08:44

Capgemini | Employee Bonus Analysis using SQL | HR Analytics Problem

12:24

Linkedin | User Analysis using SQL | HR Analytics Problem

19:05

Ajio | Merchant Earnings Analysis using SQL | Data Science Problem

09:05

Amazon | Competitor Data Analysis using SQL | Data Analyst Problem

13:04

Fractal Analytics | Data Engineering Problem solved using SQL

18:17

Myntra | Sales Analysis using SQL | Data Engineering Problem

20:57

Google | Tricky and Complex Problem in SQL | Data Engineering Problem

09:01

Uber | Logical Problem on Joins in SQL | Data Science Problem

15:26

Master Ranking Functions in SQL | Data Analytics Problem

17:39

How to and when to use NTILE Function in SQL| Data Analytics Problem

11:16

Uber | How to create Pivot Table in SQL| Data Analytics Problem

08:16

Google | Keyword Analysis in SQL | Data Science Problem

11:15

Facebook | Recommendation System in SQL | Data Science Problem

14:02

Shopify | Active Users Session Time in SQL | Data Science Problem

13:46

Master Full Outer Join in SQL | Data Analytics Problem

13:02

Titanic passenger survivability fare analysis using SQL | Data Science Problem

13:31

Facebook Sales Analysis using Python | Data Science Problem

15:44

Facebook Sales Analysis using SQL | Data Science Problem

11:33

Spotify Interview problem solved using SQL | US Tracks Dominance

08:38

Spotify Interview problem solved using Python | US Tracks Dominance

16:31

Consecutive Days Problem using Python | Data Science Problem

13:21

Consecutive Days Problem using SQL | Data Science Problem

10:20

Advanced Analytics Problem using Python | Data Science Problem

12:30

Advanced Analytics Problem using SQL | Data Science Problem

17:27

Churn Analysis using Python | Data Science Problem

13:45

Churn Analysis using SQL | Data Science Problem

14:35

Rolling Avg. using Python | Data Science Problem

14:16

Rolling Avg. using SQL | Data Science Problem

15:11

Min Platforms Required | Data Science Problem | Solved using Python

10:35

Min Platforms Required | Data Science Problem | Solved using SQL

17:55

New User vs Repeat User | Data Science Problem | Solved using Python

13:23

New User vs Repeat User | Data Science Problem | Solved using SQL

17:06

Worst Business | Business Analytics Problem | Solved using Python

11:33

Worst Business | Business Analytics Problem | Solved using SQL

09:14

Meta | Views Per Keyword | Data Science Problem | Solved using Python

11:01

Meta | Views Per Keyword | Data Science Problem | Solved using SQL

23:05

Indigo | Aviation Industry Data Science Problem | Solved using Python

19:03

Indigo | Aviation Industry Data Science Problem | Solved using SQL

10:50

Flipkart | An Interesting Ecommerce Problem | Solved using SQL

11:20

Amazon | Hard Data Science Interview Problem | Solved using SQL

08:54

Amazon | User Purchase Pattern | Real World SQL Problem

13:45

Median in SQL | Most commonly asked concept in SQL

16:15

Facebook | Average Session Time | Most Commonly Asked Interview Problem

12:13

Microsoft | Paying vs Non Paying Downloads | Data Analytics Problem

08:40

Top 5 Percentile | Netflix| Data Analytics Problem

15:48

Popularity Percentage | Meta | Data Science Problem

26:01

Marketing Campaign Success | Amazon | Real World Business Problem

11:47

Host Popularity Rental Price | Airbnb | Hard SQL Problem

15:04

Winning Political Party | Deloitte | Tricky SQL Problem

14:41

Interesting Data Analytics Problem | McKinsey & Company

11:18

Credit Card Fraud Detection | CRED | Advanced SQL Problem

11:36

Word Count in SQL | Unique and Interesting Concept | Google

15:49

Customer Retention in SQL | Facebook | Advanced SQL Problem

15:57

Advanced SQL | Year over Year Growth in SQL.

09:09

Advanced Windows Functions | Data Science Problem | Twitter

10:08

SQL in Joins | One Stop Solution

13:38

SQL for Data Analysis - An Interesting Problem | Verizon

11:50

An Interesting SQL Problem | Spotify

08:35

TikTok SQL Interview Question for Data Analyst Position [2-3 Year Of Experience ] | Data Analytics

04:31

Sum Vs Subtotal | When to use what?