5 Essential Textbooks for Learning Statistics and How They Can Help Your Career Growth

Are you a student who is learning statistics? Well, then, this article is for you. Statistics is a subject concerned with science developing and studying methods for collecting, interpreting, analyzing, and presenting empirical data. Statistics is a subject that is a highly interdisciplinary field.

From developing new statistical methods to theory, research in statistics applications is virtually related to all scientific fields. It also has the methods statisticians draw on various mathematical and computational tools.

And, If you are studying or learning statistics and want good career growth, these are the top five textbooks that must be studied. Not only the textbooks but also the solutions of these books are quite a mandate when you are studying it.

An Introduction to Statistical Learning: with Applications in R by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani

The textbook provides an overview of the field of statistical learning. In the past 20 years, statistical learning has become an essential toolset for making sense of the complex data sets that have emerged in fields ranging from biology to finance to astrophysics to marketing. The book presents some of the most important modelling and prediction techniques and relevant applications.

The topics included in this book are linear regression, resampling methods, tree-based methods, classification, shrinkage approaches support vector machines, clustering, and more. The real-life examples are used to illustrate the methods presented with colourful graphics. The book aims to facilitate the use of these statistical learning techniques by practitioners in the science industry and other fields. Every chapter contains a tutorial on implementing the methods and analyses presented in R, an extremely popular source statistical software platform.

Naked Statistics: Stripping the Dread from the Data by Charles Wheelan

As the field of statistics is growing rapidly evolving into a discipline. This textbookbook by Charles Wheelan shows us the right data with a few well-chosen statistical tools that can help the students answer the questions below.

How can one catch schools that cheat on standardized tests?

How does Netflix find what we would like to watch?

What is the cause of the rising incidence of autism?

The texbook strips away the arcane and technical details and only focuses on the underlying intuition that drives statistical analysis. The author has written this book to clarify key concepts such as correlation, inference, and regression analysis, reveal how biased or careless parties can manipulate or misrepresent data, and show us how brilliant and creative researchers exploit valuable data from natural experiments to tackle thorny questions.

The book is not written in dull sight, but it ensures to be learning concepts in a new style which will make the students understand the statistical approach in a fun way.

All of Statistics: A Concise Course in Statistical Inference by Larry Wasserman

This textbook are for the ones who want to learn statistics and probability quickly. This book covers a much broader range of statistics textbook topics than a typical introductory book. Suitable for both advanced undergraduate students or graduate in mathematics, computer science, , statistics, and related disciplines.

It is designed to assume that the reader knows calculus and a little linear algebra. It has statistics, data mining, and machine learning together with collecting and analyzing data. The topics included in the book are modern ones like non-parametric curve estimation, classification, and bootstrapping. These are the topics that are usually relegated to follow-up courses.

Statistical Inference by George Casella, Roger L. Berger

The first principle of probability theory is the book's topic. The textbook starts with the basics of probability. Then the author develops the theory of statistical inference using techniques, definitions, and statistical concepts that are natural extensions and consequences of previous concepts. Having strong mathematical background is a must to use this book. To improve conceptual knowledge and if you are stressed with more practical uses of statistical theory, be more concerned with a basic understanding of statistical concepts and less with formal optimality investigations.

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The Visual Display of Quantitative Information by Edward Tufte

It is a classic textbook solutions on statistical graphics, charts, and tables. This textbook is on theory and practice in the design of data graphics with 250 illustrations of the statistical graphics, with a detailed analysis of how to display data precisely, quickly, and effectively. The design of the high-resolution displays with Editing and improving graphics. The data-ink ratio, relational graphics, time series, data maps, and multivariate designs. The textbook provides an excellent colour reproduction of the many graphics of William Playfair, adds colour to other images, and includes all the corrections accumulated.

The books, as mentioned earlier, are a must-read if you are studying statistics in your higher education. And if you want to find these textbook along with their solution Crazy for Study is the platform where you can find all these books. Study and get your grades boosted up.