Data Analysis with Open Source Tools
By: Philipp K. Janert
Product Details: Share this by email:
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...Read more
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 will 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 will experiment with concepts through hands-on workshops at the end of each chapter. Above all, you will 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 as scaling 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.
About the author: Philipp K. Janert
Recommended Books for you - See all
Rs. 990 Rs.980
You save: Rs.10
Vendor : Sunidhi Ventures Inc., Mumbai
FREE SHIPPING | Delivered in 5 working days
(Cash on delivery available)
Be assured. 7 days Return & Refund Policy.