Principles of Data Science

Learn the techniques and math you need to start making sense of your data

Key Features

• Enhance your knowledge of coding with the theory for practical insight in data science and analysis
• More than just a math class; you’ll perform real-world data science tasks using Python
• Get the best insights and transform your data to get tangible value out of it

Book Description

What you will learn

• Understand five most important steps of data science
• Use your data intelligently and learn how to handle it with care
• Bridge the gap between mathematics and programming
• Drive actionable results and clean your data using statistical models, calculus, and probability
• Build and evaluate baseline machine learning models
• Explore effective metrics to determine the success of your machine learning models
• Create data visualizations that communicate actionable insights
• Apply machine learning concepts to your problems and make actual predictions

Who this book is for

If you are an aspiring data scientist who wants to take your first steps in data science, this book is for you. If you have the basic math skills but want to apply them in data science, or you have good programming skills but lack the necessary math, this book will also help you. Some knowledge of Python programming will also help.