Analytics Lab Malcolm Gladwell in his book ‘Outliers‘ says that it takes approximately 10,000 hours of training or practice for anybody to master a subject. There is nothing in the world that could beat hands-on practice for learning. Keeping this in mind let me start a new series on YOU CANalytics called ‘Analytics Lab’ where
In Conversation with.. Today we are starting a new series on YOU CANalytics called ‘in conversation with’. In this series we will talk to the leaders and experts of predictive analytics and big data to gain deeper insight into the field. Dr. Eric Siegel Our first guest for the series is Dr. Eric Siegel. Eric
One of the crucial decisions while doing data analysis is an appropriate choice of statistics software and language. In this article, I am going to analyze and help you choose the right data mining and statistics software for your purpose. I have used the following 12 software / languages (tools) with different levels of experience
Please read the disclaimer about the Free PDF Books in this article at the bottom R, an open-source statistical and data mining programming language, is slowly but surely catching up in its race with commercial software like SAS & SPSS. I believe R will eventually replace SAS as the language of choice for modeling and
Killer Dashboards Some time ago I came across an Excel based dashboard with around 45 tabs, and every tab had around 10 charts/ graphs /tables. That is roughly 450 figures and tables. I could only sympathize with the end audience of that dashboard. Unfortunately, almost every organization is deluged with meaningless reports and dashboards of
This is a continuation of the banking case study for the creation of application risk scorecards we have discussed in some previous articles. You could find the previous parts of the series at the following links (Part 1), (Part 2), (Part 3) and (Part 4). In this article, we will discuss the Population Stability Index (PSI),
This is a continuation of the banking case study for the creation of application risk scorecards that we have discussed in some previous articles. You can find the other parts of the series at the following links (Part 1), (Part 2), (Part 3), (Part 4), and (Part 6). Reject Inference is a topic that separates credit
Self Study: Probability and Bayesian Statistics An average 21-year-old with a college degree spends a little over 15000 hours in classroom lectures. This accounts for a roughly 8th portion of his / her active life on this planet. To me, this alone is a good enough reason to bring constant improvement in our education system.
The topic we are going to discuss today will fit into visual analytics and data visualization – 101. Though on the surface this is really simple, over the years I have seen many young and sometimes seasoned analysts make this mistake. Hence I feel it is apt for us to discussion the topic about appropriate
Monty Hall Problem Monty Hall is back, for one last time, to host the famous show from the 1960s ‘Let’s Make a Deal’. You are his final guest and the prize is really desirable – a red Ferrari 458 Italia. Monty is no generous host; he could be over 90 years old, but he is