SQL & BigQuery Essentials in Less Than 2 Hours

SQL & BigQuery Essentials in Less Than 2 Hours, available at $19.99, has an average rating of 5, with 19 lectures, based on 5 reviews, and has 5 subscribers.

You will learn about Boost your analytical capabilities leveraging the power of SQL and a data warehouse Understand the fundamentals of BigQuery and SQL in today's data-driven landscape Master the process of creating projects, datasets, and importing data from Google Sheets into BigQuery Learn how to schedule and automate queries in BigQuery for increased productivity Comprehend SQL essentials such as syntax, SELECT statements, and the use of basic functions like DISTINCT and LIMIT Practice SQL operations through exercises focused on WHERE clauses, logical operators, and conditional statements Understand advanced SQL concepts like aggregate functions, GROUP BY clauses, and data summarization techniques for deeper analysis This course is ideal for individuals who are Data-savvy learners eager to up their analytical game in Google Workspace environment or Non-technical professionals seeking to stand out in their roles by acquiring advanced analytics skills or Entrepreneurs or freelancers wishing to autonomously automate data analysis It is particularly useful for Data-savvy learners eager to up their analytical game in Google Workspace environment or Non-technical professionals seeking to stand out in their roles by acquiring advanced analytics skills or Entrepreneurs or freelancers wishing to autonomously automate data analysis.

Enroll now: SQL & BigQuery Essentials in Less Than 2 Hours

Summary

Title: SQL & BigQuery Essentials in Less Than 2 Hours

Price: $19.99

Average Rating: 5

Number of Lectures: 19

Number of Published Lectures: 19

Number of Curriculum Items: 28

Number of Published Curriculum Objects: 28

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Boost your analytical capabilities leveraging the power of SQL and a data warehouse
Understand the fundamentals of BigQuery and SQL in today's data-driven landscape
Master the process of creating projects, datasets, and importing data from Google Sheets into BigQuery
Learn how to schedule and automate queries in BigQuery for increased productivity
Comprehend SQL essentials such as syntax, SELECT statements, and the use of basic functions like DISTINCT and LIMIT
Practice SQL operations through exercises focused on WHERE clauses, logical operators, and conditional statements
Understand advanced SQL concepts like aggregate functions, GROUP BY clauses, and data summarization techniques for deeper analysis

Who Should Attend

Data-savvy learners eager to up their analytical game in Google Workspace environment
Non-technical professionals seeking to stand out in their roles by acquiring advanced analytics skills
Entrepreneurs or freelancers wishing to autonomously automate data analysis

Target Audiences

Data-savvy learners eager to up their analytical game in Google Workspace environment
Non-technical professionals seeking to stand out in their roles by acquiring advanced analytics skills
Entrepreneurs or freelancers wishing to autonomously automate data analysis

Hello everyone ! I’m Pierre, a product manager and data analyst with a mission to make tech more accessible. Like many of you, I don’t come from a technical background. I’ve had to upskill myself on various tools and techniques on my own and I’ve found these skills to be immensely useful in my career. That’s why I’ve created this course focused on data analytics, specifically SQL and BigQuery.

In today’s data-centric world, mastering SQL and data warehouses is essential for professionals across various industries. Surprisingly, these skills are highly approachable even for individuals without a technical background. This course is designed to demystify the fundamentals of SQL and BigQuery, empowering learners to harness the power of data analysis.

Throughout this course, learners embark on a journey to unlock the potential of data analysis. With an exploration of SQL essentials, participants grasp foundational concepts such as querying databases, manipulating data, and extracting valuable insights. Hands-on exercises and practical examples build confidence in executing SQL commands and navigating data warehouses.

This course also offers an introduction of BigQuery, Google’s powerful cloud-based data warehouse. Participants learn to set up BigQuery accounts, create projects, import data, and interact with tables effectively. Understanding the billing structure and monitoring costs ensures efficient resource usage.

With Google Workspace and BigQuery being freely available, participants can seamlessly dive into SQL implementation without any upfront costs. This accessibility enables individuals to begin analyzing their own datasets immediately, without relying on external resources or incurring expenses.

By the course’s conclusion, learners emerge equipped with the knowledge and skills needed to confidently embark on their data analysis journey. Whether entrepreneurs, freelancers, or aspiring data enthusiasts, this course offers a comprehensive foundation in SQL and BigQuery, enabling the leverage of data-driven insights for informed decision-making and professional advancement.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Welcome to the course!

Lecture 2: What you will learn in this course

Chapter 2: Introduction to BigQuery – Part I

Lecture 1: Introduction to BigQuery

Lecture 2: Set Up a BigQuery Account and Create a Project

Lecture 3: Create a Project and Import Data from Google Sheets

Lecture 4: Interact with Tables: Naming, Saving Queries, Views, and Permissions

Lecture 5: Understand Billing in BigQuery and Monitor Costs

Chapter 3: Introduction to SQL – Part I

Lecture 1: Introduction to SQL

Lecture 2: Master Basic SQL Syntax

Lecture 3: Dive into SQL Conditions

Lecture 4: Sort Data with ORDER BY

Lecture 5: Use Aggregate Functions and GROUP BY

Chapter 4: Introduction to SQL – Part II

Lecture 1: Introduction to SQL JOINS

Lecture 2: LEFT JOIN Example

Lecture 3: Explore Subqueries using WITH

Lecture 4: Leverage ChatGPT as SQL Assistant

Chapter 5: Introduction to SQL – Part II

Lecture 1: Compare Query Versions

Lecture 2: Schedule Queries

Chapter 6: Conclusion

Lecture 1: Congrats and Thank you!

Instructors

Pierre Sarkis
On a Mission to Make Tech Products Accessible to Non-Techies

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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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