What you'll learn:
This course applies to all level learner who wants to break into tech and consulting area as a data engineer, business intelligence engineer or data analyst..
I will go through key SQL knowledges that relevant to FANNG SQL interview.
At the end of each chapter, you will practice on real interview questions asked by FANNG companies.
Ready to get you next million tech job, this is the course for you.
Requirements:
Basic knowledge on SQL, such as can write a few lines of SQL and knowing select, group by and order by.
Description:
In today's tech-driven world, data engineers are in high demand, and SQL is at the heart of almost every data engineering role. "Breaking into Data Engineering in Tech: Acing the SQL Interview" is designed to equip aspiring data engineers with the critical SQL skills needed to pass technical interviews and land a job in the tech industry.This course offers a deep dive into SQL, covering everything from the basics to advanced query techniques commonly tested in data engineering interviews. You'll learn to write optimized, efficient SQL queries for real-world scenarios, tackle complex problems involving large datasets, and understand key data warehouse principles.Who This Course is For:Aspiring data engineers, business intelligence engineer or business intelligence analyst preparing for SQL interviews in the tech industrySoftware engineers or analysts looking to transition into data engineering rolesProfessionals who want to strengthen their SQL skills and enhance their data manipulation expertisWhat You Will Learn:Master SQL query writing, including complex joins, subqueries, and data aggregation, window functionsOptimize queries for performance and handle large-scale datasetsTackle common SQL interview questions with confidenceUnderstand database design, indexing, and normalization principlesPrepare yourself to break into one of the fastest-growing fields in tech by mastering SQL, a critical tool for every data engineer.
Who this course is for:
This course is for people who want pivot into data engineer, business intelligence engineer or data analyst role in tech or experienced data engineer having an upcoming SQL interview
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