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Free Certificate

Introduction to Database Design with MySQL

Learn how to structure, create, and manage databases using MySQL Workbench. This database design with MySQL free course covers ER models, normalization, SQL queries, and relational schema concepts.

8 hours of learning

Database Design

Data Analysis

Data Warehousing

For enquiries call:
18002102020
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Key Highlights Of This Database Design With MySQL Course

What You Will Learn

Database Design

Using Python or Excel for data analysis can risk inconsistencies with multiple files. Databases and Database Management Systems (DBMS) offer efficient data access and analysis. Learn more about DBMS in this session.

Topics Covered

  • Data Warehouse
    A data warehouse is a centralized repository designed for large-scale data storage and complex querying. It integrates data from multiple sources, enabling structured reporting and business intelligence. This topic explores how warehouses support historical analysis, pattern recognition, and enterprise-level decision-making through consolidated, structured datasets.
  • Star Schema
    The star schema is a commonly used data warehouse architecture that simplifies complex queries. It organizes data into fact and dimension tables, optimizing performance for analytical processing. This section covers the schema’s structure, advantages in query speed, and its role in simplifying business reporting.
  • OLAP (Online Analytical Processing)
    OLAP systems support multidimensional analysis of data, commonly through “data cubes” that enable slicing, dicing, and drilling of metrics. Learn how OLAP enhances strategic decision-making by enabling fast aggregation, trend analysis, and performance comparisons across various business dimensions.
  • OLTP (Online Transaction Processing)
    OLTP systems are designed to handle high-volume, real-time transactional workloads, such as banking, retail, or reservation systems. This section discusses their architecture, consistency models, and how they support day-to-day business operations through fast insert, update, and delete functionalities.
  • SETL (Source, Extract, Transform, Load)
    SETL refers to the process of sourcing data from different platforms, transforming it for analysis, and loading it into a central repository like a data warehouse. Learn how this pipeline ensures data quality, consistency, and reliability across systems, setting the stage for effective analytics.
  • Constraints
    Constraints are rules applied to database tables to ensure data integrity, consistency, and validity. This section details types such as primary keys, foreign keys, not null, unique, and check constraints—highlighting how they safeguard database structure and prevent invalid or duplicate entries.
  • ERD (Entity Relationship Diagram)
    An ERD visually represents the structure of a database by mapping entities, relationships, and attributes. Learn to design ERDs that capture business logic clearly, helping translate real-world scenarios into well-structured database models that form the foundation of robust DBMS implementations.

Database Creation in MySQL Workbench

This session explores how hospitals use databases to manage patient info and make real-time decisions. Learn data retrieval with SQL in RDBMS, focusing on MySQL and MySQL Workbench.

Topics Covered

  • DDL Statements
    Data Definition Language (DDL) statements are used to define and manage database structures. Commands such as CREATE, ALTER, and DROP allow you to build and modify tables, schemas, and indexes. This topic explains how DDL helps lay the foundation of a relational database before any data is inserted.
  • DML Statements
    Data Manipulation Language (DML) statements enable users to insert, update, delete, and retrieve data from tables. Using commands like INSERT, UPDATE, DELETE, and SELECT, learners will gain hands-on experience in modifying datasets and conducting queries that return meaningful insights from relational data.
  • Modifying Columns
    This section covers how to alter existing table columns in a safe and efficient manner. You’ll learn how to rename columns, change data types, add constraints, or modify defaults—all while ensuring data integrity is maintained. This is crucial for evolving database schemas in dynamic business environments.

Querying in MySQL

It's time to master SQL's core, focusing on query statements essential for data extraction, analysis, and informed business decisions. Develop the analytical skills needed to navigate and utilize SQL effectively.

Topics Covered

  • SQL Query Basics: SELECT, FROM
    Understand how to retrieve data from one or more tables using the SELECT and FROM clauses. This section introduces the building blocks of SQL querying—where you learn to specify the columns and tables you want to pull data from, forming the basis for every query.
  • Understand WHERE, GROUP BY, HAVING
    Learn how to apply filters (WHERE), group data based on common fields (GROUP BY), and apply conditions to grouped records (HAVING). These commands are essential for narrowing down data sets and generating aggregated results like totals, averages, and conditional counts.
  • Master ORDER BY and LIMIT Statements
    Discover how to organize query results using ORDER BY, whether ascending or descending, and how to control data volume with LIMIT. These commands improve query efficiency and usability, especially when analyzing large datasets or creating paginated outputs for reports.
  • Use of Operators in Queries
    Explore how logical (AND, OR, NOT) and comparison operators (=, >, <, BETWEEN, etc.) refine query results. This section helps learners structure precise conditions that drive accurate outputs and help answer specific business queries.
  • Functions for Complex Data Needs
    Dive into built-in SQL functions like COUNT(), SUM(), AVG(), MIN(), MAX(), and text/date functions. These tools allow for powerful data aggregation, transformation, and formatting, giving analysts deeper insights into patterns and anomalies within structured data.

Joins and Set Operations

Dive into SQL: Use joins to query multiple tables simultaneously and master set operations to seamlessly merge results with 'union'. Unlock powerful data handling in one session!

Topics Covered

  • Union
    The UNION operator allows you to merge results from two or more SELECT queries into a single dataset, eliminating duplicates by default. It’s useful for consolidating data from similar tables or sources while ensuring consistency and readability in reporting and dashboards.
  • Intersect
    INTERSECT returns only the rows that appear in both result sets of two queries. This operation is especially valuable when identifying commonalities between datasets—such as customers in multiple programs or products listed across different regions.
  • Minus
    The MINUS operator (or EXCEPT in some systems) identifies records in the first query that do not appear in the second. This is essential for comparative analysis—helping uncover gaps, mismatches, or exclusions in datasets when assessing change or filtering out noise.
  • Inner Join
    INNER JOIN returns only those records that have matching values in both joined tables. It’s one of the most commonly used joins and is ideal for focusing strictly on intersecting data points—such as matched transactions, shared attributes, or linked entities.
  • Left Join
    A LEFT JOIN retrieves all records from the left table and only matching records from the right table. This is helpful when you want to preserve all entries from one dataset while bringing in related data wherever available from another table.
  • Right Join
    RIGHT JOIN is the inverse of a LEFT JOIN. It pulls all records from the right table and matched records from the left. This join is useful when the primary reference table is on the right side, and the left-side data is supplementary or optional.

What Are The Benefits of This Course?

Designed for aspiring tech professionals, this course equips you with essential database design skills using MySQL. With real-world applications, hands-on practice, and complete learning flexibility.

Completely Free - Gain foundational knowledge in database design with MySQL without any financial investment.

Learn at Your Own Pace - Flexible, self-paced structure allows you to balance learning with your schedule.

Get Certified - Receive a certificate of completion to strengthen your resume and showcase your skills.

Lifetime Access - Revisit lessons and refresh your knowledge anytime, with unrestricted access to course material.

Beginner-Friendly & Industry-Relevant - Designed for newcomers, this course introduces practical concepts that align with real-world database applications.

Hands-on Learning with MySQL Workbench - Practice directly in MySQL Workbench to reinforce concepts through real-world tools and scenarios.

Foundation for Data-Focused Roles - Build skills that are essential for careers in data analytics, software development, and database administration.

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