Data science is becoming more and more important for all kinds of industries, and so more and more roles are being created around it. If you want to switch careers, then data science is a great way to do so. Not sure where to start? Check out these top data science books, as they will give you an excellent base understanding of the field.
Table of Contents
1. Head First Statistics: A Brain Friendly Guide
If you’re just starting out with statistics, then this is the book you should read first. It covers all the basics that you may have learned at school but may need a refresher on. It uses a conversational tone that makes it a lot easier to get what you need, and uses graphics and illustrations that make concepts very easy to understand. There’s plenty of real life examples available to you as well here.
2. Introduction To Machine Learning With Python
Machine learning is one of the most exciting parts of data science, helping you break down data and interpret it. If you’re brand new to it, this book will give you everything you need to know. “You don’t have to have used Python or ever encountered machine learning before, to get what you need out of this book. Once you’ve read it, you’ll be able to create your own machine learning models in Python,” explains Joseph A. Crockett, a tech blogger at Essay Help and Paperfellows.
3. Pattern Recognition And Machine Learning
This book covers machine learning in detail, so if you need to learn more about what it is and what it does, this is the one for you. It explains a lot of concepts in a simple way, so all readers will be able to understand, no matter where they are in the learning process. There’s plenty of pictures and graphs, and if you have a Kindle subscription it’s totally free.
4. Naked Statistics
Don’t want to get bogged down in heavy math and stats? Then reading this book will make the subject come alive. As you’d guess by the title, the book is witty and conversational, making stats interesting and relevant with real life examples. You’ll cover all the basics here, so it’s a good place to get started.
5. R For Data Science
Here’s another book that’s designed for beginners, so you can start dipping your toes into data science. It gives you an idea of how data science works in real life, so you can get to grips with how it works and why it’s relevant. It gives a particular insight on how data is processed, getting it from it’s messy, manageable state to something that will give you valuable information.
6. Data Science And Big Data Analytics
Never encountered big data before? Not to worry, as this book introduces the concept and shows you just how important it is to every day life. “Each step of big data analysis is described per chapter, along with graphs and illustrations that make the concept a lot easier to understand. As a beginner, you’ll be able to get a lot out of this book,” explains David E. Groth, a writer at Write My Paper and Essay Writing Services.
7. Python For Data Analysis
If you’ve never used Python before, don’t worry. This book covers the basics of Python, before it goes on to data analysis and statistics. As it’s so simple, it’s easy to understand and you can hit the ground running. Once you’ve read it, you’ll be able to start building your own models, and get started with data analysis yourself.
8. Introduction To Probability
Probability is one of the most important things to consider when it comes to data science. If you need a refresher on it, this book should be your first port of call. You’ll get a good overview, using real life problems to help you understand the concepts being explained. It’s a book that has been around for decades, as it’s one of the best titles out there on the subject.
With these titles, you can start learning about data science and how it can be used in so many ways. With new jobs being created all the time by data analysis, you’ll be giving yourself an excellent foundation for changing your career path. Check these books out now, and get learning.