If you are looking to level up your SQL skills and handle complex data queries efficiently, Kaggle’s Advanced SQL course is a perfect choice. Designed for learners who already know the basics of SQL, this course provides practical, hands-on exercises to master JOINs, analytic functions, nested data, and query optimization. The course is free, self-paced, and ideal for anyone aiming to excel in data analytics, data science, or database management.

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Course Overview Table

Course Name	Advanced SQL
Platform	Kaggle Learn
Instructor	Alexis Cook
Duration	4 Hours (Estimated)
Cost	Free
Level	Intermediate / Advanced
Prerequisite	Intro to SQL
Format	Tutorials + Exercises
Certificate	Yes, upon completion
Focus Areas	JOINs, UNIONs, Analytic Functions, Nested Data, Query Optimization

About the Course

Kaggle Learn’s Advanced SQL course builds on the foundational knowledge of SQL. It focuses on enabling learners to write efficient queries, analyze complex datasets, and extract meaningful insights from structured and semi-structured data. The course includes tutorials and exercises that reinforce learning and ensure practical application of concepts.

By the end of the course, learners will be able to:

• Combine data from multiple tables using JOINs and UNIONs.
• Perform advanced calculations using analytic functions.
• Query nested and repeated data efficiently in BigQuery.
• Optimize SQL queries for performance and reduced data usage.

Key Lessons

1. JOINs and UNIONs

Learn to combine data from multiple tables effectively. This lesson focuses on different types of JOINs—INNER, LEFT, RIGHT, FULL—and how to use UNIONs to merge query results.

Benefits:

• Integrates scattered data for comprehensive analysis.
• Prepares learners for real-world SQL scenarios.

2. Analytic Functions

Understand window functions, ranking functions, and aggregations to perform complex calculations across groups of rows.

Benefits:

• Enables advanced analytics like moving averages, percentiles, and ranking.
• Provides insights without creating temporary tables.

3. Nested and Repeated Data

Learn to handle complex data types like arrays and structs, common in platforms like BigQuery.

Benefits:

• Access and manipulate nested fields efficiently.
• Work with large-scale datasets in modern data warehouses.

4. Writing Efficient Queries

Focus on optimizing queries for speed and efficiency. Learn to reduce data scanned, use proper indexing, and write queries that run faster with less computational cost.

Benefits:

• Enhances productivity when working with large datasets.
• Reduces processing time and cloud costs.

Why Take Advanced SQL on Kaggle Learn?

1. Free and Accessible – Like all Kaggle Learn courses, this course costs nothing and can be accessed from anywhere.
2. Hands-On Practice – Tutorials are combined with exercises that allow learners to apply concepts immediately.
3. Flexible Learning – Self-paced, 4-hour estimated completion, suitable for working professionals and students.
4. Real-World Application – Focuses on skills used in data analytics, data engineering, and business intelligence roles.
5. Certificate – Earn a certificate to showcase your SQL proficiency on your resume or LinkedIn profile.

Who Should Enroll

• Data Analysts – Who want to improve query efficiency and handle complex datasets.
• Aspiring Data Scientists – To strengthen SQL skills essential for data modeling and analysis.
• Database Professionals – Looking to master advanced SQL functions and performance optimization.
• Students & Beginners – Who have completed Intro to SQL and want to move to the next level.

Benefits of Learning Advanced SQL

• Write complex queries across multiple tables with confidence.
• Gain expertise in analytic functions and data transformation.
• Handle nested and repeated data efficiently, especially in cloud data platforms.
• Optimize queries for speed, efficiency, and reduced costs.
• Increase career prospects in analytics, BI, and data science roles.

Course Completion & Certificate

• Estimated 4 hours to complete.
• Complete all lessons and exercises to earn a Kaggle Learn certificate.
• The certificate can be added to your LinkedIn profile or resume, demonstrating your advanced SQL proficiency to potential employers.

Conclusion

ClinicMind’s Junior Data Scientist role is a perfect choice for beginners who want a permanent WFH job, strong career growth, and hands-on experience with industry tools like SQL, Redshift, and QuickSight. If you want a stable remote career with global exposure, this is one of the best opportunities to apply for today.