SQL for Data Scientists, Data Engineers and Developers | Udemy
English | Size: 3.27 GB
Genre: eLearning[/center]

Solve Real-World Problems with Interactive Coding Exercises and LeetCode challenges

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.

"Lovely explanation, topics and sql challenges very well covered , 100% worth it."  Veerendra Shukla

"Very thorough overview and practice of SQL. Enough for basic tech interview of SQL." Chih-En Ko

Welcome to the course, where you'll master one of the most essential tools in the toolkit of data scientists and data engineers! The course is packed with interactive coding exercises and LeetCode challenges, allowing you to apply your skills to real-world problems. By the end of this course, you'll be well-equipped to handle any SQL-related task in your professional journey.

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 you 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.

Come on in and let's get started!

Who this course is for:
Individuals pursuing a career in software and data engineering requiring SQL proficiency

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