filmov
tv
Advanced SQL Data Analysis Resume Project | Complex SQL (Guided) - Portfolio Series #5/10 - Datasets
Показать описание
This is an advanced SQL project where I've analysed a massive dataset of 21,600+ rows of sales data across 9+ Amazon tables. Get ready to conquer 22+ hard-hitting business problems using your SQL skills!
Get the Complete Project: Need the dataset? Unleash the full project for just $5! Here's what you'll get:
🎯 Get Latest SQL Guided Project (1M sales records)
🐍 All Python Projects:
Python ETL - Data Cleaning Project
🛢All SQL Projects
Project 1:
Project 2:
Project 3: (Advanced SQL)
🎯 Zomato Food Company Data Analysis
Project 4:
🎯 Netflix Movies Data Analysis
Project 5:
🎯 Amazon Sales Analysis (Advanced SQL)
Project 6:
🎯 Spotify Data Analysis
Project 7: (Advanced SQL)
🎯 Apple Retail Sales Analysis - 1M Sales Records
Project 8: (Real Business Problems)
🎯 Monday Coffee Extensions Analysis
You're prepping to ace your next data analyst interview.
You're looking to bolster your resume with impactful projects.
What You'll Learn:
Database Design: Structure databases with tables and relationships.
Data Importing: Properly import data into your database.
SQL Queries: Solve complex business problems, including:
Top ordered dishes by customers.
Popular order time slots.
Average Order Value (AOV) analysis.
High-value customer identification.
Orders not delivered and more.
Whether you're preparing for a data analyst interview or looking to add valuable projects to your resume, this video is designed to help you achieve your goals. Make sure to follow along and complete the project with me!
⏰ Timestamps:
Intro: 00:00:00 - 00:01:27
Database Setup: 00:1:45 – 00:52:11
Data Cleaning: 00:53:26 – 01:05:00
Q1 Solution: 01:04:30 – 1:17:30
Q2 Solution: 1:19:30 – 1:27:00
Q3 Solution: 1:27:20 – 1:34:45
Q4 Solution: 1:35:15 – 1:47:45
Q5 Solution: 1:46:30 – 1:53:00
Q6 Solution: 1:53:30 – 2:05:00
Q7 Solution: 2:07:00 – 2:10:00
Q8 Solution: 2:11:00 – 1:14:00
Q9 Solution: 2:15:00 – 2:21:00
Q10 Solution: 2:21:33 – 2:24:00
Q11 Solution: 2:25:00 – 2:41:00
Q12 Solution: 2:44:43 – 2:53:06
Q13 Solution: 2:54:00 – 3:00:00
Q14 Solution: 3:00:21 – 3:09:00
Q15 Solution: 3:10:00 – 3:16:00
Q16 Solution: 3:17:48 – 3:21:38
Q17 Solution: 3:22:00 – 3:29:13
Q18 Solution: 3:30:28 – 3:41:00
Q19 Store Procedure: 3:42:00 – 4:10:18
Project Publish on GitHub: 4:11:00 – 4:15:14
Best Data Analytics Course:
My Other YouTube Videos -
SQL 30 Days Road Map - [Free Learning Resources]
#SQL #DataAnalysis #PortfolioProject #DataCleaning #BusinessAnalysis #DataAnalyst #SQLProject #EDA #SQLTutorial #GitHub #DataScience #CareerInData #LearnSQL #SQLforDataAnalyst #AspiringDataAnalyst #ResumeProject #EndToEndProject
Get the Complete Project: Need the dataset? Unleash the full project for just $5! Here's what you'll get:
🎯 Get Latest SQL Guided Project (1M sales records)
🐍 All Python Projects:
Python ETL - Data Cleaning Project
🛢All SQL Projects
Project 1:
Project 2:
Project 3: (Advanced SQL)
🎯 Zomato Food Company Data Analysis
Project 4:
🎯 Netflix Movies Data Analysis
Project 5:
🎯 Amazon Sales Analysis (Advanced SQL)
Project 6:
🎯 Spotify Data Analysis
Project 7: (Advanced SQL)
🎯 Apple Retail Sales Analysis - 1M Sales Records
Project 8: (Real Business Problems)
🎯 Monday Coffee Extensions Analysis
You're prepping to ace your next data analyst interview.
You're looking to bolster your resume with impactful projects.
What You'll Learn:
Database Design: Structure databases with tables and relationships.
Data Importing: Properly import data into your database.
SQL Queries: Solve complex business problems, including:
Top ordered dishes by customers.
Popular order time slots.
Average Order Value (AOV) analysis.
High-value customer identification.
Orders not delivered and more.
Whether you're preparing for a data analyst interview or looking to add valuable projects to your resume, this video is designed to help you achieve your goals. Make sure to follow along and complete the project with me!
⏰ Timestamps:
Intro: 00:00:00 - 00:01:27
Database Setup: 00:1:45 – 00:52:11
Data Cleaning: 00:53:26 – 01:05:00
Q1 Solution: 01:04:30 – 1:17:30
Q2 Solution: 1:19:30 – 1:27:00
Q3 Solution: 1:27:20 – 1:34:45
Q4 Solution: 1:35:15 – 1:47:45
Q5 Solution: 1:46:30 – 1:53:00
Q6 Solution: 1:53:30 – 2:05:00
Q7 Solution: 2:07:00 – 2:10:00
Q8 Solution: 2:11:00 – 1:14:00
Q9 Solution: 2:15:00 – 2:21:00
Q10 Solution: 2:21:33 – 2:24:00
Q11 Solution: 2:25:00 – 2:41:00
Q12 Solution: 2:44:43 – 2:53:06
Q13 Solution: 2:54:00 – 3:00:00
Q14 Solution: 3:00:21 – 3:09:00
Q15 Solution: 3:10:00 – 3:16:00
Q16 Solution: 3:17:48 – 3:21:38
Q17 Solution: 3:22:00 – 3:29:13
Q18 Solution: 3:30:28 – 3:41:00
Q19 Store Procedure: 3:42:00 – 4:10:18
Project Publish on GitHub: 4:11:00 – 4:15:14
Best Data Analytics Course:
My Other YouTube Videos -
SQL 30 Days Road Map - [Free Learning Resources]
#SQL #DataAnalysis #PortfolioProject #DataCleaning #BusinessAnalysis #DataAnalyst #SQLProject #EDA #SQLTutorial #GitHub #DataScience #CareerInData #LearnSQL #SQLforDataAnalyst #AspiringDataAnalyst #ResumeProject #EndToEndProject
Комментарии