Mastering SQL in Google BigQuery: From Zero to Hero

Name: Mastering SQL in Google BigQuery: From Zero to Hero
Rating: 4.2 (72 reviews)

Unlock the Power of Data Analysis with SQL and Google's BigQuery

Created byTensor Teach

Last updated 9/2024

English

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What you'll learn

Gain proficiency in SQL basics: Understand and utilize SQL for data management and querying tasks.
Develop skills in querying databases: Master SELECT, WHERE, ORDER BY, and LIMIT clauses for data filtering and sorting.
Learn advanced data handling techniques: Acquire the ability to perform complex SQL operations like JOINs, aggregations, and subqueries.
Apply SQL to real-world datasets: Complete practical exercises using BigQuery and public datasets for hands-on experience.

Course content

4 sections • 15 lectures • 54m total length

Intro to SQL2:37
Understand what SQL is and why it powers relational databases like MySQL, PostgreSQL, and Oracle, with structured data in tabular formats. Explore BigQuery for large dataset queries on Google Cloud.
Setting Up BigQuery2:35
Explore what BigQuery is as a data warehouse for relational databases, and learn to create a BigQuery project, access datasets, and follow along with SQL lessons using a sandbox environment.
Accessing BigQuery Public Data2:07
Load and explore BigQuery public data sets in your workspace, using the Austin bikeshare data and other public datasets, by adding public data sets and viewing them in the workspace.

Selecting Data Using SELECT3:39
Learn to query the Austin bike share dataset in Google BigQuery using select to pull all columns or a subset of fields from the stations and trips tables.
Filtering Data Using WHERE2:59
Learn to filter data with the where clause, using equal and not equal operators to surface active stations and trips longer than 120 minutes.
Sorting Data Using ORDER BY2:50
Learn how to sort results with the order by clause in SQL, descending by duration minutes or start time to reveal the longest and most recent trips.
Limiting Results Using LIMIT1:31
Learn to limit a result set in Google BigQuery using the limit clause to fetch the top ten rows, speeding up queries and returning only what you need.

Joining Multiple Tables6:23
Learn to join data from multiple tables using inner and left joins, aligning trips with stations on start station id and selecting relevant columns while handling unmatched records.
Grouping Data with GROUP BY4:29
Group data with the group by clause to bucket records by subscriber type and start station name, count trips, and sort results by descending trips.
Aggregate Functions in SQL3:01
Explore aggregate functions in SQL by grouping bikeshare trip data by start station, computing sum, average, and max of total minutes traveled, and ordering results.
HAVING Clause1:14
Master the having clause to filter grouped data after aggregation, using it like a where clause to constrain results by an aggregate metric such as trips per subscriber type.

Subqueries10:07
Explore nested subqueries in Google BigQuery, using inner joins and group by to count trips per station and bikes departing, then compare each station’s daily average to the market average.
Handling Temporal Data4:09
Explore temporal data handling in SQL and BigQuery by extracting year, month, date, and time from start times, filtering by date, counting trips per day, and visualizing time-series data.
CASE Statement3:11
Learn to use the case statement in sql to label trips as short, medium, or long and to count electric versus regular trips by start station.
Common Table Expressions (CTEs)4:03
Learn how common table expressions (CTEs) create temporary result sets in BigQuery, improving readability, and use multiple CTEs to compute total and electric trips and their percentages.

Requirements

No prior SQL experience required: The course is designed for beginners. Familiarity with basic computing skills is sufficient.

Description

Dive into the world of data manipulation and analysis with "Mastering SQL in BigQuery: From Zero to Hero," a comprehensive course designed to transform beginners into proficient users of SQL within the powerful platform of Google's BigQuery. This course offers a structured journey through the essentials of SQL, tailored specifically to harness the full potential of BigQuery's robust data processing capabilities.

Section 1: Introduction to SQL and BigQuery sets the foundation. Starting with the basics of SQL, you'll grasp the significance of this ubiquitous querying language in the realm of data management. The section progresses to practical skills in setting up a BigQuery project, navigating Google Cloud Console, and understanding billing procedures. A hands-on exploration of BigQuery's public datasets provides an early look into real-world data structures and prepares you for the journey ahead.

In Section 2: Basic Querying Techniques, you'll begin interacting with data directly. Through a series of guided exercises, you'll learn to select, filter, sort, and limit data effectively using core SQL clauses. This section is essential for building your confidence in data retrieval and manipulation.

Section 3: Advanced Querying and Aggregations elevates your skills to a new level. Here, you'll delve into more complex operations like joining multiple tables and performing aggregations. You'll understand how to group data, use aggregate functions like SUM() and AVG(), and filter grouped data with the HAVING clause, skills crucial for in-depth data analysis.

The course culminates with Section 4: Intermediate SQL Concepts, where you'll tackle more sophisticated aspects of SQL. This includes mastering subqueries, handling temporal data, utilizing case statements for conditional logic, and crafting complex queries with Common Table Expressions (CTEs). These skills are indispensable for anyone looking to excel in data analytics.

Whether you're a student, data enthusiast, or a professional aiming to sharpen your data handling skills, this course offers the tools and knowledge you need to become a BigQuery hero. By the end, you'll not only understand SQL and BigQuery but will be equipped to apply these powerful tools to real-world data challenges.

Who this course is for:

This course is ideal for individuals who are starting their journey in the field of data management and analysis
Aspiring data analysts, students in computer science, professionals looking to add SQL skills to their toolkit

Mastering SQL in Google BigQuery: From Zero to Hero

What you'll learn

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Course content

Introduction to SQL and BigQuery3 lectures • 7min

Basic Querying Techniques4 lectures • 11min

Advanced Querying and Aggregations4 lectures • 15min

Advanced SQL Concepts4 lectures • 22min

Requirements

Description

Who this course is for: