Sep 17 2014

Commonly asked puzzles in analytics interviews

The earlier you land up to the industry which interests you, the better it is for your carrer. I landed up into analytics industry by chance. When I joined my first firm, I was aware what analytics means, but did not really know how big is the opportunity to grow in this industry. Now, I …

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Sep 16 2014

How do I become a data scientist (or business analyst)?


Last week, I shared a framework to help you answer the question, “Should I become a data scientist (or business analyst)?“. For the people, who clear the cut-offs, the next obvious question is “How do I become a data scientist?” In this article, I’ll share what I would have done, if I was starting my …

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Sep 15 2014

Forum mining challenge – Get the right questions!

forum discussions

Analytics community is relatively small but very vocal on the web world. We subscribe to various Linkedin groups, Facebook groups and other websites to be aware of all that is going on in the industry. For instance, Stack overflow has more than 8 million questions asked till date. (Source: . The problem statement we …

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Sep 12 2014

How to implement Incremental Load in QlikView?

Incremental Load, QlikView, QVD, Optimize Qlikview

In my previous article, we discussed “How to use QVDs to make your QlikView application more efficient?”. In this article, we will go one step ahead to make our application more efficient while dealing with large transactional data. As discussed in my previous article I was working on a QlikView application, where I had to show the …

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Sep 10 2014

Test your level of expertise with SAS/R/Python


Currently R, SAS and Python are the three languages ruling the analytics industry. Expertise in at least one of the three language is a must to build a competitive profile. But mastering only one language might not make you a hot selling property. Even if you are not an expert in each of the three …

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Sep 09 2014

Should I become a data scientist (or a business analyst)?


One of the common queries I come across repeatedly across several forums is “Should I become a data scientist (or an analyst)?” The query takes various forms and factors, but here is a common real life anecdote: “I have been doing Sales for multiple BFSI giants for last 3 years, but I have stopped enjoying my …

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Sep 04 2014

Framework to build a niche dictionary for text mining

Having the right dictionary is at the heart of any text mining analysis. Dictionary for text mining can be compared to maps while travelling in a new city. The more precise and accurate maps you use, the faster you reach to the destination. On the other hand, a wrong or incomplete map can end up …

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Sep 02 2014

Mining YouTube using Python & performing social media analysis (on ALS ice bucket challenge)

google ALS searches

If you are someone like me, you would have been swamped by the constant feed of people pouring ice buckets over them – but you still watch that next video in the feed, just to see how the person reacted to the icy shock! Yes! you are right – I am talking about the ALS …

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Aug 27 2014

Understanding and analyzing the hidden structures of unstructured dataset


The key to using unstructured data set is to identify the hidden structures in the data set. This enables us to convert it to a structured and more usable format.In previous article (previous article on text mining ) we discussed the framework to use unstructured data set in predictive or descriptive modelling. In this article we …

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Aug 26 2014

How to use QVDs (QlikView Data files) to make your Qlikview application efficient?


In June 2013, I had been using QlikView for about a year. During those days, I was working on a QlikView project where I had to show the sales number across various channels for various periods (e.g. Daily, Monthly, Yearly) and in comparison with last year. I had two transactional tables, three mapping tables (available …

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Aug 25 2014

How to use big data to profit from the stock market?


I have to admit I am avid believer that everyone should invest in the stock market. We are in the age of online discount brokerages and super fast connections for both wireless and wired. Combine that with companies taking away pension plans and allowing employees to manage 401K’s and more people working a contract basis …

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Aug 19 2014

Step by step guide to extract insights from free text (unstructured data)


Text Mining is one of the most complex analysis in the industry of analytics. The reason for this is that, while doing text mining, we deal with unstructured data. We do not have clearly defined observation and variables (rows and columns). Hence, for doing any kind of analytics, you need to first convert this unstructured …

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Aug 18 2014

Market mix modeling – Simplified!

deepak rk

US market spends on an average more than $140 Billion on just marketing every year. Provided that marketing is such an important component of the total expense by every company, it is very essential to know the actual benefit from these marketing campaign. But today, marketing is not done using a single channel. Every company …

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Aug 14 2014

Bring it on! Analytics Vidhya Author identification challenge


What is the best form of analytics learning? Applying it to practical problems! This is exactly what led us to create this interesting problem, solving which would be a lot of fun! The challenge should be a good combo of basic text mining and predictive modeling. If you haven’t got your hands dirty learning these …

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Aug 13 2014

How Big data & Analytics can help Government agencies run better?

shiva baba

Over the past decade or so, analytics has undergone a rapid transformation. During its initial stages, analytics was used more as a reactionary measure i.e., to observe the business trends of the past. So, there was a significant time lapse between the pain points and the corresponding course correction. But over the years, analytics bridged …

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