Mastering SQL in BigQuery: From Zero to Hero

Mastering SQL in BigQuery: From Zero to Hero, available at $19.99, has an average rating of 4.5, with 15 lectures, based on 54 reviews, and has 2614 subscribers.

You will learn about 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. This course is ideal for individuals who are This course is ideal for individuals who are starting their journey in the field of data management and analysis or Aspiring data analysts, students in computer science, professionals looking to add SQL skills to their toolkit It is particularly useful for This course is ideal for individuals who are starting their journey in the field of data management and analysis or Aspiring data analysts, students in computer science, professionals looking to add SQL skills to their toolkit.

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Summary

Title: Mastering SQL in BigQuery: From Zero to Hero

Price: $19.99

Average Rating: 4.5

Number of Lectures: 15

Number of Published Lectures: 15

Number of Curriculum Items: 15

Number of Published Curriculum Objects: 15

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will 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.

Who Should Attend

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

Target Audiences

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

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.

Course Curriculum

Chapter 1: Introduction to SQL and BigQuery

Lecture 1: Intro to SQL

Lecture 2: Setting Up BigQuery

Lecture 3: Accessing BigQuery Public Data

Chapter 2: Basic Querying Techniques

Lecture 1: Selecting Data Using SELECT

Lecture 2: Filtering Data Using WHERE

Lecture 3: Sorting Data Using ORDER BY

Lecture 4: Limiting Results Using LIMIT

Chapter 3: Advanced Querying and Aggregations

Lecture 1: Joining Multiple Tables

Lecture 2: Grouping Data with GROUP BY

Lecture 3: Aggregate Functions in SQL

Lecture 4: HAVING Clause

Chapter 4: Advanced SQL Concepts

Lecture 1: Subqueries

Lecture 2: Handling Temporal Data

Lecture 3: CASE Statement

Lecture 4: Common Table Expressions (CTEs)

Instructors

Ingenium Academy
Where Modern Concepts Meet Real-World Value

Rating Distribution

1 stars: 3 votes
2 stars: 0 votes
3 stars: 5 votes
4 stars: 20 votes
5 stars: 26 votes

Frequently Asked Questions

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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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