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Learn MySQL from scratch for Data Science and Analytics 

  • Offered byUDEMY

Learn MySQL from scratch for Data Science and Analytics
 at 
UDEMY 
Overview

Using MySQL Server RDBMS with Workbench to Become a SQL Expert on Queries for your Business Logic on real world problems

Duration

6 hours

Total fee

649

Mode of learning

Online

Credential

Certificate

Learn MySQL from scratch for Data Science and Analytics
Table of content
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  • Overview
  • Highlights
  • Course Details
  • Curriculum
  • Faculty

Learn MySQL from scratch for Data Science and Analytics
 at 
UDEMY 
Highlights

  • Earn a Certificate of completion from Udemy
  • Get full lifetime access of the course material
  • Comes with 30 days money back guarantee
Details Icon

Learn MySQL from scratch for Data Science and Analytics
 at 
UDEMY 
Course details

Who should do this course?
  • For Beginner SQL, Data Science and Analytics - developers curious about SQL Career
  • For Anyone who wants to generate new income streams
  • For Anyone who works with data analytics, or databases!
  • For Anyone who wants to become Business intelligence developer
  • For Anyone who wants to start their own business or become freelance
  • For Anyone who wants to become a Data Science developer
  • For Someone who wants to learn skills that give them the potential to earn near SIX figures!
What are the course deliverables?
  • Use SQL to query a data for business reports
  • Get a job as a junior Data Analytics developer
  • Advanced SQL statements for complex queries
  • Use Workbench to prepare Database schema structure
  • Be comfortable putting SQL and MySQL on their resume
  • Learn to perform GROUP BY statements for Business Intelligence reports
  • Replicate real-world situations and query reports
  • Complete basic SELECT statements querying against a single table
  • Filter data using the WHERE clause to identify required data
  • Apply SQL for Data Science and Data Engineering
More about this course
  • Learn how to use MySQL for Data Science quickly and effectively with this course
  • This Masterclass on SQL course is without a doubt the most comprehensive SQL database course available online
  • You'll learn how to read and write complex queries to a database using one of the most in-demand skills - MySQL Server
  • This course is designed to provide you with a solid foundation in applying SQL skills to analyze data and solve real business problems
  • In this course, you'll learn quickly and receive challenges and tests along the way to improve your understanding

Learn MySQL from scratch for Data Science and Analytics
 at 
UDEMY 
Curriculum

Introduction

Introduction

How to get course requirements

Getting started on Windows, Linux or Mac

How to ask great questions

FAQ?s

What is Source code

SQL Server setting up

Section Introduction

MySQL Server Installation

Connect MySQL Server Instance

MySQL Workbench overview

Download and Restore Sample Database

SQL Database basics

Section Introduction

Overview of Databases

Creating Database

SQL Data Types

Column Data Types on Workbench

Creating Table

Overview of Primary and Foreign Key

Primary Key

Foreign Key

Creating Temporary tables

EER ? Enhanced Entity Relationship Diagrams

SQL DML(Data Manipulation Language)

Section Introduction

Insert statement

Update statement

Delete statement

SQL DDL(Data Definition Language)

Section Introduction

CREATE table statement

DROP statement

ALTER statement

TRUNCATE statement

COMMENT in query

RENAME table

SQL DCL(Data Control Language)

Create Database user

GRANT permissions

REVOKE permissions

Faculty Icon

Learn MySQL from scratch for Data Science and Analytics
 at 
UDEMY 
Faculty details

Metla Sudha Sekhar
Mr. Sudha Sekhar, He is a Teacher and an IT Specialist, and also passionate to teach every single real-time step that leads students as well as professionals to become successful and the vision to impart Good Quality Software Education to all I.T to aspirants make a strong bridge the gap between the software companies requirements and the beginners.

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