Learn MySQL from scratch for Data Science and Analytics

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

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Last Updated: 2022-08-05 06:08:00 English Course Type: Self Learning

Use SQL to query a data for reports
Get a job as a junior Data Analytics developer
Advanced SQL statements
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
Using JOINS, return data from multiple tables in the same query
Complete Analysis statements that use aggregate functions
Import and Export .CSV, Excel to SQL Database
Performing Secure Backup and Restore Full SQL Database

Learn how to use MySQL for Data Science quickly and effectively with this course!

At this Masterclass on SQL course is without a doubt the most comprehensive SQL database course available online. Even if you have zero SQL experience, this course will take you from beginner to mastery. Here's why:

You'll learn how to read and write complex queries to a database using one of the most in demand skills - MySQL Server. These skills are also applicable to any other major RDBMS database, such as MySQL, PostgreSQL, Amazon Redshift, Oracle, and much more.

Data science is a dynamic and growing career field that demands knowledge and skills-based in SQL to be successful. This course is designed to provide you with a solid foundation in applying SQL skills to analyze data and solve real business problems.

Whether you have successfully completed the other courses in the Learn SQL for Data Science and Data Analytics or are taking just this course, this roadmap is your chance to apply the knowledge and skills you have acquired to practice important SQL querying and solve problems with data. You will participate in your own personal or professional journey to create a portfolio-worthy piece from start to finish. You will choose a own dataset and develop a project proposal. You will explore your data and perform some initial statistics you have learned through this course. You will uncover analytics for qualitative data and consider new metrics that make sense from the patterns that surface in your analysis. You will put all of your work together in the form of a presentation where you will tell the story of your findings.

Learning SQL for Data Science is one of the fastest ways to improve your career prospects as it is one of the most in demand tech skills! In this course you'll learn quickly and receive challenges and tests along the way to improve your understanding!

The course is taught by the lead instructor having 20+ years of professional experience.

We'll take you step-by-step through engaging video tutorials and teach you everything you need to know to succeed as a SQL Data Science developer.

Database Administrator

☞ DBAs must possess in-depth SQL knowledge so they can understand and review SQL and host language programs in order to recommend changes for optimization. Also to do performance management & tuning.

Data Science Aspirants

☞ Learn to handle large volumes of numerical data, bring coherence to the data and make it useful for senior management in their decision making process.

Aspiring Analysts

☞ Candidates will learn to create efficient, robust and flexible Database to report and analyze historical data.

Developers

☞ SQL developers must have in-depth knowledge to query, define, manipulate, control and analyze the data in database.

University Students

☞ MySQL is one of the most in demand skill in any data related job that all recruiters specifically look for, boosting your job prospects by over 40%.

Job Seekers

☞ Build an impressive resume with practical work & projects to back your Database Management Skills & get certified by a SQL Expert.

In this course you will be learn everything you need to become a SQL Data Science Pro! Including:

Get started with MySQL Server, MySQL Workbench these are the world's most popular Open-source SQL tools

Learn the basics of SQL syntax

Analyzing data using aggregate functions with GROUP BY commands

Running advanced queries with string operations and comparison operations

Learn to use logical operators to add logic flow to your SQL queries

MySQL Workbench to Connect MySQL Server Instance

Learn common SQL JOIN statements

Learn to create tables and databases with constraints on data entries

Learn to use Python to further advanced your SQL Data Science skills

Import and Export .CSV or Excel files in to SQL Database

Learn How to take Secure backup & restore database.

Learn to write SELECT statements

Learn to Create SQL scripts applying WHERE clause

Applying Primary and Foreign Keys

Creating Views and Accessing View Data

Writing Stored Procedures for re-use SQL scripts

Dynamic SQL queries and Aggregate Functions

Subqueries to make complex queries

EER Diagram to prepare and view the Schema Design

Creating Different on required Business reports

Learn to Write Statements for Decision Making Queries

Apply Real world Data queries for Data Analytics and Data type

SELECT on Query Calculations for Orders price on SALEs

and much more!

This is course that put's you in control, having you create and restore databases, instead of watching someone else code steps. Every section comes with fresh challenge tasks, modeled after real world tasks and situations.

I've spent years as an instructor both online and in-person at Fortune 500 companies, and this course is built to combine the best of both worlds, allowing you to learn at your own pace through an interactive environment. You will start with the basics and soon find yourself working with advanced commands, dealing with timestamp data and variable character information like a seasoned professional.

SQL is one of the most in demand skills for business analysts, data scientists, and anyone who finds themselves working with data! Upgrade your skill set quickly and add SQL to your resume by joining today!

Check out the free preview videos for more information!

By the end of this course, you will be fluently programming and be ready to make any application you can dream of.

Sign up today, and look forward to:
HD Video Lectures
SQL Query Challenges and SQL Query Exercises
Beautiful Real-World dynamic Projects

No prior technical experience is required! All you need a computer!
No SQL experience needed. You will learn everything you need to know
No software is required in advance of the course (all software used in the course is free)

Beginner SQL, Data Science and Analytics - developers curious about SQL Career
Anyone who wants to generate new income streams
Anyone who works with data analytics, or databases!
Anyone who wants to become Business intelligence developer
Anyone who wants to start their own business or become freelance
Anyone who wants to become a Data Science developer
If you work in: marketing, finance, accounting, operations, sales, manufacturing, healthcare, financial services, or any other industry/function that collects information
Someone who wants to learn skills that give them the potential to earn near SIX figures!

Section 1 : Getting Started 5 Lectures 00:07:02
Lecture 1 :
Introduction Preview
Lecture 2 :
How to get course requirements
Lecture 3 :
Getting started on Windows, Linux or Mac
Lecture 4 :
How to ask great questions
Lecture 5 :
FAQ’s
Section 2 : SQL Server setting up 5 Lectures 00:39:04
Lecture 1 :
Section Introduction
Lecture 2 :
MySQL Server Installation
Lecture 3 :
Connect MySQL Server Instance
Lecture 4 :
MySQL Workbench overview
Lecture 5 :
Download and Restore Sample Database
Section 3 : SQL Database basics 11 Lectures 00:53:52
Lecture 1 :
Section Introduction
Lecture 2 :
Overview of Databases
Lecture 3 :
Creating Database
Lecture 4 :
SQL Data Types
Lecture 5 :
Column Data Types on Workbench
Lecture 6 :
Creating Table
Lecture 7 :
Overview of Primary and Foreign Key
Lecture 8 :
Primary Key
Lecture 9 :
Foreign Key
Lecture 10 :
Creating Temporary tables
Lecture 11 :
EER – Enhanced Entity Relationship Diagrams
Section 4 : SQL DML (Data Manipulation Language) 4 Lectures 00:17:44
Lecture 1 :
Section Introduction
Lecture 2 :
Insert statement
Lecture 3 :
Update statement
Lecture 4 :
Delete statement
Section 5 : SQL DDL (Data Definition Language) 7 Lectures 00:25:33
Lecture 1 :
Section Introduction
Lecture 2 :
DROP statement
Lecture 3 :
TRUNCATE statement
Lecture 4 :
ALTER statement
Lecture 5 :
COMMENT in query
Lecture 6 :
RENAME table
Lecture 7 :
CREATE table statement
Section 6 : SQL DCL (Data Control Language) 3 Lectures 00:12:08
Lecture 1 :
Create Database user
Lecture 2 :
GRANT permissions
Lecture 3 :
REVOKE permissions
Section 7 : SQL Statement Basic 7 Lectures 00:18:46
Lecture 1 :
Section Introduction
Lecture 2 :
SQL Statement basic
Lecture 3 :
SELECT Statement
Lecture 4 :
SELECT DISTINCT
Lecture 5 :
SELECT with column headings
Lecture 6 :
Column AS statement
Lecture 7 :
DASHBOARD Analytics
Section 8 : Filtering Data rows 2 Lectures 00:09:19
Lecture 1 :
SELECT WHERE Clause – theory
Lecture 2 :
SELECT WHERE Clause – practical
Section 9 : Aggregate functions for Data Analysis 2 Lectures 00:09:00
Lecture 1 :
Sum()
Lecture 2 :
Min()-Max()
Section 10 : SQL Data Analyticstatements 5 Lectures 00:19:43
Lecture 1 :
Order By statement
Lecture 2 :
SELECT TOP 3 records
Lecture 3 :
BETWEEN command
Lecture 4 :
IN operator
Lecture 5 :
Search Data using LIKE cards
Section 11 : SQL Group by statement 4 Lectures 00:11:17
Lecture 1 :
Section Introduction
Lecture 2 :
Group by – theory
Lecture 3 :
Data Analytics with Group By
Lecture 4 :
HAVING statement
Section 12 : Joins 9 Lectures 00:23:25
Lecture 1 :
Overview of Joins
Lecture 2 :
What are Joins
Lecture 3 :
Inner join
Lecture 4 :
Left outer join
Lecture 5 :
Right outer join
Lecture 6 :
Union
Lecture 7 :
CERTESIAN Product or Cross Join
Lecture 8 :
Query Exercise
Lecture 9 :
Solution for Query Exercise
Section 13 : SQL Constraints 4 Lectures 00:18:33
Lecture 1 :
Section introduction
Lecture 2 :
Check constraint
Lecture 3 :
NOT NULL constraint
Lecture 4 :
UNIQUE constraint
Section 14 : Views 2 Lectures 00:06:39
Lecture 1 :
Creating Views
Lecture 2 :
Data Analytic Views from multiple tables
Section 15 : Advanced SQL Functions 8 Lectures 00:21:46
Lecture 1 :
Section Introduction
Lecture 2 :
Timestamp
Lecture 3 :
Extract from timestamp
Lecture 4 :
Mathematical scalar functions
Lecture 5 :
String functions
Lecture 6 :
Advanced functions
Lecture 7 :
Sub Queries
Lecture 8 :
SELECT with calculations
Section 16 : SQL Stored Procedure 3 Lectures 00:10:18
Lecture 1 :
Create stored procedure
Lecture 2 :
Stored procedure with parameter
Lecture 3 :
Drop Procedure
Section 17 : Import & Export data 3 Lectures 00:07:28
Lecture 1 :
Section Introduction
Lecture 2 :
Import .csv file
Lecture 3 :
Export Data to .csv file
Section 18 : Backup and Restore Database 3 Lectures 00:05:21
Lecture 1 :
Section Introduction
Lecture 2 :
Creating Database backup
Lecture 3 :
Restoring Database backup

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Can i play & pause the course as per my convenience?
Yes absolutely & thats one of the advantage of self-paced courses. You can anytime pause or resume the course & come back & forth from one lecture to another lecture, play the videos mulitple times & so on.
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Most of these courses have general questions & answers already covered within the course lectures. However, if you need any further help from the instructor, you can use the inbuilt Chat with Instructor option to send a message to an instructor & they will reply you within 24 hours. You can ask as many questions as you want.
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Sekhar Metla (Microsoft Certified Professional) Sudha,

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I am M. Sudha Sekhar, I am a Teacher and a Web Developer, and I am also passionate to teach every single real-time step that leads students as well as professionals to become successful with their carrier. What we know about web development and technologies: * Front-End web development: HTML, CSS, Bootstrap, JavaScript, Ajax and more... * Code-End web development: Asp.Net, C#, Python and PHP and more... * Back-End development: MS SQL, MySQL, PostgreSQL, MongoDB, MariaDB and more... * Operating Systems / Servers: RHEL - LINUX, Ubuntu, CentOS, Windows and more... Start solving your challenge now | Enroll today and learn real-time practical courses. I am passionate about: * Teaching students the correct way. * Making things simple and easy to understand. * Offering the best audio and video qualities to my courses. * Real-time Examples who will understand real-time skills easily. * Most of the Lectures will be practical way demonstrations using real-world solutions