Mastering SQL for Data Analysis Tutorial 2

Link SQL for Data analyses Tutorial 1 https://youtu.be/yb2zuCVY75w
General SQL Concepts
SELECT, FROM, WHERE, GROUP BY, ORDER BY, HAVING
DISTINCT, TOP, LIMIT, OFFSET
JOIN (INNER, LEFT, RIGHT, FULL), UNION, INTERSECT, EXCEPT
Data Aggregation & Summarization
COUNT(), SUM(), AVG(), MIN(), MAX()
GROUP BY, ROLLUP, CUBE, GROUPING SETS
PIVOT, UNPIVOT
Time-Based Analysis
DATEPART(), YEAR(), MONTH(), DAY(), DATENAME()
DATEDIFF(), DATEADD(), EOMONTH(), GETDATE(), SYSDATETIME()
Advanced SQL Techniques
Window Functions: ROW_NUMBER(), RANK(), DENSE_RANK(), NTILE()
Aggregates over Partitions: SUM() OVER(), AVG() OVER(), LAG(), LEAD()
Common Table Expressions (CTEs): WITH cte AS (...)
Recursive Queries: WITH RecursiveCTE AS (...)
Subqueries & Correlated Subqueries
Performance Optimization
Indexes: CREATE INDEX, CLUSTERED, NONCLUSTERED
Query Execution Plan: EXPLAIN, SHOWPLAN_XML, SHOWPLAN_TEXT
Temporary Tables & Table Variables: #TempTable, @TableVariable
Derived Tables & CTEs for Optimization
Avoiding NULL Issues: COALESCE(), ISNULL(), NULLIF()
Real-World Sales Analysis in AdventureWorks DW
Sales.SalesOrderHeader, Sales.SalesOrderDetail
Product.ProductCategory, Product.ProductSubcategory
DimCustomer, DimDate, FactInternetSales
Profit Margins: (Total Sales - Cost) / Total Sales
YoY Growth Calculation

Видео Mastering SQL for Data Analysis Tutorial 2 канала Smart Data Learners