SQL & BigQuery Essentials in Less Than 2 Hours

What you'll 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

Requirements:
You will need a Google Workspace account (Free)

Description:
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.

Who this course is for:
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

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