How Long to Read Data Analysis with Open Source Tools

How Long Does it Take to Read Data Analysis with Open Source Tools?

It takes the average reader 9 hours to read Data Analysis with Open Source Tools by Philipp K. Janert

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

Description

Collecting data is relatively easy, but turning raw information into something useful requires that you know how to extract precisely what you need. With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You'll learn how to look at data to discover what it contains, how to capture those ideas in conceptual models, and then feed your understanding back into the organization through business plans, metrics dashboards, and other applications. Along the way, you'll experiment with concepts through hands-on workshops at the end of each chapter. Above all, you'll learn how to think about the results you want to achieve -- rather than rely on tools to think for you. Use graphics to describe data with one, two, or dozens of variables Develop conceptual models using back-of-the-envelope calculations, as well asscaling and probability arguments Mine data with computationally intensive methods such as simulation and clustering Make your conclusions understandable through reports, dashboards, and other metrics programs Understand financial calculations, including the time-value of money Use dimensionality reduction techniques or predictive analytics to conquer challenging data analysis situations Become familiar with different open source programming environments for data analysis "Finally, a concise reference for understanding how to conquer piles of data."--Austin King, Senior Web Developer, Mozilla "An indispensable text for aspiring data scientists."--Michael E. Driscoll, CEO/Founder, Dataspora

How long is Data Analysis with Open Source Tools?

Data Analysis with Open Source Tools by Philipp K. Janert is 540 pages long, and a total of 135,000 words.

This makes it 182% the length of the average book. It also has 165% more words than the average book.

How Long Does it Take to Read Data Analysis with Open Source Tools Aloud?

The average oral reading speed is 183 words per minute. This means it takes 12 hours and 17 minutes to read Data Analysis with Open Source Tools aloud.

What Reading Level is Data Analysis with Open Source Tools?

Data Analysis with Open Source Tools 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 Analysis with Open Source Tools?

Data Analysis with Open Source Tools by Philipp K. Janert 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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