11:50 -
EXCEPT Keyword in SQL BigQuery – How to Exclude Data from Results
02:56
Window Functions for Analytical SQL
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ROW_NUMBER() Window Function in SQL BigQuery – Ranking and Ordering Data
05:27 -
RANK() Window Function in SQL BigQuery – Ranking Data with Precision
05:20 -
DENSE_RANK() Window Function in SQL BigQuery – Ranking Without Gaps
03:07 -
LEAD() LAG() Window Functions in SQL BigQuery – Moving Data Forward and Backward
04:07 -
SUM() CUMSUM() in Window Functions – Calculating Running Totals
03:34 -
COUNT() in Window Functions – Counting Rows Within Specific Windows
02:04 -
CUME_DIST() in SQL – Understanding Cumulative Distribution in BigQuery
04:13 -
Calculating Standard Deviation in SQL – A Step-by-Step Guide for BigQuery
02:52 -
FIRST_VALUE() LAST_VALUE() Window Functions in SQL BigQuery
05:03 -
Understanding PERCENT_RANK() in SQL – How to Calculate Percent Rank in BigQuery
04:08 -
AVERAGE() in Window Functions – Calculating Moving Averages in SQL BigQuery
03:46 -
Calculating Variance in SQL – A Comprehensive Guide for BigQuery
01:59 -
Understanding Correlation in SQL – A Step-by-Step Guide with BigQuery
06:04
Working with Complex and Nested Data
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Mastering Array Aggregations in SQL – Techniques and Best Practices
03:21 -
Mastering String Aggregations in SQL – Concatenate, Group, and Analyze Text
03:21 -
Working with Arrays in SQL – A Comprehensive Guide
05:22 -
Mastering Array Functions in SQL – Essential Techniques and Use Cases
12:23 -
Using Array Subqueries in SQL – Advanced Techniques and Best Practices
01:52 -
Preferred Method for UNNESTing Arrays in SQL – Best Practices
03:36 -
Unnest Arrays in SQL the Unpreferred Way – Scalar Approach Explained
02:51 -
Unnesting Arrays in SQL – Transform Array Data into Rows
04:02 -
Understanding Struct Data Types in SQL – Usage and Best Practices
03:23 -
Working with Nested Data Types – Arrays of Structs in SQL
03:24 -
Using Structs within Arrays in SQL – A Deep Dive
03:55 -
Using Structs in Query Results in SQL – Simplifying Complex Data
01:52 -
Modifying Data Inside Structs in SQL – Tips and Techniques
01:11 -
Working with Multiple Nested Structs in SQL – Advanced Techniques
01:25 -
Using Aggregate Functions with Structs in SQL – Advanced Data Analysis
02:50
Performance Optimization and Workflow Automation
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Understanding Query Execution Details in SQL – Optimize Performance
09:50 -
How to Schedule and Automate Table Workflows in SQL
12:40 -
Mastering Pivot Tables in SQL – Transform Your Data with Ease
05:59 -
Unpivoting in SQL – Transform Data from Columns to Rows
03:01 -
Understanding Partitioned Tables in SQL – Optimize Query Performance
07:07 -
Clustering Tables in SQL- Boost Query Performance and Storage Efficiency
10:00
A course by
Rajiv Pujala
Data Scientist
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