Udemy - Practical Sql For Analysts - From Zero To Ctes

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Udemy - Practical Sql For Analysts - From Zero To Ctes (Size: 258.8 MB)
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ~Get Your Files Here !
  1 - Introduction What Is A Database
  1 - Welcome What Is A Database Why Sql.mp4 22 MB
  11 - Recap And Next Steps
  12 - Bonus Reference Materials
  17 - Bonus 1 Top 10 Sql Errors And How To Fix Them.html 12.1 KB
  18 - Bonus 2 Sql Dialect Cheat Sheet Sqlite Postgresql Mysql Ms Sql Oracle.html 9.2 KB
  19 - Bonus 3 Postgresql Setup Guide Step By Step.html 14.4 KB
  19 - ecommerce-postgres.sql 186.3 KB
  2 - Ddl Create Your First Table
  3 - Dml Insert Update Delete
  4 - Select Reading And Filtering Data
  5 - Aggregations And Group By
  10 - Lecture 5 Study Guide.html 22.7 KB
  7 - Joins Connecting Tables
  11 - Lecture 6 Joins Connecting Tables.mp4 38.8 MB
  12 - Lecture 6 Study Guide.html 27.3 KB
  8 - Subqueries And Ctes
  13 - Lecture 7 Subqueries And Ctes.mp4 35.5 MB
  14 - Lecture 7 Study Guide.html 21.3 KB
  9 - Lecture 5 Aggregations Group By Dates.mp4 37 MB
  7 - Lecture 4 Select Where Null Order By Limit Distinct.mp4 31 MB
  8 - Lecture 4 Study Guide.html 24 KB
  5 - Lecture 3 Dml Insert Update Delete The Where Rule.mp4 27.4 MB
  6 - Lecture 3 Study Guide.html 29.4 KB
  3 - Lecture 2 Ddl Create Your First Table.mp4 47.8 MB
  4 - Lecture 2 Study Guide.html 35.1 KB
  15 - Lecture 8 Recap And Whats Next.mp4 18.9 MB
  16 - Lecture 8 Study Guide.html 9.8 KB
  2 - Lecture 1 Study Guide.html 35.2 KB

Description


Practical Sql For Analysts: From Zero To Ctes
https://WebToolTip.com
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz

Language: English | Size: 258.79 MB | Duration: 2h 37m
Build, Fill, and Query a Real E-Commerce Database — DDL, DML, JOINs, Subqueries & CTEs. Build a Real Sales Dashboard.
What you'll learn

Design and create database tables using DDL commands (CREATE TABLE, ALTER TABLE, DROP TABLE) with appropriate data types, primary keys, and foreign keys.

Manipulate data safely using INSERT, UPDATE, and DELETE statements, applying the "always use WHERE" rule to avoid catastrophic mistakes.

Read and filter data with SELECT, WHERE, ORDER BY, LIMIT, DISTINCT, and proper handling of NULL values using IS NULL, IS NOT NULL, and COALESCE.

Aggregate data using GROUP BY, HAVING, and aggregate functions (COUNT, SUM, AVG, MIN, MAX), including grouping by date components for time-series analysis.

Combine data from multiple tables using all five JOIN types (INNER, LEFT, RIGHT, FULL OUTER, SELF JOIN) and understand when each is appropriate.

Write subqueries and CTEs (WITH ... AS) to break down complex business questions into readable, maintainable SQL queries.

Build a complete data mart — a monthly_sales_dashboard view that combines all course concepts into a portfolio-ready analytics artifact.

Translate SQL across dialects — recognize syntactic differences between SQLite, PostgreSQL, MySQL, MS SQL Server, and Oracle, and switch between them.
Requirements

No prior SQL experience required — we start from absolute zero.

No programming experience required — SQL is declarative, not procedural.

A modern web browser (Chrome, Firefox, Safari, Edge) — all practice happens in Udemy's built-in coding environment, no installations needed.

Basic computer literacy — file management, copy/paste, web navigation.

English reading comprehension at intermediate level — videos use clear, slow English.

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