TSql Fundamentals And Beyond: Unlock The Power Of Sql

T-Sql Fundamentals And Beyond: Unlock The Power Of Sql
Published 3/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

A Comprehensive Journey from T-SQL Novice to Data Maestro

What you’ll learn

Background to T-SQL and Programming: Build a strong foundation in T-SQL and programming principles.

Single Table Queries: Master querying single tables with precision and efficiency

Joins: Learn to combine and extract insights from multiple data sources

Subqueries: Solve complex data problems using nested queries

Table Expressions: Organize and simplify queries with CTEs, views and derived tables

Set Operators: Manipulate data sets with UNION, INTERSECT, and EXCEPT operators

Beyond Query Fundamentals: Elevate your T-SQL skills with Window functions, PIVOT, and UNPIVOT techniques for advanced data manipulation

Data Modification: Insert, update, and delete data with confidence

Transactions and Concurrency: Ensure data integrity and consistency
Programmable Objects: Automate tasks using stored procedures, functions, and triggers

Python Integration: Integrate Python, extending T-SQL’s capabilities

Machine Learning in T-SQL: Explore machine learning integration for predictive analytics and advanced data-driven insights

Plus, get ready to reinforce your learning with practice exercises at the end of each section.

Requirements

No prior knowledge of computer science or SQL is required. This course is designed for beginners, and you will learn everything from the basics

You will need access to a laptop or computer with an internet connection to access course materials and resources

Operating System: Windows, as SQL Server Management Studio (SSMS) primarily runs on Windows. However, you can also use a virtual machine or container for Windows on non-Windows systems
Processor (CPU): A dual-core processor (or higher) is recommended for smooth performance

RAM: A minimum of 4GB of RAM is necessary. For better performance, 8GB or more is recommended

Storage: At least 20GB of free hard drive space to accommodate SQL Server and related tools

Internet Connection: A stable internet connection is essential for downloading and updating SQL Server tools and accessing online resources

Description

Overview

Section 1: Introduction

Lecture 1 Introduction to the T-SQL and arguments of the course

Lecture 2 Walkthrough of SQL Server installation and configuration

Section 2: Background to T-SQL querying and programming

Lecture 3 Theoretical backgroud

Lecture 4 Relational Model

Lecture 5 Normalization

Lecture 6 Types of Databases

Lecture 7 SQL Server Architecture

Lecture 9 Creating tables and defining data integreity

Section 3: Single-Table Queries

Lecture 10 Elements of the SELECT Statemen & FROM Clause

Lecture 11 WHERE Clause

Lecture 12 GROUP BY and HAVING Clauses

Lecture 13 The SELECT Clause

Lecture 14 The ORDER BY Clause

Lecture 15 TOP & OFFSET-FETCH: Limiting and Paging Your Query Results

Lecture 16 Predicates and Operators Demystified

Lecture 17 Mastering CASE Expressions and Handling NULLs

Section 4: Joins

Lecture 18 Cross Joins

Lecture 19 Inner Joins

Lecture 20 Advanced SQL Joins: Composite, Non-Equi, and Multi-Join Queries

Lecture 21 Outer Joins

Section 5: Subqueries

Lecture 22 Self-Contained Subqueries

Lecture 23 Correlated Subqueries & EXISTS Predicate

Section 6: Table Expressions

Lecture 24 Derived Tables

Lecture 25 Common Table Expressions (CTE)

Lecture 26 Views and Inline Functions

Section 7: Set Operators

Lecture 27 Union, Intersect, and Except

Section 8: Beyond the Fundamentals of Querying

Lecture 28 Window Functions

Lecture 29 Data Pivoting and Unpivoting

Section 9: Data Modification

Lecture 30 Inserting, Deleting, and Updating Data

Section 10: Transactions and Concurrency
Lecture 31 Understanding Transactions
Lecture 32 Locks & Blocking

Lecture 33 Isolation levels

Lecture 34 Deadlocks

Section 11: Programmable Objects

Lecture 36 Dynamic SQL: user-defined functions, stored procedures, and triggers

Lecture 37 Error Handling

Lecture 38 Jobs

Section 12: Integrating Python and Machine Learning in T-SQL

Lecture 39 Introduction to Python Integration

Lecture 40 Machine Learning in SQL Server

Master T-SQL, from fundamentals to advanced techniques, including Window functions, PIVOT, and UNPIVOT,Write efficient, optimized queries for diverse data scenarios,Handle complex data structures, data modifications, and ensure data integrity,Manage temporal data and transactions effectively,Create programmable objects to automate and customize database operations,Integrate Python and machine learning, unlocking new data analysis possibilities,Develop database-driven applications with confidence,Be well-prepared for T-SQL certification exams,Implement your T-SQL skills in professional settings and projects