Oct 21 2014

Commonly asked interview puzzles – Part II

3switch and bulb

Most of the analysts love solving and asking puzzles. Some of the best analysts I know, have a glean in their eyes at mention of a difficult logical puzzle. While these puzzles are fun to solve in free time, they might look scary to other people facing them in an interview backdrop. As Tavish mentioned …

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Oct 20 2014

How does Artificial Neural Network (ANN) algorithm work? Simplified!

ANN

In the last article (click here), we briefly talked about basics of ANN technique. But before using the technique, an analyst must know, how does the technique really work? Even though the detailed derivation may not be required, one should know the framework of the algorithm. This knowledge serves well for multiple purposes: Firstly, it helps …

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Oct 17 2014

Introduction to SAS Macros – Functions

SAS-Macros

In last 2 articles, we looked at the basic concept of SAS Macros and how they become useful to accomplish repetitive tasks easily. We also looked at how SAS Macros can be used in iterative and conditional circumstances. Now, let’s understand use of some Macro functions to manipulate text, perform arithmetic operations and execute SAS …

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Oct 14 2014

Introduction to Artificial Neural Network : Simplified

simple relationships

Here is yet another algorithm used by the industry to scare ignorant freshers. The tag line for this algorithm is “It works in a way, similar to human brain.” The first time I started reading about the algorithm, I realized that even though brain functionality might be very complex, artificial neural network algorithm is not as …

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Oct 13 2014

Review – Post Graduate Program in Business Analytics from Great Lakes Institute of Management

Great Lakes Chennai

Recently, I spent half a day speaking about Insurance Analytics at Great Lakes Institute of Management on their Gurgaon campus. Interacting with students / working professionals wanting to create a career in Analytics has always fascinated me, and so did the interaction with this group. Since I get a lot of queries on this course, …

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Oct 10 2014

Introduction to k-nearest neighbors : Simplified

Model comparison

In four years of my career into analytics I have built more than 80% of classification models and just 15-20% regression models. These ratios can be more or less generalized throughout the industry. The reason of a bias towards classification models is that most analytical problem involves making a decision. For instance will a customer …

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Oct 08 2014

Introduction to SAS Macros – Conditional & Iterative statements

SAS Macro, %IF, %DO, SAS

In my previous article, we developed a basic understanding of SAS Macros and SAS Macro variables. We also looked at how macros can be used to simplify repetitive tasks. SAS macros provide us with the flexibility to use a piece of code multiple times by simply calling the macro. This flexibility can be exploited to reach …

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Oct 06 2014

Learning path & resources to start your data science (analytics) career today

first_step_importance

Marie said it correctly – the most difficult step in any process is the first step! Recently, we launched a list of various analytics trainings being offered across the globe and are still adding more trainings to it to make it more comprehensive. While we get the entire page up and ready for you, I thought let …

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Oct 03 2014

Support Vector Machine – Simplified

xyplot

The first time I heard the name “Support Vector Machine”, I felt, if the name itself sounds so complicated the formulation of the concept will be beyond my understanding. Luckily, I saw a few university lecture videos and realized how easy and effective this tool was. In this article, we will talk about how support …

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Oct 01 2014

Introduction to SAS Macros

SAS_Macro_1

A quick example: Let’s look at the following SAS program: Above SAS code is written to extract policy level details for 09-Sep-14 and let us say that the user needs to run this code on a daily basis after changing the date (at both the places) to current date. Thankfully, SAS – like any other …

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Sep 30 2014

An exciting update from us – hopefully a learning aid for you!

One of the most common queries, we receive through several forums is: Which is the best training for me? OR What is the right training to start / transition into an analytics role? OR I am confused between Trainings A & B, which one should I consider? You can have a glimpse of some of …

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Sep 29 2014

The case of lost customer centricity in your analysis!

bad-customer-service

Today’s article is different (but very important!). It will not tell you about techniques to perform cutting edge analytics! On the contrary, it is to emphasize the fact that at the end of the day, you are creating products / services for a customer out there. And until and unless your analysis / strategy / recommendation does …

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Sep 25 2014

Tutorial on Web scrapping, text mining and predictive modeling (a.k.a. Solution to AV Author identification challenge)

pic1

While working late in office, something very strange happened to me. I got a message from Google that I should leave office in next 5 minutes in case I wish to catch the movie, which I booked two days back. I was surprised because I never set up any kind of reminder or alarm on …

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Sep 23 2014

Data Munging in Python (using Pandas) – Baby steps in Python

Orange Shoes

Time flies by! I see Jenika (my daughter) running around in the entire house and my office now. She still slips and trips – but is now independent to explore the world and figure out new stuff on her own. I hope I would have been able to inspire similar confidence with use of Python …

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Sep 22 2014

How to automate your Excel models and reporting using dynamic Range?

Emp Code

About some time back, we hired a smart analyst in our team (let’s call him Sam). Sam’s role required him to create and maintain various financial & business models in Excel. He seemed to be on top of his game! Within 2 months of his joining, he had created 2 new models, both of them …

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