All Posts by Ani Rud

About the Author

Sep 11

Every Data Science Interview Boiled Down To Five Basic Questions

By Ani Rud | Interview Corner

Fastcompany
By Roger Huang

Data science interviews are daunting, complicated gauntlets for many. But despite the ways they’re evolving, the technical portion of the typical data science interview tends to be pretty predictable. The questions most candidates face usually cover behavior, mathematics, statistics, coding, and scenarios. However they differ in their particulars, those questions may be easier to answer if you can identify which bucket each one falls into. Here’s a breakdown, and what you can do to prepare.

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Jul 22

Biggest Impact of Predictive Analytics Is Here

By Ani Rud | Big Data Trends

big data making maximum impact

big data making maximum impact

Photo: Bigstockphoto
HBR
By Jacob LaRivierePreston McAfeeJustin RaoVijay K. NarayananWalter Sun

The author attempts to offer specific, real-world case studies to show how big data has provided value for companies that have worked with Microsoft’s analytics teams. These cases reveal the circumstances in which big data predictive analytics are likely to enable novel and high-value solutions, and the situations where the gains are likely to be minimal.

Starting with the use case for predicting demand for consumer products that are in the “long tail” of consumption, the authors discuss the role of big data in Improved pricing, predictive maintenance and radically new applications that are disrupting existing processes.
The author delves into economics and behavioral traits of customers to illustrate how using a single price can be economically inefficient based on the demand curve and how data can be used judicially for price adjustments that are form of experimentation, allowing firms to learn more about their customers’ price responsiveness.

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Jan 27

Infographic: 10 Must Read Free eBooks for Aspiring Data Scientists

By Ani Rud | Getting Started

For aspiring data scientists, it’s important to select the books wisely. A good book not only make the subject more interesting but makes the learning process enjoyable. I’ve selected a list of books for aspiring data scientists that will more or less cover all the important areas of Data Science curriculum. I’ve also included the links for free download here:

Think StatsRead/Download
Design and Analysis of ExperimentsRead/Download
Think PythonRead/Download
Exploratory Data Analysis with R: Read/Download
An Introduction to Statistical Learning: Read/Download
The Elements of Statistical Learning:Read/Download
Datascience handbook: Read/Download

Note: Some of these books are Pay As You Want (PAYW)

Infographics on free data science books for beginners

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