SQL Development with MS SQL Server Beginner to Master 2024

SQL Development with MS SQL Server Beginner to Master 2024, available at $94.99, has an average rating of 4.38, with 91 lectures, 3 quizzes, based on 172 reviews, and has 4810 subscribers.

You will learn about Understand and write SQL queries to interact with databases Summarize and analyze data with powerful SQL query techniques Build stored procedures to create and dynamically access production-level datasets Understand how SQL Indexes work and what they do to improve query performance Understand how SQL Aggregate functions and Window Functions work This course is ideal for individuals who are Anyone who want to learn about SQL (Structured Query Language) or Anyone interested in building datasets for Data Analysis, Reporting, or DataWarehouse management or Anyone Interested in persistent data storage for application development It is particularly useful for Anyone who want to learn about SQL (Structured Query Language) or Anyone interested in building datasets for Data Analysis, Reporting, or DataWarehouse management or Anyone Interested in persistent data storage for application development.

Enroll now: SQL Development with MS SQL Server Beginner to Master 2024

Summary

Title: SQL Development with MS SQL Server Beginner to Master 2024

Price: $94.99

Average Rating: 4.38

Number of Lectures: 91

Number of Quizzes: 3

Number of Published Lectures: 91

Number of Published Quizzes: 3

Number of Curriculum Items: 94

Number of Published Curriculum Objects: 94

Original Price: $74.99

Quality Status: approved

Status: Live

What You Will Learn

Understand and write SQL queries to interact with databases

Summarize and analyze data with powerful SQL query techniques

Build stored procedures to create and dynamically access production-level datasets

Understand how SQL Indexes work and what they do to improve query performance

Understand how SQL Aggregate functions and Window Functions work

Who Should Attend

Anyone who want to learn about SQL (Structured Query Language)

Anyone interested in building datasets for Data Analysis, Reporting, or DataWarehouse management

Anyone Interested in persistent data storage for application development

Target Audiences

Anyone who want to learn about SQL (Structured Query Language)

Anyone interested in building datasets for Data Analysis, Reporting, or DataWarehouse management

Anyone Interested in persistent data storage for application development

Learn how to understand and effectively write SQL Queries to interact with databases and build powerful datasets.

All resources are available to all operating systems – follow along from Windows, Linux or MacOS.(Instructions for installing MS SQL Server included for Linux and MacOS**)

“The instructor’s approach to teaching is so awesome. Very understandable and easy to follow along.” – David

“I love how energetic the instructor is, and his instructions so far are easy to follow.” – Ali

“A fantastic course covering all the basics and diving deep into some advanced scenarios regarding SQL use!” – Ikenna

Learning Path:

There are 3 different levels you will go through in your journey to becoming a SQL Query Writing Expert.

The learning objectives below outline what you will learn and be able to do and understand at the end of each section.

1. Basics

   1. Create resources

   2. View, add and delete data stored in database tables

   3. Filter, sort, summarize and aggregate data from tables

2. Intermediate

   1. Use built in SQL Functions to transform and format data

   2. Combine data from different tables

   3. Return dynamic results with case statements and type casting

3. Advanced

   1. Create indexes and understand how they work

   2. Use window functions to access data from other rows in the dataset

   3. Store query logic inside of stored procedures and access then with dynamic filters

   4. Improve query performance with temporary tables and nested queries

If you are new to programming, or just new to SQL you will get a floor up explanation of everything you need to know to write clean and powerful SQL Queries and Datasets for Applications, Reporting, or Data Analysis.

If you already know some SQL, you will get explanations of how things work that will lead to a strong understanding of complex topics, and a great reference for anything that is new to you!

By the end of the course your SQL toolbox will be full of great tools to transform, manage, and read data using Structured Query Language.

“I liked this course, it is perfect at 1.25 speed and the examples make the concepts more clear.” – Steinar

“I like the simple explanation. Thanks for explaining it easy” – Timotius

“This was a really good introduction to sql also covering some advanced topics.” – Konsta

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Install List

Lecture 3: Install

Lecture 4: MacOS/Linux SQL Server Install – Notes

Lecture 5: Hotkeys and Macros

Lecture 6: MacOS/Linux SQL Server Install

Lecture 7: How To Learn More Easily

Chapter 2: SQL Basics Part 1

Lecture 1: Basics Part 1 Theory

Lecture 2: Windows Connect to the Database

Lecture 3: CREATE DATABASE

Lecture 4: CREATE SCHEMA

Lecture 5: Scalar Variables notes

Lecture 6: Scalar Variables

Lecture 7: CREATE TABLE

Lecture 8: DEFAULT & NULL

Lecture 9: INSERT

Lecture 10: SELECT

Lecture 11: UPDATE

Lecture 12: ALTER TABLE

Lecture 13: Custom Types

Chapter 3: SQL Basics Part 2

Lecture 1: Basics Part 2 Theory

Lecture 2: Restore Commands

Lecture 3: Windows File Location

Lecture 4: Windows Restore

Lecture 5: Mac File Location

Lecture 6: Mac Restore

Lecture 7: TOP

Lecture 8: WHERE

Lecture 9: DELETE

Lecture 10: UPDATE

Lecture 11: INTO

Lecture 12: TRUNCATE

Chapter 4: SQL Basics Part 3

Lecture 1: Basics Part 3 Theory

Lecture 2: ORDER BY

Lecture 3: DISTINCT

Lecture 4: GROUP BY

Lecture 5: AS (Aliases)

Lecture 6: HAVING

Chapter 5: SQL Intermediate Part 1

Lecture 1: Intermediate Part 1 Theory

Lecture 2: ISNULL & COALESCE

Lecture 3: NULLIF

Lecture 4: CAST

Lecture 5: Convert Code

Lecture 6: CONVERT

Lecture 7: GETDATE

Lecture 8: DATEADD

Lecture 9: DATEDIFF

Lecture 10: CASE

Lecture 11: STRING_AGG

Lecture 12: FOR XML PATH & STUFF

Chapter 6: SQL Intermediate Part 2

Lecture 1: Intermediate Part 2 Theory

Lecture 2: INNER JOIN

Lecture 3: LEFT JOIN

Lecture 4: CROSS APPLY

Lecture 5: RIGHT JOIN

Lecture 6: FULL JOIN

Lecture 7: OUTER APPLY

Lecture 8: UNION

Lecture 9: EXCEPT

Chapter 7: Indexes

Lecture 1: Indexes Theory

Lecture 2: Go To Definition

Lecture 3: CLUSTERED INDEX

Lecture 4: NONCLUSTERED INDEX

Lecture 5: UNIQUE

Lecture 6: PRIMARY KEY

Lecture 7: COMPOSITE KEY

Chapter 8: Window Functions

Lecture 1: Window Function Theory

Lecture 2: ROW_NUMBER

Lecture 3: RANK

Lecture 4: DENSE_RANK

Lecture 5: NTILE

Lecture 6: LAG

Lecture 7: LEAD

Lecture 8: FIRST_VALUE

Lecture 9: LAST_VALUE

Chapter 9: SQL Advanced

Lecture 1: Advanced Theory

Lecture 2: Stored Procedures – CREATE

Lecture 3: Stored Procedures – Parameters Part 1

Lecture 4: Stored Procedures – Parameters Part 2

Lecture 5: OFFSET

Lecture 6: Nested Queries

Lecture 7: Temporary Tables – Creation

Lecture 8: Temporary Tables – Management

Lecture 9: IF & ELSE

Lecture 10: TRANSACTION

Chapter 10: Congratulations!

Lecture 1: Congratulations!

Chapter 11: Views

Instructors

Dominic Tripodi
Full Stack Developer

Rating Distribution

1 stars: 0 votes

2 stars: 2 votes

3 stars: 12 votes

4 stars: 59 votes

5 stars: 100 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!