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.
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Basics
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Create resources
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View, add and delete data stored in database tables
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Filter, sort, summarize and aggregate data from tables
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Intermediate
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Use built in SQL Functions to transform and format data
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Combine data from different tables
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Return dynamic results with case statements and type casting
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Advanced
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Create indexes and understand how they work
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Use window functions to access data from other rows in the dataset
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Store query logic inside of stored procedures and access then with dynamic filters
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Improve query performance with temporary tables and nested queries
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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
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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
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