A Beginner-to-Upper Intermediate Data Science Roadmap for 2025 #6: Database & SQL Fundamentals

A Step-by-Step Roadmap to Start a Data Science Career In 2025

In the Sixth article of the series A Beginner-to-Upper Intermediate Data Science Roadmap for 2025, you will learn the fundamentals of SQL & Database fundamentals for data science.

In today’s data-driven world, the ability to analyze and manipulate large amounts of data has become a critical skill for data scientists. SQL (Structured Query Language) is a powerful tool that allows data professionals to extract valuable insights from vast amounts of data.

However, mastering SQL can be a challenging task, especially for those new to the field. This comprehensive guide aims to bridge the gap between novice and advanced SQL skills for data scientists.

From the basics of SQL syntax to advanced techniques such as optimizing queries and data modeling, this guide provides a step-by-step approach to mastering SQL for data science.

Whether you are a beginner or an experienced data professional, this guide will equip you with the knowledge and skills needed to become a SQL master and excel in your data science career.

This article is the Sixth article in the ongoing series of A Beginner-to-Upper Intermediate Data Science Roadmap for 2025:

• Introduction to Data Science & Data Methodology (Published!)

• Mathematics for Data Science (Published!)

• Python Fundamentals (Published!)

• Python for Data Science (Published!)

• Software Engineering Basics (Coming Soon!)

• Database & SQL Fundamentals (You are here!)

• Data Cleaning & Preprocessing (Coming Soon!)

• Feature Engineering (Coming Soon!)

• Mastering Machine Learning (Coming Soon!)

• Deep Learning Fundamentals (Coming Soon!)

• Generative AI & Large Language Models (LLMs) Fundamentals (Coming Soon!)

• Machine Learning Operations (MLOps) (Coming Soon!)

• Building Your Data Science Portfolio (Coming Soon!)

• Getting Ready for the Market (Coming Soon!)

Whether you’re a recent graduate or a professional looking to make a career change, the field of Data Science and AI offers a wide range of exciting and lucrative opportunities.

In this series of articles, I will provide you with a comprehensive guide that provides a clear and actionable plan for building the skills and knowledge you need to succeed in this growing field. By following the steps outlined in this roadmap, you’ll be well on your way to a successful and rewarding career in Data Science and AI.

This roadmap will take you to an upper intermediate level, and I believe you can land a job and start your career after finishing it. However, to go to an advanced level, you will need to take more in-depth courses, books, and research papers.

For each learning step, there will be compulsory material, optional material, and action points to make sure you put what you have learned into action. Also, there will be an estimated time for each of the learning resources in hours so you can calculate the time needed to finish this roadmap depending on your pace.

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Table of Contents:

1. SQL Basics

2. Intermediate & Advanced SQL

3. Database for Data Science

4. SQL Case Studies

5. SQL Practice

6. Advanced SQL Learning Material

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