How Long to Read Data Science Concepts and Techniques with Applications

How Long Does it Take to Read Data Science Concepts and Techniques with Applications?

It takes the average reader 3 hours and 32 minutes to read Data Science Concepts and Techniques with Applications by Usman Qamar

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

Description

This book comprehensively covers the topic of data science. Data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other related disciplines. This book synthesizes both fundamental and advanced topics of a research area that has now reached maturity. The chapters of this book are organized into three sections: The first section is an introduction to data science. Starting from the basic concepts, the book will highlight the types of data, its use, its importance and issues that are normally faced in data analytics. Followed by discussion on wide range of applications of data science and widely used techniques in data science. The second section is devoted to the tools and techniques of data science. It consists of data pre-processing, feature selection, classification and clustering concepts as well as an introduction to text mining and opining mining. And finally, the third section of the book focuses on two programming languages commonly used for data science projects i.e. Python and R programming language. Although this book primarily serves as a textbook, it will also appeal to industrial practitioners and researchers due to its focus on applications and references. The book is suitable for both undergraduate and postgraduate students as well as those carrying out research in data science. It can be used as a textbook for undergraduate students in computer science, engineering and mathematics. It can also be accessible to undergraduate students from other areas with the adequate background. The more advanced chapters can be used by postgraduate researchers intending to gather a deeper theoretical understanding.

How long is Data Science Concepts and Techniques with Applications?

Data Science Concepts and Techniques with Applications by Usman Qamar is 207 pages long, and a total of 53,199 words.

This makes it 70% the length of the average book. It also has 65% more words than the average book.

How Long Does it Take to Read Data Science Concepts and Techniques with Applications Aloud?

The average oral reading speed is 183 words per minute. This means it takes 4 hours and 50 minutes to read Data Science Concepts and Techniques with Applications aloud.

What Reading Level is Data Science Concepts and Techniques with Applications?

Data Science Concepts and Techniques with Applications 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 Concepts and Techniques with Applications?

Data Science Concepts and Techniques with Applications by Usman Qamar 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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