Become a Data Analyst: Master SQL from Beginner to Expert

What you will learn:

Relational Database Management Systems (RDBMS)
MySQL
PostgreSQL
SQL Server
SQLite
SQL Queries
SELECT Statements
INSERT, UPDATE, DELETE Statements
Data Types
ORDER BY Clause
LIMIT and FETCH FIRST Clauses
LIKE Operator
Aggregate Functions
GROUP BY and HAVING Clauses
Joins (INNER, LEFT, RIGHT, FULL OUTER)
Subqueries
Window Functions
Database Schema Design
Normalization (1NF, 2NF, 3NF)
Primary and Foreign Keys
Database Constraints
Indexing
Stored Procedures
Views
Triggers
Data Visualization
Python Integration
Tableau and Power BI Integration
Data Analysis Techniques

Description

Ready to transform your career with the power of data? This intensive SQL course empowers you to transition into a high-demand data analyst role. Whether you're starting from scratch or aiming to enhance existing skills, our structured curriculum guides you from foundational concepts to advanced techniques.

We cover all the essential elements of SQL, from database fundamentals and querying techniques to mastering complex concepts like joins, subqueries, and window functions. Learn to work with popular databases like MySQL and PostgreSQL, analyze data to answer key business questions, and design effective data visualizations.

Dive into a curriculum that includes:

Understanding relational databases and their structure.
Mastering core SQL commands: SELECT, INSERT, UPDATE, DELETE.
Proficiently handling data manipulation using WHERE, GROUP BY, HAVING, and ORDER BY clauses.
Unlocking advanced querying with joins (INNER, LEFT, RIGHT, FULL OUTER), subqueries, and window functions.
Designing efficient database schemas using normalization principles.
Optimizing database performance through indexing and constraint management.
Exploring advanced topics such as stored procedures, views, and triggers.
Connecting SQL with Python for data automation and seamless integration with popular visualization tools like Tableau and Power BI.

This course provides practical, hands-on exercises and real-world examples to solidify your skills. By the end of this training, you'll possess the confidence and expertise to excel in data analysis roles.

Enroll now and embark on your journey to a fulfilling data analytics career!

Curriculum

Introduction to SQL and Databases

This section lays the groundwork for your SQL journey. You'll begin by understanding the importance of SQL and its role in data management. We then explore Relational Database Management Systems (RDBMS), covering popular options like MySQL, PostgreSQL, SQL Server, and SQLite. Finally, we'll guide you through installing necessary tools and setting up your development environment to ensure you're ready to start writing queries.

SQL Basics

Here, you'll delve into the fundamental building blocks of SQL. We'll cover database structure (tables, rows, columns), and you'll write your first SQL query. This section provides comprehensive instruction on essential SQL commands such as SELECT, INSERT, UPDATE, and DELETE, followed by an exploration of different data types in SQL.

Querying Data

Master data manipulation techniques with this section. Learn to efficiently sort data using ORDER BY, limit results using LIMIT (MySQL) and FETCH FIRST (PostgreSQL), and employ pattern matching with LIKE and wildcards for precise data extraction.

Advanced Query Techniques

Enhance your SQL skills with advanced querying methods. We cover aggregate functions (COUNT, SUM, AVG, MIN, MAX), grouping data with GROUP BY and HAVING clauses, and different types of joins (INNER, LEFT, RIGHT, FULL OUTER) to effectively integrate data from multiple tables.

Database Design and Normalization

This section teaches you how to design efficient and well-structured relational databases. Learn about database schema design, primary keys, foreign keys, and relationships. We'll then explore normalization principles (1NF, 2NF, 3NF) to ensure data integrity and efficiency.

Managing Databases and Tables

Gain expertise in managing your databases and tables effectively. Learn how to create, modify, and delete databases and tables, along with how to implement constraints (NOT NULL, UNIQUE, CHECK) and indexing to boost performance.

Advanced SQL Concepts

Explore more advanced SQL features to further refine your skills. This section introduces views (creating and managing virtual tables), stored procedures and functions, and triggers and events for enhanced database functionality.

Working with Multiple RDBMS

Become proficient in working with different relational database systems. This section highlights the differences between MySQL, PostgreSQL, SQL Server, and SQLite. Finally, you will learn how to connect SQL with Python for automation and its use with data visualization tools like Tableau and Power BI.

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