SQL for Everyone Transform Data into Insights
What you'll learn
- Learn how to use subqueries and temporary tables to handle complex multi-step data problems
- Get LIFETIME access to resource files, quizzes, assignments, and expert support
- Solve practical hands-on assignments and real-world eCommerce use cases
- Master unique tips and tools that you won't find anywhere else
- You will master both front and back-end development, becoming a full-stack developer by the end of the course.
Requirements
- MySQL Workbench and Community Server for Mac or Windows/PC (we’ll walk you through the free install process)
- Students are expected to have completed our SQL for Beginners course, and have a solid grasp of SELECT statements, aggregate functions, and table joins
- No prior technical experience is required! All you need a computer!
- I'll walk you through, step-by-step how to get all the software installed and set up
Description
Learn how to use SQL quickly and effectively with this course!
You'll learn how to read and write complex queries to a database using one of the most in-demand skills - PostgreSQL. These skills are also applicable to any other major SQL database, such as MySQL, Microsoft SQL Server, Amazon Redshift, Oracle, and much more.
Learning SQL is one of the fastest ways to improve your career prospects as it is one of the most in-demand tech skills! In this course, you'll learn quickly and receive challenges and tests along the way to improve your understanding!
In this course, you will learn everything you need to become an SQL Pro! Including:
Get started with PostgreSQL and PgAdmin, two of the world's most popular SQL tools
Learn the basics of SQL syntax
Analyzing data using aggregate functions with GROUP BY commands
Running advanced queries with string operations and comparison operations
Learn to use logical operators to add logic flow to your SQL queries
Learn common SQL JOIN commands
Learn to create tables and databases with constraints on data entries
Learn to use Python to further advance your SQL skills
and much, much more!
This is a course that puts you in control, having you set up and restore databases right at the start of the course, instead of watching someone else code. Every section comes with fresh challenge questions and tasks, modeled after real-world tasks and situations.
I've spent years as an instructor both online and in-person at Fortune 500 companies, and this course is built to combine the best of both worlds, allowing you to learn at your own pace through an interactive environment. You will start with the basics and soon find yourself working with advanced commands, dealing with timestamp data and variable character information like a seasoned professional.
SQL is one of the most in-demand skills for business analysts, data scientists, and anyone who finds themselves working with data! Upgrade your skill set quickly and add SQL to your resume by joining today!
I'll see you on the course!
Check out the free preview videos for more information!
Who this course is for:
- Analysts or BI professionals looking to quickly retrieve or analyze data stored in relational database systems
- SQL users looking to develop advanced skills and master one of the world’s most popular and powerful database programming languages
- Anyone interested in learning more about SQL, PostgreSQL, or basic data analysis!
- If you want to take ONE COURSE and learn everything you need to know about web development, take this course
Instructor
Hello, I'm Akhil Vydyula — Lead Data Engineer at Publicis Sapient, and Former Senior Data Scientist at PwC.
With over 5 years of rich industry experience and a strong focus on the BFSI sector, I’ve led and delivered end-to-end data and analytics solutions that power strategic decisions and transform business outcomes.
At Publicis Sapient, I currently lead complex data engineering initiatives, leveraging my deep expertise in cloud-native platforms like AWS to architect robust, scalable data pipelines. My work spans across developing and optimizing ETL workflows using PySpark and Spark SQL, orchestrating data flows via EMR, Step Functions, and EventBridge, and driving real-time and batch data processing into PostgreSQL (RDS/Redshift) environments. I've also implemented AWS Glue and DMS to seamlessly replicate and transform large-scale on-premise data into cloud-native formats.
Previously, at PwC, I specialized in advanced analytics and machine learning within the Advisory Consulting practice. I’ve built and deployed predictive models using statistical analysis, regression, classification, clustering, and text mining—particularly for risk identification and decision modeling. My passion lies in transforming raw data into actionable insights through effective data storytelling and visualization.
In parallel to my corporate career, I bring over 5 years of teaching experience, mentoring hundreds of aspiring data professionals. I’m deeply committed to helping students break into the data industry by translating real-world challenges into practical learning experiences.
Whether it's building data pipelines, uncovering business insights, or shaping the next generation of data talent, I thrive at the intersection of technology, strategy, and impact.
Let’s connect if you're passionate about data, eager to learn, or looking to collaborate on meaningful, data-driven initiatives.