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The power of data drives the digital economy of the 21st century.
It has been argued that data is as vital a resource as oil was
during the industrial revolution. An upward trend in the number of
research publications using machine learning in some of the top
journals in combination with an increasing number of academic
recruiters within psychology asking for Python knowledge from
applicants indicates a growing demand for these skills in the
market. While there are plenty of books covering data science,
rarely, if ever, books in the market address the need of social
science students with no computer science background. They are
typically written by engineers or computer scientists for people of
their discipline. As a result, often such books are filled with
technical jargon and examples irrelevant to psychological studies
or projects. In contrast, this book was written by a psychologist
in a simple, easy-to-understand way that is brief and accessible.
The aim for this book was to make the learning experience on this
topic 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.
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