The book has been one of the most popular books for about 5 decades and that is one more reason why it should definitely be on your bookshelf. If you are going to learn probability for the first time – this book can help you build a strong foundation in the core concepts, though you will have to work for a little longer with the book. If you have studied probability in school, this book is a must-have to further your knowledge of the basic concepts. The explanations are pretty neat and resemble real-life problems. This is perhaps the best book to learn about probability. If you are from a math background in school, you might remember calculating the probability of getting a spade or heart from a pack of cards and so on. It is a quick and easy reference, however, is not sufficient for mastering the concepts in-depth as the explanations and examples are not detailed. This book covers all the topics that are needed for data science. The book also surprises one with a survey of ML models. The book is not too detailed but gives good enough information about all the high-level concepts like randomization, sampling, distribution, sample bias, etc… Each of these concepts is explained well and there are examples along with an explanation of how the concepts are relevant in data science.
If you are a beginner, this book will give you a good overview of all the concepts that you need to learn to master data science. Overall a great book to begin your data science journey. You can find some good real-life examples to keep you hooked on to the book. There are a lot of pictures and graphics and bits on the sides that are easy to remember. The book covers a lot of statistics starting with descriptive statistics – mean, median, mode, standard deviation – and then go on to probability and inferential statistics like correlation, regression, etc… If you were a science or commerce student in school, you may have studied all of it, and the book is a great start to refresh everything you have already learned in a detailed manner. Just like other books of Headfirst, the tone of this book is friendly and conversational and the best book for data science to start with. Head First Statistics: A Brain-Friendly Guide Here are some of the best books that you can read to better understand the concepts of data science – 1. Learning data science through books will help you get a holistic view of Data Science as data science is not just about computing, it also includes mathematics, probability, statistics, programming, machine learning, and much more. That said, there is nothing better than reading data science books to get the ball rolling. There will be enough data science jobs that can fetch you a handsome salary as well as opportunities to grow. Ramya Shankar | 21 Mar, 2023 10 Best Data Science Books for Beginners and Advanced Data ScientistĪpart from the fact that Data Science is one of the highest-paid and most popular fields of date, it is also important to note that it will continue to be more innovative and challenging for another decade or more.
0 kommentar(er)
