Bộ sách luyện thi ETS 2023 LC&RC
199,000₫
299,000₫
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Applied Statistics with Python: Volume I:
Introductory Statistics and Regression concentrates on applied and
computational aspects of statistics, focusing on conceptual
understanding and Python-based calculations. Based on years of
experience teaching introductory and intermediate Statistics courses at
Touro University and Brooklyn College, this book compiles multiple
aspects of applied statistics, teaching the reader useful skills in
statistics and computational science with a focus on conceptual
understanding. This book does not require previous experience with
statistics and Python, explaining the basic concepts before developing
them into more advanced methods from scratch. Applied Statistics with
Python is intended for undergraduate students in business, economics,
biology, social sciences, and natural science, while also being useful
as a supplementary text for more advanced students. Key Features: •
Concentrates on more introductory topics such as descriptive statistics,
probability, probability distributions, proportion and means hypothesis
testing, as well as one-variable regression. • The book’s computational
(Python) approach allows us to study Statistics much more effectively.
It removes the tedium of hand/calculator computations and enables one to
study more advanced topics. • Standardized sklearn Python package gives
efficient access to machine learning topics. • Randomized homework as
well as exams are provided in the author’s course shell on My Open Math
web portal (free).
Categories:Mathematics - Mathematical Statistics
Content Type:Books
Year:2025
Language:english
Pages:320
