MySQL from basic to advance - Level Up Masterclass

MySQL from basic to advance : Level Up Masterclass, available at $19.99, has an average rating of 3.75, with 44 lectures, based on 40 reviews, and has 1311 subscribers.

You will learn about Learn SQL basics from scratch. Understand SELECT clause never like before. Create WHERE clause conditions for complex queries. Group similar data using GROUP BY clause like master. Filter the groups with HAVING clause while jagging. Join the tables in simple manner for big data table which have lakhs of records. Create the Subqueries confidently where you can rule your environment. This course is ideal for individuals who are Academic Students or Job Seekers or Database Developers. or Certification. It is particularly useful for Academic Students or Job Seekers or Database Developers. or Certification.

Enroll now: MySQL from basic to advance : Level Up Masterclass

Summary

Title: MySQL from basic to advance : Level Up Masterclass

Price: $19.99

Average Rating: 3.75

Number of Lectures: 44

Number of Published Lectures: 44

Number of Curriculum Items: 44

Number of Published Curriculum Objects: 44

Original Price: ?7,900

Quality Status: approved

Status: Live

What You Will Learn

Learn SQL basics from scratch.

Understand SELECT clause never like before.

Create WHERE clause conditions for complex queries.

Group similar data using GROUP BY clause like master.

Filter the groups with HAVING clause while jagging.

Join the tables in simple manner for big data table which have lakhs of records.

Create the Subqueries confidently where you can rule your environment.

Who Should Attend

Academic Students

Job Seekers

Database Developers.

Certification.

Target Audiences

Academic Students

Job Seekers

Database Developers.

Certification.

Course Description: This course provides a comprehensive introduction to the language of relational databases: Structured Query Language (SQL). Topics covered include: Entity-Relationship modeling, the Relational Model, the SQL language: data retrieval statements, data manipulation and data definition statements. All interactive reading problems involve the use of “live” SQL. Homework will be done using databases running in MySQL which students install on their machines. Students develop a real-world database project using MySQL during the course.

Prerequisites:This course is designed database developers or students who desire a basic to advance level of proficiency with the Structured Query Language (SQL). Prerequisite: Basic computer literacy including.

Justification:This course will provide a solid preparation in SQL  in the Computer Science and Informatics majors who plan to take database or data science courses. A knowledge of this material is also an important skill for anyone planning to do software engineering and development. It is also a service course for students outside of the CS major who work with or plan to work with relational databases and data science such as students studying social science, business, biological and physical sciences, among others.

Course Objectives:

Learn structured query language (SQL) to an intermediate/advanced level.

Be able to write data retrieval queries and evaluate the result set.

Be able to write SQL statements that edit existing data.

Be able to write SQL statements that create database objects.

Understand the structure and design of relational databases.

Understand the importance and major issues of database security and the maintenance of data integrity.

Course Curriculum

Chapter 1: Clauses in MySQL

Lecture 1: SELECT statement structure and evaluation order.

Lecture 2: SELECT clause Syntax and examples.

Lecture 3: DISTINCT keyword in SELECT clause.

Lecture 4: WHERE clause : Introduction.

Lecture 5: WHERE clause : Operators – AND, OR, NOT.

Chapter 2: Data Manupulation Laungage Commands (DML)

Lecture 1: INSERT command.

Lecture 2: UPDATE command

Lecture 3: DELETE command.

Chapter 3: Data Definition Language Commands (DDL) in MySQL.

Lecture 1: CREATE Table.

Lecture 2: ALTER Table.

Lecture 3: DROP Table.

Chapter 4: Aggregate Functions

Lecture 1: SUM(), AVG(), MIN(), MAX(), COUNT(), COUNT(*)

Chapter 5: ORDER BY, GROUP BY, HAVING, LIMIT clause.

Lecture 1: ORDER BY clause.

Lecture 2: GROUP BY clause.

Lecture 3: HAVING clause.

Lecture 4: LIMIT clause

Chapter 6: Conditions

Lecture 1: LIKE and Wildcards.

Lecture 2: IN operator

Lecture 3: CASE statement

Lecture 4: IS NULL / IS NOT NULL

Chapter 7: Constraints :

Lecture 1: Introduction

Lecture 2: NOT NULL Constraint.

Lecture 3: UNIQUE Constraint.

Lecture 4: CHECK Constraint.

Lecture 5: DEFAULT Constraint.

Lecture 6: PRIMARY KEY Constraint.

Lecture 7: AUTO_INCREMENT Constraint.

Lecture 8: ENUM Constraint.

Chapter 8: Control Flow Functions.

Lecture 1: IF() function.

Lecture 2: IFNULL() Function.

Lecture 3: NULLIF() Function.

Lecture 4: CASE statement.

Chapter 9: Joins : Exclusive

Lecture 1: Joins : Introduction and Cross Join.

Lecture 2: Theta join and Equi Join.

Lecture 3: Natural Join

Lecture 4: Self Join.

Lecture 5: Outer Joins : Left Join, Right Join and Full outer Join.

Chapter 10: Intermediate Queries

Lecture 1: Query 1, 2, 3

Lecture 2: Query 4

Lecture 3: Query 5

Lecture 4: Query 6

Lecture 5: Query 8

Lecture 6: Query 9

Lecture 7: Query 10

Instructors

Atchyut Kumar
Azure Data Engineer and Instructor

Rating Distribution

1 stars: 1 votes

2 stars: 3 votes

3 stars: 6 votes

4 stars: 12 votes

5 stars: 18 votes

Frequently Asked Questions

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