How Long to Read Statistical Application Development with R and Python

How Long Does it Take to Read Statistical Application Development with R and Python?

It takes the average reader 7 hours and 15 minutes to read Statistical Application Development with R and Python by Prabhanjan Narayanachar Tattar

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

Description

Software Implementation Illustrated with R and Python About This Book Learn the nature of data through software which takes the preliminary concepts right away using R and Python. Understand data modeling and visualization to perform efficient statistical analysis with this guide. Get well versed with techniques such as regression, clustering, classification, support vector machines and much more to learn the fundamentals of modern statistics. Who This Book Is For If you want to have a brief understanding of the nature of data and perform advanced statistical analysis using both R and Python, then this book is what you need. No prior knowledge is required. Aspiring data scientist, R users trying to learn Python and vice versa What You Will Learn Learn the nature of data through software with preliminary concepts right away in R Read data from various sources and export the R output to other software Perform effective data visualization with the nature of variables and rich alternative options Do exploratory data analysis for useful first sight understanding building up to the right attitude towards effective inference Learn statistical inference through simulation combining the classical inference and modern computational power Delve deep into regression models such as linear and logistic for continuous and discrete regressands for forming the fundamentals of modern statistics Introduce yourself to CART – a machine learning tool which is very useful when the data has an intrinsic nonlinearity In Detail Statistical Analysis involves collecting and examining data to describe the nature of data that needs to be analyzed. It helps you explore the relation of data and build models to make better decisions. This book explores statistical concepts along with R and Python, which are well integrated from the word go. Almost every concept has an R code going with it which exemplifies the strength of R and applications. The R code and programs have been further strengthened with equivalent Python programs. Thus, you will first understand the data characteristics, descriptive statistics and the exploratory attitude, which will give you firm footing of data analysis. Statistical inference will complete the technical footing of statistical methods. Regression, linear, logistic modeling, and CART, builds the essential toolkit. This will help you complete complex problems in the real world. You will begin with a brief understanding of the nature of data and end with modern and advanced statistical models like CART. Every step is taken with DATA and R code, and further enhanced by Python. The data analysis journey begins with exploratory analysis, which is more than simple, descriptive, data summaries. You will then apply linear regression modeling, and end with logistic regression, CART, and spatial statistics. By the end of this book you will be able to apply your statistical learning in major domains at work or in your projects. Style and approach Developing better and smarter ways to analyze data. Making better decisions/future predictions. Learn how to explore, visualize and perform statistical analysis. Better and efficient statistical and computational methods. Perform practical examples to master your learning

How long is Statistical Application Development with R and Python?

Statistical Application Development with R and Python by Prabhanjan Narayanachar Tattar is 432 pages long, and a total of 108,864 words.

This makes it 146% the length of the average book. It also has 133% more words than the average book.

How Long Does it Take to Read Statistical Application Development with R and Python Aloud?

The average oral reading speed is 183 words per minute. This means it takes 9 hours and 54 minutes to read Statistical Application Development with R and Python aloud.

What Reading Level is Statistical Application Development with R and Python?

Statistical Application Development with R and Python 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 Statistical Application Development with R and Python?

Statistical Application Development with R and Python by Prabhanjan Narayanachar Tattar 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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