Unlock the Power of SQL: Boost Your Hiring Potential with Expert Skills for Data and Tech Roles
Welcome to the course, where you are going to learn how to Ace your SQL Tech interview. Are you ready to master one of the most essential tools in the data scientist’s toolkit?
What you’ll learn
- Master crafting SQL queries for precise data retrieval..
- Understanding Interview Essentials: What You Need to Know.
- Learn Aggregation, Window functions for advanced analysis..
- Transform data using techniques like pivoting..
- Build readable, efficient queries with CTEs and Sub-queries..
Course Content
- Introduction –> 1 lecture • 2min.
- HouseKeeping –> 9 lectures • 24min.
- Why Do Databases Have So Many Tables? –> 4 lectures • 56min.
- Exploring Data Retrieval: Basics of SELECT and WHERE Clauses from a Single Table –> 13 lectures • 31min.
- LeetCode Programming Challenge: Problem Set 1 –> 3 lectures • 10min.
- Data Transformation Using Built-in Functions and Conditional Logic –> 6 lectures • 19min.
- Mastering Joins: Combining Rows from Multiple Tables Based on Related Columns –> 8 lectures • 33min.
- LeetCode Programming Challenge: Problem Set 2 –> 2 lectures • 2min.
- Exploring Subqueries: Nested Queries for Advanced Filtering –> 4 lectures • 8min.
- LeetCode Programming Challenge: Problem Set 3 –> 2 lectures • 1min.
- Aggregation: Introduction to Data Analysis Techniques –> 6 lectures • 19min.
- Aggregation by Categories –> 11 lectures • 36min.
- LeetCode Programming Challenge: Problem Set 4 –> 3 lectures • 1min.
- Mastering Data Transformation: Exploring Pivoting Techniques in SQL –> 4 lectures • 15min.
- Mastering Common Table Expressions (CTEs): Simplifying Complex Queries –> 3 lectures • 13min.
- Unlocking Data Insights: Exploring WINDOW Functions for Advanced Analysis –> 16 lectures • 36min.
- LeetCode Programming Challenge: Problem Set 6 –> 1 lecture • 1min.
- Conclusion –> 1 lecture • 1min.
Requirements
Welcome to the course, where you are going to learn how to Ace your SQL Tech interview. Are you ready to master one of the most essential tools in the data scientist’s toolkit?
Hi, I’m Chandra Lingam, and I’ll be your guide through this journey.
Data Transformation and Retrieval: SQL (Structured Query Language) is fundamental for querying and manipulating databases. Understanding how to efficiently retrieve and transform data is crucial for any data science role, as data scientists often need to extract and prepare data before analysis or modeling.
Universal Usage: SQL is used across various databases and data management systems. Mastery of SQL makes you versatile and capable of working with different data storage systems, from traditional relational databases (e.g., MySQL, PostgreSQL) to more modern and complex systems used in big data environments (e.g., Spark, Hive, Presto).
Understanding Interview Essentials: SQL skills are commonly tested in data science interviews, especially for roles that involve data extraction, cleaning, and initial analysis. A strong foundation in SQL can help you stand out in technical interviews and practical tests.
Integration with Other Tools: SQL skills complement other data science tools and languages, such as Python and R. For instance, knowing how to use SQL alongside Python libraries like pandas for data manipulation can significantly enhance your efficiency and effectiveness in data analysis tasks.
There are plenty of coding challenges and you will apply your skills on real-world problems
You will also learn how to solve LeetCode Programming challenges. Come on in and let’s get started!