Data Analysis with Machine Learning for Psychologists: Crash Course to Learn Python 3 and Machine Learning in 10 hours

The power of data drives the digital economy of the 21st century, and there is a growing demand for skills in machine learning and Python. This book was written by a psychologist to make the learning experience smooth for psychology students/researchers with no background in programming or data science, opening up possibilities for quantitative research.

Format: Hardback
Length: 161 pages
Publication date: 18 October 2022
Publisher: Springer International Publishing AG

The power of data drives the digital economy of the 21st century, with some arguing that it is as vital a resource as oil was during the industrial revolution. This trend is reflected in the increasing number of research publications using machine learning in top journals and the growing demand for Python knowledge among academic recruiters in psychology. However, there is a lack of books specifically designed for social science students with no computer science background, often filled with technical jargon and irrelevant examples.

In contrast, this book was written by a psychologist in a simple, easy-to-understand way that is brief and accessible. The aim is to make the learning experience on data science as smooth as possible for psychology students/researchers with no background in programming or data science. Completing this book will also open up an enormous amount of possibilities for quantitative researchers in psychological science, as it will enable them to explore newer types of research questions.

The digital economy of the 21st century is driven by the power of data, which has been compared to the importance of oil during the industrial revolution. This trend is evident in the increasing number of research publications that utilize machine learning in top journals and the growing demand for Python knowledge among academic recruiters in psychology. However, there is a significant gap in the market for books that cater specifically to social science students with no background in computer science. These books are often filled with technical jargon and examples that are irrelevant to psychological studies or projects.

In contrast, this book was written by a psychologist with the goal of making the learning experience on data science as seamless and accessible as possible for psychology students and researchers with no prior programming or data science knowledge. The author has approached the topic in a simple, straightforward manner, ensuring that the content is brief and easy to understand. By completing this book, psychology students and researchers will gain valuable skills that will enable them to explore new research questions and methodologies in their field.

Moreover, the completion of this book will open up a wide range of possibilities for quantitative researchers in psychological science. With the ability to analyze and interpret data using Python, researchers will be able to explore innovative research questions and develop new theories and models that can contribute to our understanding of human behavior and mental processes.

In conclusion, the power of data drives the digital economy of the 21st century, and this book is a valuable resource for psychology students and researchers who wish to gain proficiency in data science. By providing a simple, accessible, and comprehensive approach to the topic, this book will enable students to explore new research opportunities and contribute to the field of psychological science.

Weight: 436g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031146336
Edition number: 1st ed. 2022