SQL Beginner to Advanced Level – Data Analytics
SQL Beginner to Advanced Level – Data Analytics, available at $79.99, has an average rating of 4.31, with 137 lectures, based on 313 reviews, and has 988 subscribers.
You will learn about Learn how to code in SQL from the beginning to advance level – Write, Read and Analyze with SQL. Learn to work with databases in SQL Server. Query SQL within a Server. This course is ideal for individuals who are Anyone who wants to learn SQL from Beginner level to becoming proficient in SQL It is particularly useful for Anyone who wants to learn SQL from Beginner level to becoming proficient in SQL.
Enroll now: SQL Beginner to Advanced Level – Data Analytics
Summary
Title: SQL Beginner to Advanced Level – Data Analytics
Price: $79.99
Average Rating: 4.31
Number of Lectures: 137
Number of Published Lectures: 137
Number of Curriculum Items: 137
Number of Published Curriculum Objects: 137
Original Price: $22.99
Quality Status: approved
Status: Live
What You Will Learn
- Learn how to code in SQL from the beginning to advance level – Write, Read and Analyze with SQL.
- Learn to work with databases in SQL Server.
- Query SQL within a Server.
Who Should Attend
- Anyone who wants to learn SQL from Beginner level to becoming proficient in SQL
Target Audiences
- Anyone who wants to learn SQL from Beginner level to becoming proficient in SQL
Learn SQL from the beginning to becoming an expert analyzing data in SQL. This course takes you from having little or no knowledge of SQL to becoming highly proficient querying with SQL.
Knowing SQL is highly important if you intend working with data and the demand for SQL skills is ever growing.
You will learn SQL in a server environment which is most likely how you would use SQL in the real world. This course is designed to cut through the chase and teach you what you need to become successful.
This course is hands on with lots of practice tasks which allows you get comfortable and familiar with querying in SQL.
My goal is to make your learning efficient, smooth and equip you with the skill set you need to start or transition into any data related field.
Course Requirement or Prerequisites
This course does not require any prior knowledge or specific academic background. The only requirement is having a laptop or desktop computer. All applications necessary for learning the course would be downloaded free from the internet.
Who is this course for?
Anyone looking to work with data personally or professionally.
Starting or transitioning into a career as Data Scientist, Data Analyst, Business Analyst, Database Administrator, Report Analyst, ETL Specialist, BI Consultant, Data Engineer or any Data related field.
Course Curriculum
Chapter 1: Introduction
Lecture 1: SQL Course Introduction
Lecture 2: Instructor Introduction
Lecture 3: Course Requirement & Prerequisite
Lecture 4: Course Curriculum
Lecture 5: Course Structure
Lecture 6: Udemy Review System
Lecture 7: Application Downloads & Installation
Lecture 8: Windows Applications Download & Installation
Lecture 9: Mac book Applications Download & Installation
Lecture 10: Microsoft SQL Server Environment Review
Chapter 2: Data, Databases & Database Management system
Lecture 1: Section Introduction
Lecture 2: What is Data?
Lecture 3: What are Databases?
Lecture 4: Introduction to Database Management System (DBMS)
Lecture 5: Relational Database Management System (RDBMS)
Lecture 6: How to Create a database
Lecture 7: Saving Queries in SQL Server
Lecture 8: Selecting a Database
Lecture 9: Delete a Database
Chapter 3: Introduction to SQL (Structured Query Language)
Lecture 1: Section Introduction
Lecture 2: What is SQL ?
Lecture 3: SQL Dialect
Lecture 4: SQL Naming Convention
Chapter 4: Data Types in SQL
Lecture 1: Section Introduction
Lecture 2: SQL Data Types
Lecture 3: Numeric Data Type
Lecture 4: String Data Type
Lecture 5: Importance of Data Types
Chapter 5: Tables in SQL
Lecture 1: Section Introduction
Lecture 2: Introduction to Tables
Lecture 3: Create Tables
Lecture 4: Insert Data into Tables
Lecture 5: Retrieve Data from Tables
Lecture 6: Delete a Table
Chapter 6: Data Definition Language (DDL)
Lecture 1: Section Introduction
Lecture 2: CREATE, DROP, ALTER
Lecture 3: Adding comments to query
Lecture 4: Null & Not Null – SQL Constraint
Lecture 5: Add a Default Constraint
Lecture 6: Add a Unique Constraint
Lecture 7: Primary Key Constraint
Lecture 8: Using IDENTITY in SQL
Chapter 7: Data Query Language (DQL)
Lecture 1: Section Introduction
Lecture 2: SELECT statement
Lecture 3: WHERE clause
Chapter 8: Data Manipulation Language (DML)
Lecture 1: Section Introduction
Lecture 2: UPDATE command
Lecture 3: DELETE command
Lecture 4: Adding Aliases
Lecture 5: Decimal Data Type – Numeric Data Type
Chapter 9: String Functions
Lecture 1: Section Introduction
Lecture 2: String Functions
Lecture 3: CONCAT Function
Lecture 4: CONCAT_WS Function
Lecture 5: LEFT Function
Lecture 6: RIGHT Function
Lecture 7: LEN Function
Lecture 8: UPPER Function
Lecture 9: LOWER Function
Lecture 10: LTRIM, RTRIM, TRIM Functions
Lecture 11: REVERSE Function
Lecture 12: REPLACE Function
Lecture 13: SUBSTRING Function
Chapter 10: Sorting Records
Lecture 1: Section Introduction
Lecture 2: Insert character value with apostrophe/single quote
Lecture 3: Order By
Lecture 4: DISTINCT Statement
Lecture 5: TOP Clause
Lecture 6: OFFSET & FETCH
Lecture 7: % Percentage Wildcard
Lecture 8: Underscore Wildcard
Chapter 11: Aggregate Functions
Lecture 1: Section Introduction
Lecture 2: COUNT Function
Lecture 3: GROUP BY
Lecture 4: AVERAGE Function
Lecture 5: SUM Function
Lecture 6: MAX Function
Lecture 7: MIN Function
Lecture 8: HAVING Clause
Lecture 9: IN Operator
Lecture 10: Sub Queries
Chapter 12: Date & Time Data Type
Lecture 1: Section Introduction
Lecture 2: Date & Time Data Type
Lecture 3: Extract Part of Date Values
Lecture 4: GETDATE Function
Lecture 5: CURRENT_TIMESTAMP
Lecture 6: DATEPART Function
Lecture 7: DATEDIFF Function
Instructors
-
Alexander Shafe
Information Security Consultant
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 5 votes
- 3 stars: 22 votes
- 4 stars: 117 votes
- 5 stars: 169 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!
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