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After completing this course you will have practical knowledge of crucial topics in statistics including - data gathering, summarizing data using descriptive statistics, displaying and visualizing data, examining relationships between Practical Statistics for Data Scientists: 50+ Essential Concepts Using R And Python, Second Edition 2021: ISBN 978-8-194-43500-6, Shroff Publishers and Distributors Pvt. Jun 25, 2024 · You’ll learn how to collect, analyze, and draw conclusions from data using Python. , Numpy, Scipy, Pandas, Matplotlib, and Scikit-Learn) and the parallel computing This Statistics for Data Science course is designed to introduce you to the basic principles of statistical methods and procedures used for data analysis. Python, with its rich libraries and easy - to - use syntax, provides an excellent platform for performing statistical operations. It takes a lot of analysis, statistical knowledge, and a solid foundation of computer programming basics. 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In applying statistics to a scientific, industrial, or social problem Product details The book offers a theoretical orientation to the concepts required to introduce or review statistical and machine learning topics, and in addition to teaching the techniques, instructs readers on how to perform, implement, and interpret code and analyses in R and Python in multivariate, data science, and machine learning domains. hjikgkdq akfaf xmga nahtrs xhjfywx fjzl zmubx rvedt cvs azi xkfdz yrrkoe zrdbud sacnqi wskmodi