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Advanced SQL for Data Analysis - 10 Powerful Examples in 40 minutes πŸ•—
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SQL Concepts - Advanced SQL for Data Analysis - 10 Powerful Examples in 40 minutes πŸ•—

Master SQL Essentials: From Beginner to Pro in Data Analysis and Beyond!

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12 learners

What you'll learn

Understand the basics of SQL and its application in data analysis
Utilize SQL with tools like Power BI for comprehensive data reporting
Master different types of SQL joins to manipulate and analyze data effectively
Learn how to create and manage a database using MS Access

This course includes

  • 6.5 hours of video
  • Certificate of completion
  • Access on mobile and TV

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Full Transcript

Learn ADVANCED SQL with 10 PRACTICAL QUERIES in this video. πŸ’₯ Course page πŸ‘‰ https://chandoo.org/dac You will be learning: How to use WHERE clause in SQL Work with AND / OR / LIKE / IN operators in SQL Getting DISTINCT values with SQL Grouping data with GROUP BY Using SQL JOINS Creating Common Table Expressions (CTE) Business Analysis and Decision Making with SQL For the purpose of this video, we will be using the Sakila sample database of MySQL. I explain the process of installing MySQL and the sample databases in the previous video of this series here - https://youtu.be/Iceaqdy7mEs The queries we will be developing are: # 1) All films with PG-13 films with rental rate of 2.99 or lower # 2) All films that have deleted scenes # 3) All active customers # 4) Names of customers who rented a movie on 26th July 2005 # 5) Distinct names of customers who rented a movie on 26th July 2005 # 6) How many rentals we do on each day? # 7) All Sci-fi films in our catalogue # 8) Customers and how many movies they rented from us so far? # 9) Which movies should we discontinue from our catalogue (less than 2 lifetime rentals) # 10) Which movies are not returned yet? # H1) How many distinct last names we have in the data? # H2) How much money and rentals we make for Store 1 by day? # What are the three top earning days so far? ~ ⏱ VIDEO TOPICS: =============== 0:00 - Introduction to Advanced SQL 0:48 - How to understand the structure of any dataset? (ERD) 4:30 - Primary vs. Foreign Key 7:30 - Let's write SQL queries 7:50 - Query 1 11:32 - Query 2 13:37 - Query 3 14:28 - Homework 14:43 - Query 4 19:32 - Bonus Query 20:34 - Query 5 21:43 - Homework 22:04 - Query 6 24:42 - Query 7 29:15 - Query 8 32:10 - Query 9 35:36 - How to use CTEs (Common Table Expressions) 38:37 - Query 10 42:06 - Homework 42:45 - Limitations of SQL πŸ“ Sample data and completed queries: ================================= For all sample files, completed queries and homework solutions, visit the page below: https://chandoo.org/dac πŸ’₯ ADVANCED DATA COURSES BY CHANDOO ====================================== If you want to learn advanced Excel and / or Power BI, consider my paid courses. These in-depth courses cover the entire spectrum of Excel, Power BI, Power Query, Power Pivot and Dashboard reporting in one place with plenty of real-world examples, portfolio projects and completion certificate. Check out these links: Advanced Excel Course - https://chandoo.org/wp/excel-school-program/ Advanced Power BI Course - https://chandoo.org/wp/power-bi-course/ ~ #sql #database #chandoo #freedataanalystcourse #fdac

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