How Long to Read Data Science for Infectious Disease Data Analytics

How Long Does it Take to Read Data Science for Infectious Disease Data Analytics?

It takes the average reader 7 hours and 10 minutes to read Data Science for Infectious Disease Data Analytics by Lily Wang

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

Description

Data Science for Infectious Disease Data Analytics: An Introduction with R provides an overview of modern data science tools and methods that have been developed specifically to analyze infectious disease data. With a quick start guide to epidemiological data visualization and analysis in R, this book spans the gulf between academia and practices providing many lively, instructive data analysis examples using the most up-to-date data, such as the newly discovered coronavirus disease (COVID-19). The primary emphasis of this book is the data science procedures in epidemiological studies, including data wrangling, visualization, interpretation, predictive modeling, and inference, which is of immense importance due to increasingly diverse and nonexperimental data across a wide range of fields. The knowledge and skills readers gain from this book are also transferable to other areas, such as public health, business analytics, environmental studies, or spatio-temporal data visualization and analysis in general. Aimed at readers with an undergraduate knowledge of mathematics and statistics, this book is an ideal introduction to the development and implementation of data science in epidemiology. Features Describes the entire data science procedure of how the infectious disease data are collected, curated, visualized, and fed to predictive models, which facilitates effective communication between data sources, scientists, and decision-makers. Explains practical concepts of infectious disease data and provides particular data science perspectives. Overview of the unique features and issues of infectious disease data and how they impact epidemic modeling and projection. Introduces various classes of models and state-of-the-art learning methods to analyze infectious diseases data with valuable insights on how different models and methods could be connected.

How long is Data Science for Infectious Disease Data Analytics?

Data Science for Infectious Disease Data Analytics by Lily Wang is 424 pages long, and a total of 107,696 words.

This makes it 143% the length of the average book. It also has 132% more words than the average book.

How Long Does it Take to Read Data Science for Infectious Disease Data Analytics Aloud?

The average oral reading speed is 183 words per minute. This means it takes 9 hours and 48 minutes to read Data Science for Infectious Disease Data Analytics aloud.

What Reading Level is Data Science for Infectious Disease Data Analytics?

Data Science for Infectious Disease Data Analytics 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 for Infectious Disease Data Analytics?

Data Science for Infectious Disease Data Analytics by Lily Wang 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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