Database Fundamentals for Data Science

Data is the foundation of modern data science, and databases play a crucial role in storing, managing, and retrieving this data efficiently. Database Fundamentals for Data Science is a comprehensive course designed to equip learners with essential database management skills, focusing on SQL (Structured Query Language), NoSQL databases, and database integration with Python.

Created by

Oscar Murungi

    • (0 Reviews)

0 Hours

0 Enrolled

English

Last updated

Thu, 12-Jun-2025

Course description

Data is the foundation of modern data science, and databases play a crucial role in storing, managing, and retrieving this data efficiently. Database Fundamentals for Data Science is a comprehensive course designed to equip learners with essential database management skills, focusing on SQL (Structured Query Language), NoSQL databases, and database integration with Python.

This course covers the core principles of relational and NoSQL databases, providing hands-on experience in designing, querying, and optimizing databases for real-world data science applications. You will learn how to use SQL for data extraction, manipulation, and analysis, as well as explore NoSQL databases like MongoDB for handling unstructured data. Additionally, you will integrate databases with Python, enabling seamless data retrieval and processing for machine learning and data analytics.

Whether you are an aspiring data scientist, analyst, or software developer, this course provides the necessary knowledge and practical skills to work with databases efficiently. By the end of this course, you will be able to design, manage, and query databases for large-scale data analysis, making you a valuable asset in any data-driven organization.

Why Take This Course?

  • Industry-Relevant Skills: Learn practical database techniques used in real-world data science projects.
  • Hands-On Learning: Work with real datasets and implement SQL and NoSQL queries.
  • Python Integration: Learn how to connect and manipulate databases using Python.
  • Capstone Project: Apply your skills to design and query a real-world database system.
  • Career Growth: Gain in-demand skills that are essential for data science, analytics, and software engineering roles.

By the end of this course, you will have the confidence and technical expertise to work with databases in data science, analytics, and machine learning applications.

What will i learn?

  • Understand the role and structure of databases in data science workflows
  • Create and manage relational databases and tables
  • Learn and apply SQL to manipulate and query data
  • Understand data types, keys, normalization, and indexing
  • Connect databases to analytics tools for data extraction
  • Prepare databases for use in Python/R data pipelines
  • Interpret and document database schemas effectively
  • Build confidence to work with real-world databases in data projects

Requirements

  • A computer (Windows/macOS/Linux)
  • No prior programming or database experience required
  • A stable internet connection
  • Willingness to explore and work with structured data
  • Software: MySQL or PostgreSQL, DB Browser, or DBeaver (Free tools)

Frequently asked question

This course introduces you to the core principles of databases with a focus on how data scientists store, manage, and access structured data for analysis and machine learning.

No programming experience is required. This course is beginner-friendly and will guide you through using databases from a data science perspective.

You will learn the basics of Relational Databases, specifically using MySQL and PostgreSQL, which are commonly used in the data science industry.

Yes. You’ll learn foundational SQL (Structured Query Language) skills for creating tables, inserting data, and writing queries to retrieve and analyze data.

Absolutely. Databases are a critical part of any data scientist’s toolkit. This course prepares you to handle real-world datasets and connect databases to tools like Python and R.

You’ll work on tasks such as creating a relational schema, querying real-world datasets, designing a small student database, and understanding data normalization.

This course primarily focuses on Relational Databases (SQL). However, we’ll briefly discuss NoSQL databases to provide a complete perspective.

Yes. Upon successful completion of the course and final project, you will receive a Quantify Academy Certificate that demonstrates your proficiency in database fundamentals.

Oscar Murungi

Instructor

I'm a passionate data science instructor, love community building and exploring new opportunities in the tech field.
View profile

$97.25

Lectures

0

Skill level

Beginner

Expiry period

5 Months
Remove from cart Add to cart Buy now

Share this course

Related courses

Beginner

Essentials of R Programming

0

(0 Reviews)

00:33:36 Hours

$86.4
Enroll now

Empowering a generation of data-savvy youths by providing accessible, practical, and high-quality online data science education that equips them with the skills, tools, and confidence to solve real-world problems, drive innovation, and lead in the digital age.

Subscribe to our newsletter

Top categories

Useful links

Help

© 2025 Quantify academy. All Rights Reserved.