Course Details
This comprehensive course introduces you to the most widely used SQL fundamentals tools in the industry. Whether you’re a beginner or looking to expand your toolkit, this course provides practical, hands-on experience with essential platforms and technologies.
Tools You’ll Master:
- SQLite – Lightweight, serverless database engine ideal for embedding and prototyping.
- DB Browser for SQLite – Graphical interface to create, edit, and explore SQLite databases easily.
- Jupyter Notebooks – Interactive coding environment to run SQL and Python side by side, ideal for data exploration and storytelling.
- Python (sqlite3 & SQLAlchemy) – Use Python’s built-in sqlite3 module for raw SQL execution and SQLAlchemy for Object Relational Mapping (ORM).
Learn how to use these tools in practical, real-world data analysis scenarios with guided projects and hands-on exercises that mirror industry practices.
What You’ll Learn
This comprehensive course covers the complete data science toolkit. Here are the key tools and technologies you’ll master:
- Understand the Basics of SQL – Learn what SQL is, why it’s used, and how it fits into data workflows
- Perform Data Retrieval with SELECT Statements – Use SQL to extract meaningful data from databases
- Filter, Sort, and Aggregate Data – Apply conditions, sort results, and use aggregate functions like COUNT, AVG
- Join Multiple Tables – Combine data from different tables using INNER JOIN, LEFT JOIN, and more
- Insert, Update, and Delete Records – Modify database content with DML operations
- Create and Manage Tables – Design your own tables using CREATE, ALTER, and DROP
- Use Subqueries and Nested Queries – Enhance queries with inner and correlated subqueries
- Apply SQL with Python (sqlite3 / SQLAlchemy) – Connect SQL queries with Python scripts and ORM models
- Work with Real-World Datasets – Load, clean, and analyze real data to solve business problems
- Handle Errors and Exceptions in SQL-Python Workflows – Use best practices to manage runtime errors and ensure clean execution
- Build a Mini Data Analysis Project – Apply your skills in a capstone project using SQL and Python
Pro Tip: This course focuses on practical application rather than theory. You’ll work on real projects that you can add to your portfolio immediately.
Course Content
Requirements
This course is designed to be beginner-friendly and is open to anyone, regardless of prior experience or background.
Course Description
The SQL Fundamentals with Python course is designed to equip learners with the essential skills required to work with databases and manipulate data using SQL and Python. This beginner-friendly course introduces the structure and operations of relational databases, guiding students through writing SQL queries to retrieve, filter, aggregate, and join data from multiple tables. Participants will also learn how to create, update, and manage database tables, as well as use subqueries for advanced querying techniques. By integrating SQL with Python using libraries such as sqlite3 or SQLAlchemy, learners will be able to automate database tasks, analyze datasets, and build real-world applications. The course includes hands-on exercises and a mini-project, enabling students to apply their knowledge to real-world data scenarios and build a strong foundation in data handling and analysis.
Course Content
Our curriculum includes 5 structured modules plus a final exam and project work designed to build practical SQL + Python skills:
- Welcome to SQL for Data Science
- General Information
- Learning Objectives and Syllabus
- Grading Scheme
- Introduction to SQL, Database, and DBMS
- SELECT Statement & Examples
- COUNT, DISTINCT, LIMIT
- INSERT, UPDATE, DELETE
- Hands-on Labs & Practice Quiz
- Graded Quiz: Basic SQL
- Relational Database Concepts
- DDL vs DML
- CREATE, ALTER, DROP, TRUNCATE Tables
- Using SQL Scripts
- Hands-on Labs & Practice Quiz
- Graded Quiz: Relational DB Concepts
- String Patterns, Sorting & Grouping
- Built-in & Date-Time Functions
- Subqueries and Nested SELECTs
- Working with Multiple Tables
- Hands-on Labs & Practice Quiz
- Graded Quiz: Functions, Tables & Subqueries
- Using Python DB-API
- SQL Magic in Jupyter
- Analyzing Data with Python
- Hands-on Labs with Real-World Data
- Practice Quiz & Graded Quiz
- Working with Real Datasets
- Exploring Table & Column Details
- Final Lab: SQLite Assignment
- Final Assignment (10 Questions)
- Final Exam
- Retake Exam
- Course Rating & Feedback
- Course Badge & Certificate
Highlights of this Course:
Upon successful completion of the course, you will receive a Course
Completion Certificate, a Digital Badge, and a Project Completion Certificate.
