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Download [Udemy] Master SQL For Data Science (2020)

Udemy Master SQL For Data Science 2020

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[Udemy] Master SQL For Data Science (2020)

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Total Size

1.4 GB

Total Files

124

Last Seen

2024-11-06 02:37

Hash

D29CDF6FEB17934F704948B6631CE971394E9B30

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lesson37.mp4

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lesson37.vtt

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Master SQL For Data Science.txt

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SQL for Data Science Learn SQL through Interactive Exercises Udemy.URL

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/1. Chapter 1/

1. Course Overview.vtt

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/2. Database Basics/

1. What is a Database.vtt

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2. Install Postgres Database on Mac.vtt

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3. Troubleshoot Connection.html

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4. Install Postgres on Windows.vtt

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5. Create Table and Insert Statements.vtt

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6. Prepare the Database.vtt

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6.1 mock_data.sql.sql

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7. Create More Tables and Populate Data.html

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/3. SQL Query Basics/

1. Introducing the SELECT Statement.vtt

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2. Filter Data Using the WHERE Clause + AND & OR.vtt

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3. Filtering Operators - IN, NOT IN, IS NULL, BETWEEN.vtt

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4. [EXERCISES] WHERE Clause and Operators.vtt

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5. Using ORDER BY, LIMIT, DISTINCT and Renaming Columns.vtt

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6. Practice Writing Basic Queries (5 Problems).html

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/4. Using Functions/

1. UPPER(), LOWER(), LENGTH(), TRIM() + Boolean Expressions & Concatenation.vtt

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2. String Functions SUBSTRING(), REPLACE(), POSITION() and COALESCE().vtt

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3. Grouping Functions MIN(), MAX(), AVG(), SUM(), COUNT().vtt

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4. Practice with Functions, Conditional Expressions and Concatenation.html

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/5. Grouping Data and Computing Aggregates/

1. Understanding Grouping.vtt

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2. GROUP BY & HAVING Clauses.vtt

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3. [EXERCISES] Using GROUP BY and HAVING Clauses.vtt

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4. Practice Aggregation Queries.html

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/6. Using Subqueries/

1. Aliasing Sources of Data.vtt

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2. Introducing Subqueries.vtt

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3. Subqueries Continued + [EXERCISES].vtt

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4. Subqueries with ANY and ALL Operators + [EXERCISES].vtt

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5. [EXERCISES] More Practice with Subqueries.vtt

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6. Practice with Subqueries.html

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/7. Using the CASE Clause in Interesting Ways/

1. Conditional Expressions Using CASE Clause + [EXERCISES].vtt

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2. Transposing Data using the CASE Clause + [EXERCISES].vtt

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3. Practice Using Case and Transposing Data.html

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/8. Advanced Query Techniques using Correlated Subqueries/

1. Understanding Correlated Subqueries.vtt

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2. [EXERCISES] Correlated Subqueries Continued.vtt

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/9. Working with Multiple Tables/

1. Introducing Table Joins.vtt

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2. INNER and OUTER Joins + [EXERCISES].vtt

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3. Using UNION, UNION ALL and EXCEPT Clauses + [EXERCISES].vtt

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4. Cartesian Product with the CROSS JOIN.vtt

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5. [EXERCISES] Joins and Subqueries Continued.vtt

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6. Creating Views vs. Inline Views.vtt

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7. ADVANCED Problems using Joins, Grouping and Subqueries.html

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/10. Window Functions for Analytics/

1. Window Functions using the OVER() Clause.vtt

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2. Ordering Data in Window Frames.vtt

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3. RANK, FIRST_VALUE and NTILE Functions.vtt

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4. LEAD and LAG Functions.vtt

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5. Working with Rollups and Cubes.vtt

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5.1 sales_tbl.txt.txt

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/11. Difficult Query Challenges/

1. Challenging Puzzles For the Brave.html

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Total files 124


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