How Long to Read Data Science in Theory and Practice

How Long Does it Take to Read Data Science in Theory and Practice?

It takes the average reader 6 hours and 50 minutes to read Data Science in Theory and Practice by Maria Cristina Mariani

Assuming a reading speed of 250 words per minute. Learn more

Description

DATA SCIENCE IN THEORY AND PRACTICE EXPLORE THE FOUNDATIONS OF DATA SCIENCE WITH THIS INSIGHTFUL NEW RESOURCE Data Science in Theory and Practice delivers a comprehensive treatment of the mathematical and statistical models useful for analyzing data sets arising in various disciplines, like banking, finance, health care, bioinformatics, security, education, and social services. Written in five parts, the book examines some of the most commonly used and fundamental mathematical and statistical concepts that form the basis of data science. The authors go on to analyze various data transformation techniques useful for extracting information from raw data, long memory behavior, and predictive modeling. The book offers readers a multitude of topics all relevant to the analysis of complex data sets. Along with a robust exploration of the theory underpinning data science, it contains numerous applications to specific and practical problems. The book also provides examples of code algorithms in R and Python and provides pseudo-algorithms to port the code to any other language. Ideal for students and practitioners without a strong background in data science, readers will also learn from topics like: Analyses of foundational theoretical subjects, including the history of data science, matrix algebra and random vectors, and multivariate analysis A comprehensive examination of time series forecasting, including the different components of time series and transformations to achieve stationarity Introductions to both the R and Python programming languages, including basic data types and sample manipulations for both languages An exploration of algorithms, including how to write one and how to perform an asymptotic analysis A comprehensive discussion of several techniques for analyzing and predicting complex data sets Perfect for advanced undergraduate and graduate students in Data Science, Business Analytics, and Statistics programs, Data Science in Theory and Practice will also earn a place in the libraries of practicing data scientists, data and business analysts, and statisticians in the private sector, government, and academia.

How long is Data Science in Theory and Practice?

Data Science in Theory and Practice by Maria Cristina Mariani is 404 pages long, and a total of 102,616 words.

This makes it 136% the length of the average book. It also has 125% more words than the average book.

How Long Does it Take to Read Data Science in Theory and Practice Aloud?

The average oral reading speed is 183 words per minute. This means it takes 9 hours and 20 minutes to read Data Science in Theory and Practice aloud.

What Reading Level is Data Science in Theory and Practice?

Data Science in Theory and Practice is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Data Science in Theory and Practice?

Data Science in Theory and Practice by Maria Cristina Mariani is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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