Data science is one of the most demanded professions in the current scenario. Data science playing a major influencing role in the upcoming decades would be a well-estimated statement too. The growth in the demand for data scientists will also keep pace with this influence of data science, thus promising enough and more data science jobs for young beginners and graduates. This article will inform you of a list of top data science books for beginners that will help you get introduced to data science and also give an insight into the data science course eligibility for you to follow when you choose data science as a program.
Top 4 Data Science Books for Beginners
1. Data Science From Scratch by Joel Grus
It is a great book to discover during the early days of data science. It is a great book that guides you through the fundamental concepts of data science in a simple manner. The author approaches the subject in an unconventional manner where you are hired as the lead data scientist at DataSciencester, a hypothetical social network. The book helps you to solve all problems that you encounter at work.
The book provides you with data science concepts including programming, statistics, probability, and big data. It is a well-recommended data science book for beginners to guide you through the early days of learning the subject.
2. Introduction to Machine Learning with Python: A Guide for Data Scientists By Andreas C. Müller and Sarah Guido
One of the more popular elements in data science is machine learning (ML) and a lot of people are trying to transition from being data scientists to machine learning engineers. Even if you are not looking to make that transition, learning about ML is still just as important. This book will take you through Python and help you learn the language. The book will also cover ML basics and give you practical examples that can help you build ML models as well. It is recommended that you transition to advanced concepts once you are confident with what this book has to offer.
3. Introduction to Probability By Joseph K. Blitzstein and Jessica Hwang
Probability is among the fundamental concepts of data science and is a must-have skill for aspirants who wish to become data scientists. This book will introduce you to this highly essential field and its concepts through real-life problems. It is a book that builds up to the basic probability that you may have studied in school or later in college. This book will help you build a strong concept for statistical data science and the respective data science applications.
4. Build a Career in Data Science by Emily Robinson and Jacqueline Nolis
This book is an absolute must because it teaches you how the data science industry works. Writers Emily and Jaqueline guide you through decisions like picking data science as a career and weighing them against the different data science jobs that are available in the market including the end-to-end process of getting the job as one. This book covers almost everything that you will need to know to become a data scientist and as a bonus, the book also provides you with a lot of advice for people who are already growing in the field, and keeping this book as a career guide may be just about the right thing for you to do.
Data and its demand cannot be overlooked any longer. All modern institutions and business organizations have made data bread and butter for their operations. This is giving rise to data science and the profession of data scientists exponentially. For now, there seem no signs for this trend to slow down in any way, let alone die out. We at Praxis are proud to present a state-of-the-art Post-Graduate Program in Data Science, curated in a manner that will help you learn all that you need to kick start your career as a data scientist. Our remarkable placement records just act as testimony to why this is indeed a top data science program for you to pursue.