Complete Masterclass

Master SQL Talk to Databases.

The most requested skill in software, data, and analytics.
Install databases, write clean queries, link tables, and build reports in just 30–45 days.

50+ People already enrolled

Data Science Student
What’s Included

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Course Content

MODULE 1

Week 1

Database Architecture & local Environment Setup

Understand how databases store information and set up your personal practice workspace.

  • Concepts: Relational database management systems (RDBMS), table structures, schemas, and data types.
  • Technical Setup: Installation of MySQL Server and MySQL Workbench environment configuration.
  • Practical Lab: Initializing your local server engine and drafting your first relational database space.
What you will learn: How to open your software, log into your server, and create your very first blank database room.

Table Schema Design (DDL Commands)

Learn the structural commands used to construct or delete data tables.

  • CREATE: Engineering structural blueprints and data rules for fresh database tables.
  • ALTER: Dynamically adapting active table schemas (injecting or editing columns) without data loss.
  • DROP: Implementing definitive structural purges to optimize local server storage.

Row-Level Operations

  • INSERT: Populating structural database layouts with raw data records.
  • UPDATE: Modifying specific cell values dynamically while maintaining row integrity.
  • DELETE: Executing targeted record removals using precise conditional rules.

Data Filtering & Output Optimization (SELECT)

Understanding and utilizing different data structures to efficiently store and manipulate information.

  • SELECT: Custom projection frameworks to scan and view extensive data grids.
  • WHERE Clauses: Isolating business records using strict multi-conditional search logic.
  • WHERE Clauses: ORDER BY & LIMIT: Sorting large datasets numerically/alphabetically and isolating top-tier metrics.

Data Summarization & String Manipulation

Learning how to implement and use database concepts in Python.

  • Aggregate Analytics: Calculating instant metrics via mathematical functions (SUM, AVG, COUNT, MIN/MAX).
  • Data Formatting: Cleaning up messy text fields and processing time-sensitive records using String/Date functions.
  • GROUP BY & HAVING: Compacting granular records into clean business summaries (e.g., "Total Revenue by Region"). Create, Read, Update, Delete.

Relational Intersections & Nested Logic

Learning how to implement and use database concepts in Python.

  • Database JOINS: Linking disconnected data pools (like Customers, Orders, and Payments) via INNER, LEFT, and RIGHT join mappings.
  • Subqueries: Writing nested query blocks where deep database lookups pass data into parent search logic.

Automation Shortcuts & Executive Report

  • Database VIEWS: Scripting virtual shortcuts to recall complex, multi-join query reports with a single command.
  • Stored Procedures: Packaging long multi-step query pipelines into reusable, automated database triggers.
₹3,999

Simple MySQL Installation Guide
Learn Basic Commands (Create, Insert, Update)
Filter Data with Custom Search Rules
2 Beginner Data Report Assignments
Master Complex Joins (Inner, Left, Right)
Learn Advanced Grouping & Subqueries
Build Views & Learn Stored Procedure Basics

Secure End-to-End Encryption Enabled