MySQL for Data Science

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About Course

Hi everyone! Welcome to the ‘MySQL for Data Science’ training.
My name is Arun, and I’ll be your trainer for this course.
In this MySQL program, we will start from the basics—what SQL is, how databases work, why MySQL is used in industries, and how data is stored in tables.

I will take you step-by-step from simple commands like SELECT, INSERT, UPDATE, DELETE, all the way to advanced topics such as Joins, Subqueries, Indexing, and Real-time Data Analysis.

We will also work on a real e-commerce database and learn how to analyze customer behavior, product performance, monthly sales, and generate insights that companies use for business decisions.

This course is ideal for anyone who wants to enter Data Analytics or Data Science. I will explain everything in a simple, practical, and beginner-friendly manner.

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What Will You Learn?

  • Understand relational databases and why SQL is critical for data jobs.
  • Install and connect to MySQL and run basic SQL commands confidently.
  • Create and manage tables, constraints, and schema using DDL.
  • Insert, update, and delete data using DML with transaction safety.
  • Retrieve and filter data with SELECT, WHERE, ORDER BY, and LIMIT.
  • Aggregate and summarize data using GROUP BY, HAVING, and aggregate functions.
  • Combine multiple tables with INNER, LEFT, RIGHT, and FULL joins.
  • Write subqueries, use EXISTS/NOT EXISTS, and create reusable views.
  • Use indexes and EXPLAIN to optimize query performance.
  • Normalize schemas (1NF → 3NF) and know when to denormalize.
  • Use window functions (ROW_NUMBER, RANK) for advanced analytics.
  • Prepare SQL outputs for dashboards and feature engineering in ML workflows.
  • Apply SQL to a real e-commerce case study: monthly sales, LTV, top products.
  • Build a portfolio-ready mini-project and SQL scripts for interviews.

Course Content

MySQL for Data Science
This course offers a structured, step-by-step curriculum designed to build strong MySQL and SQL fundamentals, leading learners toward advanced data manipulation, relational modeling, and analytical querying skills. The curriculum focuses on real-world concepts such as database design, SQL query writing, relational integrity, and business analytics using MySQL. Students will gain hands-on exposure to DDL, DML, DQL commands, constraints, joins, subqueries, views, indexing, and normalization techniques.

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