It takes the average reader 9 hours and 18 minutes to read Data Science in R by Deborah Nolan
Assuming a reading speed of 250 words per minute. Learn more
Effectively Access, Transform, Manipulate, Visualize, and Reason about Data and Computation Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving illustrates the details involved in solving real computational problems encountered in data analysis. It reveals the dynamic and iterative process by which data analysts approach a problem and reason about different ways of implementing solutions. The book’s collection of projects, comprehensive sample solutions, and follow-up exercises encompass practical topics pertaining to data processing, including: Non-standard, complex data formats, such as robot logs and email messages Text processing and regular expressions Newer technologies, such as Web scraping, Web services, Keyhole Markup Language (KML), and Google Earth Statistical methods, such as classification trees, k-nearest neighbors, and naïve Bayes Visualization and exploratory data analysis Relational databases and Structured Query Language (SQL) Simulation Algorithm implementation Large data and efficiency Suitable for self-study or as supplementary reading in a statistical computing course, the book enables instructors to incorporate interesting problems into their courses so that students gain valuable experience and data science skills. Students learn how to acquire and work with unstructured or semistructured data as well as how to narrow down and carefully frame the questions of interest about the data. Blending computational details with statistical and data analysis concepts, this book provides readers with an understanding of how professional data scientists think about daily computational tasks. It will improve readers’ computational reasoning of real-world data analyses.
Data Science in R by Deborah Nolan is 539 pages long, and a total of 139,601 words.
This makes it 182% the length of the average book. It also has 171% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 12 hours and 42 minutes to read Data Science in R aloud.
Data Science in R 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.
Data Science in R by Deborah Nolan is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.
To buy Data Science in R by Deborah Nolan on Amazon click the button below.
Buy Data Science in R on Amazon