[Udemy] Master SQL For Data Science (2020)

Creation Time	Aug. 18, 2024, 6:20 p.m.
Last Access Time	Nov. 16, 2024, 10:35 p.m.
File Size	1.3 GB
Keywords	For Science Udemy Master SQL 2020 Data
Total Requests	12
Total Files	124
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lesson37.mp4 112.0 MB
lesson35.mp4 111.3 MB
lesson32.mp4 80.4 MB
lesson4.mp4 71.6 MB
lesson36.mp4 63.2 MB
lesson1.mp4 52.8 MB
lesson5.mp4 43.2 MB
lesson28.mp4 40.7 MB
lesson8.mp4 40.4 MB
lesson6.mp4 39.9 MB
lesson34.mp4 34.8 MB
lesson23.mp4 33.1 MB
lesson21.mp4 33.0 MB
lesson7.mp4 32.8 MB
lesson25.mp4 32.1 MB
lesson24.mp4 30.2 MB
lesson9.mp4 30.1 MB
lesson33.mp4 29.9 MB
lesson20.mp4 29.7 MB
lesson31.mp4 27.4 MB
lesson26.mp4 26.1 MB
lesson17.mp4 25.9 MB
lesson16.mp4 25.9 MB
lesson27.mp4 25.6 MB
lesson12.mp4 25.0 MB
lesson19.mp4 23.9 MB
lesson13.mp4 23.9 MB
lesson22.mp4 22.5 MB
lesson11.mp4 21.2 MB
lesson29.mp4 21.0 MB
lesson10.mp4 19.3 MB
lesson14.mp4 15.6 MB
lesson2.mp4 15.5 MB
lesson3.mp4 12.5 MB
lesson30.mp4 11.6 MB
lesson18.mp4 9.4 MB
lesson15.mp4 8.9 MB
2. Database Basics/6.1 mock_data.sql.sql 119.6 KB
lesson28.vtt 31.0 KB
9. Working with Multiple Tables/2. INNER and OUTER Joins + [EXERCISES].vtt 31.0 KB
lesson8.vtt 28.4 KB
3. SQL Query Basics/2. Filter Data Using the WHERE Clause + AND & OR.vtt 28.4 KB
lesson5.vtt 25.6 KB
2. Database Basics/5. Create Table and Insert Statements.vtt 25.6 KB
lesson34.vtt 25.3 KB
10. Window Functions for Analytics/2. Ordering Data in Window Frames.vtt 25.3 KB
lesson25.vtt 24.9 KB
8. Advanced Query Techniques using Correlated Subqueries/1. Understanding Correlated Subqueries.vtt 24.9 KB
lesson23.vtt 24.2 KB
7. Using the CASE Clause in Interesting Ways/1. Conditional Expressions Using CASE Clause + [EXERCISES].vtt 24.2 KB
lesson33.vtt 23.6 KB
10. Window Functions for Analytics/1. Window Functions using the OVER() Clause.vtt 23.6 KB
lesson21.vtt 23.0 KB
6. Using Subqueries/4. Subqueries with ANY and ALL Operators + [EXERCISES].vtt 23.0 KB
lesson20.vtt 22.1 KB
6. Using Subqueries/3. Subqueries Continued + [EXERCISES].vtt 22.1 KB
lesson7.vtt 21.2 KB
3. SQL Query Basics/1. Introducing the SELECT Statement.vtt 21.2 KB
lesson17.vtt 21.0 KB
5. Grouping Data and Computing Aggregates/3. [EXERCISES] Using GROUP BY and HAVING Clauses.vtt 21.0 KB
lesson16.vtt 20.9 KB
5. Grouping Data and Computing Aggregates/2. GROUP BY & HAVING Clauses.vtt 20.9 KB
lesson24.vtt 20.8 KB
7. Using the CASE Clause in Interesting Ways/2. Transposing Data using the CASE Clause + [EXERCISES].vtt 20.8 KB
lesson31.vtt 20.3 KB
9. Working with Multiple Tables/5. [EXERCISES] Joins and Subqueries Continued.vtt 20.3 KB
lesson13.vtt 20.2 KB
4. Using Functions/2. String Functions SUBSTRING(), REPLACE(), POSITION() and COALESCE().vtt 20.2 KB
lesson12.vtt 19.6 KB
4. Using Functions/1. UPPER(), LOWER(), LENGTH(), TRIM() + Boolean Expressions & Concatenation.vtt 19.6 KB
lesson27.vtt 19.5 KB
9. Working with Multiple Tables/1. Introducing Table Joins.vtt 19.5 KB
lesson26.vtt 18.8 KB
8. Advanced Query Techniques using Correlated Subqueries/2. [EXERCISES] Correlated Subqueries Continued.vtt 18.8 KB
lesson9.vtt 18.6 KB
3. SQL Query Basics/3. Filtering Operators - IN, NOT IN, IS NULL, BETWEEN.vtt 18.6 KB
lesson29.vtt 18.5 KB
9. Working with Multiple Tables/3. Using UNION, UNION ALL and EXCEPT Clauses + [EXERCISES].vtt 18.5 KB
lesson22.vtt 18.3 KB
6. Using Subqueries/5. [EXERCISES] More Practice with Subqueries.vtt 18.3 KB
lesson6.vtt 17.1 KB
2. Database Basics/6. Prepare the Database.vtt 17.1 KB
lesson19.vtt 16.8 KB
6. Using Subqueries/2. Introducing Subqueries.vtt 16.8 KB
lesson35.vtt 15.1 KB
10. Window Functions for Analytics/3. RANK, FIRST_VALUE and NTILE Functions.vtt 15.1 KB
lesson37.vtt 14.4 KB
10. Window Functions for Analytics/5. Working with Rollups and Cubes.vtt 14.4 KB
lesson11.vtt 13.8 KB
3. SQL Query Basics/5. Using ORDER BY, LIMIT, DISTINCT and Renaming Columns.vtt 13.8 KB
lesson10.vtt 13.6 KB
3. SQL Query Basics/4. [EXERCISES] WHERE Clause and Operators.vtt 13.6 KB
lesson14.vtt 12.6 KB
4. Using Functions/3. Grouping Functions MIN(), MAX(), AVG(), SUM(), COUNT().vtt 12.6 KB
lesson32.vtt 11.7 KB
9. Working with Multiple Tables/6. Creating Views vs. Inline Views.vtt 11.7 KB
lesson2.vtt 11.5 KB
2. Database Basics/1. What is a Database.vtt 11.5 KB
lesson4.vtt 10.1 KB
2. Database Basics/4. Install Postgres on Windows.vtt 10.1 KB
lesson36.vtt 9.7 KB
10. Window Functions for Analytics/4. LEAD and LAG Functions.vtt 9.7 KB
lesson3.vtt 9.3 KB
2. Database Basics/2. Install Postgres Database on Mac.vtt 9.3 KB
lesson30.vtt 8.1 KB
9. Working with Multiple Tables/4. Cartesian Product with the CROSS JOIN.vtt 8.1 KB
lesson18.vtt 7.9 KB
6. Using Subqueries/1. Aliasing Sources of Data.vtt 7.9 KB
lesson15.vtt 7.4 KB
5. Grouping Data and Computing Aggregates/1. Understanding Grouping.vtt 7.4 KB
lesson1.vtt 6.3 KB
1. Chapter 1/1. Course Overview.vtt 6.3 KB
Master SQL For Data Science.txt 1.4 KB
2. Database Basics/3. Troubleshoot Connection.html 1.1 KB
10. Window Functions for Analytics/5.1 sales_tbl.txt.txt 696 bytes
SQL for Data Science Learn SQL through Interactive Exercises Udemy.URL 238 bytes
2. Database Basics/7. Create More Tables and Populate Data.html 138 bytes
3. SQL Query Basics/6. Practice Writing Basic Queries (5 Problems).html 138 bytes
4. Using Functions/4. Practice with Functions, Conditional Expressions and Concatenation.html 138 bytes
5. Grouping Data and Computing Aggregates/4. Practice Aggregation Queries.html 138 bytes
6. Using Subqueries/6. Practice with Subqueries.html 138 bytes
7. Using the CASE Clause in Interesting Ways/3. Practice Using Case and Transposing Data.html 138 bytes
9. Working with Multiple Tables/7. ADVANCED Problems using Joins, Grouping and Subqueries.html 138 bytes
11. Difficult Query Challenges/1. Challenging Puzzles For the Brave.html 138 bytes

[Udemy] Master SQL For Data Science (2020)

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