100 Days of SQL : Ace The SQL Interviews Like a PRO!! | Udemy [Update 07/2025]
English | Size: 9.9 GB
Genre: eLearning[/center]

SQL For Data Analytics

What you'll learn
SQL interview questions from companies like Amazon, Google, Uber, and Microsoft
Problem Solving Mindset for Complex SQLs
Tricks to crack SQL interviews with ease
Multiple ways to solve a SQL problem
How to think through problems like a hiring manager wants you to
Clean and optimized SQL writing - beyond just passing test cases
Real-world tips for cracking online SQL assessments and technical interviews
Pattern recognition to quickly solve similar questions in interviews

Struggling to crack SQL interviews? Want to master real-world SQL problems one step at a time?

Welcome to 100 Days of SQL : Ace The SQL Interviews Like a PRO!! -  a hands-on, structured, and practical course designed to make you interview-ready with just one question a day!

In this course, you'll solve 100 carefully curated SQL problems that are frequently asked in top tech and data companies. Each day brings you a short, focused video where we break down a new SQL question from scratch.

Why This Course?

Bite-sized lessons: Learn by solving 1 question a day - just 15-20 mins daily

Real company questions: Questions sourced from actual interviews and platforms.

Progressive difficulty: Questions range from beginner to advanced, building your confidence over time

Code-along style: No theory overload - just practical, hands-on SQL with clear explanations

Learn Advanced Concepts: Techniques to handle aggregation, window functions, CTEs, subqueries, joins, and more

Taught by a creator with 200K+ followers: Learn from someone who's helped thousands crack SQL interviews through YouTube , LinkedIn and NamasteSQL Platform .

Community + guidance: Ask doubts anytime and get support as you go

Whether you're stuck in SQL interviews or just starting your data journey, this course is your daily SQL gym - show up for 100 days and walk away job-ready.

Who this course is for:
Data Analyst
Data Engineer
Data Scientist
Business Intelligence Engineers
Business Analyst
SQL Developer
ETL Developer

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