Google BigQuery-Hands-On SQL Training for Data Analysis
- Development
- Jan 30, 2025

Google BigQuery:Hands-On SQL Training for Data Analysis, available at $29.99, has an average rating of 3.55, with 28 lectures, based on 16 reviews, and has 82 subscribers.
You will learn about Operators in SQL Aggregate Functions Max,Min,Average and Sum,Group By and more Inner Join,Right,Left Outer Join and Cross Join Rank,Dense Rank,Row Number,CSUM and MAVG etc Case Statement and If Function This course is ideal for individuals who are Students/Professionals curious about learning Google BigQuery or Professionals who want to learn Google BigQuery for further enhancement of their knowledge and skill sets. It is particularly useful for Students/Professionals curious about learning Google BigQuery or Professionals who want to learn Google BigQuery for further enhancement of their knowledge and skill sets.
Enroll now: Google BigQuery:Hands-On SQL Training for Data Analysis
Summary
Title: Google BigQuery:Hands-On SQL Training for Data Analysis
Price: $29.99
Average Rating: 3.55
Number of Lectures: 28
Number of Published Lectures: 28
Number of Curriculum Items: 30
Number of Published Curriculum Objects: 30
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
What is Google BigQuery?
Google BigQuery is an enterprise cloud data warehouse that solves this problem by enabling super-fast SQL queries using the processing power of Google’s infrastructure.It is a server less Software as a Service (SaaS) that has built-in machine learning capabilities.
What are we learning in the Course?
Operator in SQL
Aggregate Functions
Joins in SQL
SubQuery in SQL
Analytical Functions:Row Number,Rank,Dense_Rank,Cumulative Sum and Cumulative Average
Case Statement and IF Function
Course Curriculum
Chapter 1: Google BigQuery Getting Started
Lecture 1: Introduction
Lecture 2: Setting Up BiqQuery Standbox Account
Lecture 3: Signing Up for 12 Month Free Account
Chapter 2: Google BigQuery: String & Date Time Functions
Lecture 1: Upper,Lower,Trim and Substring Function in SQL
Lecture 2: Concat,Replace and Split Function in SQL
Chapter 3: Google BigQuery: Operators in SQL
Lecture 1: Operators in SQL
Lecture 2: AND Operator
Lecture 3: OR Operator
Lecture 4: IN Operator
Lecture 5: Like Operator
Lecture 6: Between Operator
Chapter 4: Google BigQuery:Aggregate Functions
Lecture 1: Aggregate Functions
Lecture 2: Group by Statement Explanation
Lecture 3: Example of Aggregate Functions
Lecture 4: Aggregate by day, week and month in BigQuery
Chapter 5: Google BigQuery: Joins
Lecture 1: Inner Join
Lecture 2: Outer Join
Lecture 3: Example of Inner Join,Outer Join
Lecture 4: Self Join
Lecture 5: Cartesian Join
Chapter 6: Google BigQuery: SubQuery
Lecture 1: Subquery Explanation With Multiple Examples
Lecture 2: Correlated Subquery
Chapter 7: Google BigQuery:Analytical Functions
Lecture 1: Row Number
Lecture 2: Rank and Dense Rank Functions
Lecture 3: Rank and Dense Rank Example
Lecture 4: Cumulative Sum and Moving Average
Chapter 8: Google BigQuery:Advanced Concepts
Lecture 1: Case Statement
Lecture 2: IF() Function
Instructors

Saad Qureshi
Computer Scientist || Freelancer || Programmer
Rating Distribution
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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