SQL GUIDE & LEARNING ROADMAP

SQL is the most demanding language to know for anyone getting started with data science

This 40+ page e-book will guide you on your journey to mastering SQL and database management - two crucial skills all data scientists should have.

And not just data scientists, data analysts, architects, engineers, and even machine learning engineers should master this in-demand skill.

SQL serves as the cornerstone for managing and analyzing vast amounts of data across various industries. It allows for efficient querying, updating, and management of databases, making it indispensable for extracting actionable insights and supporting data-driven decision-making.

Whether you're in tech, finance, healthcare, or any sector that relies on data, mastering SQL will enable you to interact directly with databases, optimize data workflows, and leverage data effectively to drive business outcomes, making it a must-learn skill in today’s data-centric world.

What's included

1. Introduction to Relational Databases
   • Understanding the Purpose and Components of Relational Databases
   • Overview of Database Management Systems (DBMS)
2. SQL Basics
   • Introduction to SQL: Definition and Importance
   • Data Definition Language (DDL) and Data Manipulation Language (DML)
   • Simple SQL Queries for Beginners
3. Intermediate SQL
   • Understanding and Applying SQL Joins
   • Using Aggregation Functions and Subqueries for Data Analysis
4. Advanced SQL
   • Exploring Window Functions and Advanced Joins
   • Optimizing Query Performance with Indexes
   • Automating Tasks with Stored Procedures and Triggers
5. Database Design and Normalization
   • The Role of ER Diagrams in Database Design
   • Principles of Database Normalization and Their Application
6. SQL for Data Preparation
   • Techniques for Cleaning and Transforming Data
   • Effective Data Organization for Analysis
7. Data Analysis Using Complex Data Types
   • Working with Date and Time Types in SQL
   • Geographical and Time Series Analysis Techniques
   • Utilizing Arrays and JSON in PostgreSQL
8. Integrating SQL with Data Science Tools
   • Using SQL within Python and R for Enhanced Data Operations
   • Leveraging SQL Queries in BI Tools like Tableau and Power BI
9. Project Ideas for SQL Learning and Application
   • A List of SQL Project Ideas Across Different Skill Levels
   • Data Science-Focused SQL Projects for Advanced Learners
   • Learning resourced

Grab it now and propel yourself to new data heights!