DATA SCIENCE GUIDE

Data Science: A Practical Beginner's Guide

Author: SAKTHI SUBASH K

Want to learn Data Science but don't know where to start?

This book is designed to help beginners understand Data Science step by step. It starts with the basic concepts and gradually introduces the tools and skills used in real-world data work.

With 48 lessons, simple explanations, worked examples and practice tasks, you can build your knowledge at your own pace.

What You Will Learn

• Introduction to Data Science and its workflow

• Python programming from the basics

• NumPy and Pandas for data handling

• Data cleaning and Exploratory Data Analysis

• Statistics and probability

• SQL and database concepts

• Data visualisation using Matplotlib

• Machine Learning fundamentals

• Regression, classification and clustering

• Model evaluation and improvement

• Deep learning basics

• Data engineering and model deployment

• Responsible AI, privacy and fairness

What Is Included?

• 48 learning lessons

• Worked examples for better understanding

• Practice tasks after lessons

• 3 practical portfolio project guides

• 12 Data Science interview questions with answers

• A 90-day learning plan

• Data Science glossary

• Final learning checklist

Who Should Read This Book?

• Students who want to enter the Data Science field

• Beginners with no programming background

• Working professionals who want to learn data skills

• People interested in Python and Machine Learning

• Self-learners who want a structured starting point

Start with the basics. Practise with real examples. Build your Data Science knowledge one lesson at a time.

This book is a learning guide. Practical coding and project work are needed to build professional skills.