## Tools & Techniques Posts

Abhirami Sankar

September 9th, 2015

A Quick Introduction to Natural Language Processing

Need for Natural Language Processing (NLP) Significant growth in the volume and variety of data is due to the amount of unstructured text data—in fact, up to 8...

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Kafeel Basha

September 2nd, 2015

Correlation and Dependency. Aren’t They One and the Same?

For those starting out in analytics, it can be quite confusing to understand the underlying difference between the terms ‘Correlation’ an...

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Neha Shitut

August 10th, 2015

Data Misinterpretation: Why Faulty Conclusions and Bad Outcomes can Happen

There are three components required to make an expert business decision based on data : Statistical knowledge/ Quantitative aptitude ...

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Neha Shitut

July 30th, 2015

Sensitivity vs. Specificity in Logistic Regression

Logistic Regression is a statistical analytical technique which has a wide application in business. It is one of the most commonly used techniques having wide applicability especially in bui...

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Gunnvant Singh

July 20th, 2015

Quick Introduction to Leaflet Maps in R

R has been an all rounder. Be it the implementation of any esoteric statistical algorithm, any database technology or geo-spatial plotting, R has it all and every day new packages are being ...

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Kafeel Basha

July 13th, 2015

A quick video guide on how to perform a T-Test in SAS

Here is a short video blog from our faculty, Kafeel Basha on 'How to perform a T-Test in SAS'. It's short and interesting and tells you just what you need to know. Go on then, click on the link to start watching. ...

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Arokia Armel

July 10th, 2015

What Should You Learn: R or Python?

If you want to become a Data Scientist or Data Analyst, it’s imperative that you are develop expertise in both R and Python programming languages. However, which to learn first? Which one is more useful and relevant in the industry? If you are one ...

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Augusteen Peter

July 7th, 2015

Chebychev’s Inequality—An Interesting Way To Identify The Limit Of Probability

We generally investigate the probability of likely events for many an uncertain situation. Once we determine the chances of its occurrence, we then determine its frequency too, i.e., number of times or number of favourable cases and so on. ...

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Gunnvant Singh

June 22nd, 2015

Geospatial Visualizations- Extracting Data with lat-long Information From Shape Files

In our previous post The Wonderful World of Geospatial Visualizations Explained in 2 Minutes, we learnt how to download google ma...

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Augusteen Peter

June 19th, 2015

Empirical Procedures: Why we give the Q-Q Plot a Thumbs Up

Variables possess certain properties. These properties are commonly referred to as the characteristics of the variables. Many times the variables have identical properties. These identical properties take a mathematical form known as the pr...

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Gunnvant Singh

June 15th, 2015

The Wonderful World of Geospatial Visualizations Explained in 2 Minutes

R is very well known for its powerful visualization capabilities, and many powerful packages for visualization have been written like lattice and ggplot2(). Wouldn’t it be super cool to explore how we can use the ggplot2() and ggmap() packages to m...

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Kiran PV

June 10th, 2015

Weave Magic With Interactive Visualizations: Creating Polychart Using rCharts

In an earlier post we talked about How Upshot is Using Interactive Visualizations to Make Online News Fun an...

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