Learn MySQL from scratch for Data Science and Analytics

Name: Learn MySQL from scratch for Data Science and Analytics
Rating: 4.3 (177 reviews)

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

Created byMetla Sudha Sekhar

Last updated 11/2025

English

English [Auto],

What you'll learn

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 points
Apply SQL for Data Science and Data Engineering
Using JOINS, to prepare multiple table data in a single report
Complete Analysis statements that use aggregate functions
Import and Export .CSV, Excel data sheets to SQL Database tables
Learn to apply Secure Backup and Restore Full SQL Database on your real data
Learn Using Generative AI tools A Hands On practice
Learn how to boost productivity and save time using AI-driven platforms

Coding Exercises

This course includes our updated coding exercises so you can practice your skills as you learn.

Course content

19 sections • 92 lectures • 6h 34m total length

Introduction2:22
How to get course requirements1:23
Set up your MySQL development environment with the free community server edition and MySQL Workbench, connect to MySQL server, and download the sample database from GitHub for data science practice.
Getting started on Windows, Linux or Mac0:48
Choose your preferred operating system: Windows, Linux, or Mac, and start learning MySQL from scratch for data science and analytics. The course supports all three platforms for a seamless setup.
How to ask great questions1:27
FAQ’s1:02
What is Source code8:47
you will learn file extensions and source code notes
Learn What is Generative AI / Gen AI14:06
Generative artificial intelligence is artificial intelligence capable of generating text, images, videos, or other data using generative models, often in response to prompts. best ai tools are chatgpt, tabnine for developers, and more
Best Practices for Learning Online Course5:14
You will learn how to learn online courses in a more productive way.
Learn Using Generative AI tools A Hands On20:55
Apply generative AI tools to learn faster by crafting prompts, generating HTML, CSS, and code examples, and explore basic Java, Python, and SQL workflows for data analytics.

Section Introduction1:09
Learn MySQL server basics, including creating databases and tables, choosing data types with MySQL Workbench, and implementing primary and foreign keys, plus creating temporary tables for real-world scenarios.
Overview of Databases9:15
Learn the fundamentals of MySQL databases and SQL, compare spreadsheets to relational databases, and explore data integrity, multiuser access, and basic queries like select from where.
Creating Database6:34
Create databases and schemas in MySQL using Workbench, name them in lowercase with underscores, apply to the connected server, and explore default objects like tables, views, stored procedures, and functions.
SQL Data Types3:47
Column Data Types on Workbench7:23
Creating Table3:44
Overview of Primary and Foreign Key3:29
Primary Key6:08
Foreign Key11:33
Learn to implement foreign key constraints by linking a student registration table to a course table, using course_id as a foreign key referencing the primary key.
Creating Temporary tables12:23
EER – Enhanced Entity Relationship Diagrams4:21
Create and explore an enhanced entity relationship diagram using MySQL workbench, performing reverse engineering to reveal primary and foreign keys, and establish one-to-one and one-to-many relations.

Section Introduction1:11
CREATE table statement7:51
DROP statement2:58
ALTER statement4:54
Modify an existing table with the alter statement using the MySQL Workbench wizard to add an address column, set its data type and length, and apply changes on staging first.
TRUNCATE statement3:02
COMMENT in query2:22
Explore how comments in a MySQL query document purpose, authorship, and creation date to aid maintenance and quick problem identification.
RENAME table3:15

Requirements

No prior technical experience is required! All you need a computer!
No SQL experience needed. You will learn everything you need to know

Description

The "Learn MySQL from Scratch for Data Science and Analytics" course is your gateway to mastering the art of managing and analyzing data using one of the world’s most popular relational database systems—MySQL. Tailored for beginners and aspiring data professionals, this course provides a solid foundation for harnessing MySQL to unlock insights and drive data-driven decisions.

Learn Using Generative AI tools A Hands On lecture to take you AI experience

update: Learn the top AI tools every professional needs to boost productivity

You’ll start by understanding the basics of MySQL, including database setup, schema design, and creating and managing tables. Through practical, hands-on exercises, you’ll learn to write essential SQL queries such as SELECT, INSERT, UPDATE, and DELETE, enabling you to retrieve and manipulate data effortlessly.

As you progress, the course delves into advanced querying techniques, including JOINs, subqueries, and window functions. You’ll explore how to filter, sort, and aggregate data to derive meaningful insights, which are crucial skills for data science and business analytics. learn to apply practical sessions on joins which will help you how combine multiple tables to generate a required cumulative reports at glance

Special focus is given to working with large datasets and performing complex data analysis. You’ll learn how to handle real-world data challenges, optimize query performance, and design scalable database solutions.

By the end of the course, you’ll not only be proficient in MySQL but also confident in using it as a tool for data analytics, reporting, and integrating with data science workflows.

Embark on this journey to transform raw data into actionable insights with MySQL. Whether you're starting a career in data science or looking to boost your analytics skills, this course is the perfect starting point. Enroll now and start coding with data today!

Who this course is for:

Beginner SQL, Data Science and Analytics - developers curious about SQL Career
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: any industry/function that collects information as data
Someone who wants to learn skills that give them the potential to earn near SIX figures!

Learn MySQL from scratch for Data Science and Analytics

What you'll learn

Explore related topics

Coding Exercises

Course content

Introduction9 lectures • 56min

Future Essential AI Tools for Every Professional1 lecture • 5min

SQL Server setting up5 lectures • 39min

SQL Database basics11 lectures • 1hr 10min

SQL DML (Data Manipulation Language)4 lectures • 18min

SQL DDL (Data Definition Language)7 lectures • 26min

SQL DCL (Data Control Language)3 lectures • 12min

SQL Statement Basic7 lectures • 19min

Filtering Data rows2 lectures • 9min

Aggregate functions for Data Analysis2 lectures • 9min

Requirements

Description

Who this course is for: