Top 11 Data Science Books for an Aspiring Data Scientist and What Makes Them Right for You

Before we get into the best books, let's understand what is data science? Now that digitization is spreading its roots, the collection and storage of data depend on machines, making it an effortless task. However, fetching useful information from a bulk of data still needs a consummate scientist, who can decipher necessary information from data, which otherwise looks like a mess. This requirement has given rise to a field known as data science.

Steps To Become a Data Scientist

How to Become a Data Scientist is the biggest enigma that every aspiring Data Scientist faces. Currently, a lot of or almost all companies employ data scientists to make quicker and better decisions to accelerate the company's progress. And you would be surprised to know that in the last eight years, the percent increase in the number of data scientists has touched a whopping 650 mark. Data scientists receive handsome paycheques across the world, and the need for them is predicted to increase in the future. 

So, if you are someone who wants to pursue their career in data science or want to hone up their skill in the field, you must start with reading data science books. The books will introduce you to the concept of data science and upscale your ability if you are already a part of it.

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The Difference Between Data Analytics And Data Science 

While most people use both terms interchangeably, you need to know that there is a significant difference between Data Science and Data Analytics. As opposed to Data Analytics, which combines data to find nuggets of greatness, used to help reach an organization's goals, Data Science connects information and data points to find relations that may turn out to be useful for the business. Therefore, there is also a significant difference between a data analyst and data scientist.

Skills Possessed by Data Scientists

Regardless of work experience, data scientist skills include Programming Skills, Statistics, Machine Learning, Multivariable Calculus & Linear Algebra, Data Wrangling, Data Visualization & Communication, Software Engineering, and Data Intuition.

Here is a list of a few data science books that you should read at different stages of your career to learn data science effectively. 

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Data Science Books For Novice

  1. Introduction to Machine Learning with Python

    A Guide for Data Scientists: This book is an ideal option for the people who want to kick start their career in Data Science and learn data science basics. With a friendly tone and perfect illustration of every concept, the book acts as a guiding force for a person who has no prior knowledge of data science, machine learning, and Python. After an in-depth study of the book, you would be able to build your own ML model without taking any pains. This is one of the best Python for data science books. 
  2. Machine Learning For Dummies by John Paul Mueller and Luca Massaron

    Designed to deliver all the data science basics, this is one of the best books when it comes to data science for beginners. It will take the readers deep into theory and basic concepts of Machine Learning and introduces them to the programming languages and the other tools required to apply those concepts effectively.
  3. Practical Statistics for Data Scientists

    It is among one of the must-have data science books for beginners that imparts an overview of all the concepts that are necessary for excelling in data science. It covers all the topics and serves as a quick and easy reference for building ML models.
  4. Introduction to Statistical Learning by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani

    For anyone who is taking his/her first step towards machine learning, this book is everything he/she needs. The book will also introduce you to the statistical technique in R programming.

Data Science Books For Intermediate Level

  1. Python Data Science Handbook

    If you are someone who is well acquainted with the basics of Data Science, Python Data Science Handbook is the best book to take your data science skills a notch up. Through this book, you will get to learn a lot about the standard python library.
  2. Python for Data Analysis

    From all the possible methods of data analysis to Python's role in data analysis and statistics, this book moves at a decent pace to make readers comfortable with the crux of data science. The references presented by the author of one of the best data analytics books will add up to your skill, and you will have a good time learning it. It simplifies data analytics for beginners, too. Consider reading data mining books in addition to this book.
  3. Pattern Recognition and Machine Learning

    You would be comfortable with the jargon used in the book if you have already read a few books on DS. If you are done with the basics of Data Science and want to take a deep dive into Machine Learning and mathematics, this book would be a great pick for you.

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Data Science Books For Advanced Level

  1. Practical Data Science with R

    Want to know what businesses demand from data science, in that case, you must consider befriending this book. It has established itself as the best statistics book for data science. If you seriously want to be a data scientist, this book is your bible.
  2. Data Science For Dummies by Lillian Pierson

    MPP platforms, Spark, Machine Learning, NoSQL, Hadoop, Big Data Analytics, MapReduce, and Artificial Intelligence are everything you need to become a pro-Data Scientist. Data Science For Dummies explains all these concepts in a comprehensive manner and makes learning fun and effective.
  3. Machine Learning: a Probabilistic Perspective

    For Mathematics lovers, this book is a treat. Every mathematical concept of Data Science has been wonderfully presented in front of users in the simplest way possible.
  4. Introduction to Algorithms by Thomas H. Corman

    The bookshelf of every programmer deserves this book as it is one of the most needed and the most popular algorithm books. Reading the book in one go is not expected from you, but it is the best book for reference. 

Once you're done with all these data science books, consider enrolling the Data Science Master's Program, the world-class training programs by industry leaders, to gain hands-on exposure to key technologies including R, SAS, Python, Tableau, Hadoop, and Spark. After the completion of the Master Program, you will be awarded certificates from IBM and Simplilearn in the Data Scientist courses. These certificates will testify to your skills as an expert in Data Science.

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