Over the years, we humans have gathered data on a variety of things, from the daily weather to the items we buy online. While this data might just seem to be hogging up space, it is actually a very important resource. The multidisciplinary field of data science aims to uncover findings from data. The process involves actively mining at the data to understand the trends, complex behaviors, and inferences of the data. It will give insights that just cannot be determined by humans, and these insights are very helpful to make smarter business choices. Netflix and Target use data science to provide a better service to their customers. The exact process involves providing the system with a huge load of data, this system will then mine this data to provide you with inferences about the data. This makes data science one of the most intriguing fields of the twenty-first century and has even been called “The Sexiest Job of the 21st Century” by Harvard Business Review. Thus you will benefit a lot from learning the basics of data science. Below are some of the top books available on data science.
Data Science (MIT Press Essential Knowledge series)
This book discusses the challenges faced in the field of data science and also provides you with a basic understanding of machine learning. It also discusses the future of data science and provides you with the basic principles that you need to have to succeed in a data science project. It also discusses the very controversial ethical and legal issues of data science. This book will be best for you if you want to cover all the major topics of data science in a simple manner. It is best suited for beginners and will ensure that you leave with an understanding of what the field is really about and how a data science project actually works. This book is considerably cheap, so do pick it up if you want to get started on data science
Python Data Science Handbook: Essential Tools for Working with Data
- This book is written by Jake VanderPlas, who is a long time developer of the Python scientific stacks.
This book exclusively deals with using Python for data science.
Python is highly preferred among developers as it has a huge variety of libraries that allow you to store, manipulate, and infer insights from data.
This book teaches you how to use all the major libraries of Python, this is seldom seen in other books. This book covers Matplotlib, Scikit-Learn, IPython, NumPy, Pandas, and other such tools. While this book is not meant for beginners, data scientists and developers will find it as an extremely useful reference book. This is a big book and is expensive, so do ensure that you need it before you buy it.
Data Science from Scratch: First Principles with Python
- This book is written by Joel Grus, he is a research engineer at the Allen Institute for Artificial Intelligence and is an expert in the field.
This is one of the best books for you to understand the underlying principles and mathematics of data science.
This book even has the basics of natural language processing.
While this book is very good, it does need you to have a solid foundation in mathematics and programming. Don’t get too worried because the book also has a section that will teach you the basics of the mathematics used in data science. While this book is expensive, it will be worth the cost.
Data Science For Dummies, 2nd Edition (For Dummies (Computers))
This book primarily deals with how data science is used in the business world to get valuable insights. This book provides you with a broad knowledge of the enormous field of data science. Do not buy this book if you want a manual to do some specific tasks in regards to data science. The book does, however, give you an understanding of big data, machine learning, and artificial intelligence. The world of data science has many lucrative job offers, grab this book to get started on that journey. This book is not expensive too.
Practical Statistics for Data Scientists: 50 Essential Concepts
This will provide the reader with a statistical perspective, this is needed to properly understand the statistical methods used in data science and know their limitations. This book is thus recommended for experts while beginners should avoid it. The book does not cost a whole lot of money too.