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QUANTITATIVE TECHNIQUES FOR DATA SCIENCE: A COMPREHENSIVE GUIDE WITH R & PYTHON CODE

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Unlock the Power of Data with Quantitative Techniques and Practical Coding In "Quantitative Techniques for Data Science," you'll embark on a comprehensive journey through the essential mathematical and statistical methods crucial for data analysis. This guide goes beyond theory, providing hands-on coding examples in both R and Python, ensuring you're equipped with the practical skills needed in today's data-driven world. Key For example , discover how to rigorously assess the efficacy of pharmaceuticals with hypothesis testing, ensuring robust conclusions in drug development. Delve into macroeconomic forecasts, leveraging time series modeling to anticipate economic trends with precision. Learn the art of hedge fund portfolio allocation, optimizing investment strategies for maximum returns in the world of finance. Apply these techniques to a myriad of critical applications, from detecting fraudulent activities and precisely segmenting customer bases, to accurately predicting inflation rates and efficiently managing retail inventories. Don't miss out on this invaluable resource for any aspiring or established data scientist. "Quantitative Techniques for Data Science" will empower you to extract meaningful insights and drive informed decision-making in a data-rich world.

178 pages, Paperback

Published October 14, 2023

About the author

Mr Manas Pandey

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