Principles of Data Science: Learn the techniques and math you need to start making sense of your data: Mathematical techniques and theory to succeed in data-driven industries
Principles of Data Science offers an introduction to the techniques, mathematics, and theory that underpin data science. Written for learners getting started, it provides a foundation for understanding data and developing skills suited to work in data-driven industries.
About This Book
Principles of Data Science introduces the techniques and mathematical foundations used to make sense of data.
The book focuses on theory and practical understanding for readers beginning their data science journey.
It is intended to support learners who want to develop skills relevant to data-driven industries.
With an emphasis on core principles, the book provides a foundation for exploring data science concepts and methods.
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