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
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
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
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
There is a lot of exuberance about data science as a career choice among young professionals. This exuberance (for once) is not at all irrational because the field has tons of potential. I have been asked on many occasions by professionals considering a career change to data science and young graduates trying to start their careers in
Every data scientist knows that in any business analytics and data science exercise 70-80% of the time is consumed in data preparation and data preprocessing. This is usually considered a drudgery in comparison to the actual statistical modeling, machine learning, and business insights part. However, every good data scientist understands that data preparation is an art
Over the years in my career in data science and predictive analytics, I have noticed some awful practices that young and sometimes seasoned analysts follow. These bad practices, I believe, throw careers of these data scientists on a collision course similar to the Titanic. I will present the six worst mistakes that I feel are at the
Please read the disclaimer about the Free PDF Books in this article at the bottom The one thing they love more than a hero is to see a hero fail, fall, die trying. In spite of everything you’ve done for them, eventually, they will hate you [Spider-Man]. – Green Goblin / Norman Osborn Batman v
This article is an effort to make you into a “semi-expert” in artificial intelligence, cognitive computing, deep learning and neural networks from scratch. Here I will share a few cool learning resources for these topics. These resources include documentaries, TED talks, online lecture videos, and books. There are several videos and online books included in
A couple of weeks ago I was at two different business schools as a guest speaker. Both ISB, Hyderabad, and MISB Bocconi have specialized programs in business analytics and data science for working professionals. I gave talks about ‘career in data science & industry’s expectations from data scientists’. I got the opportunity to speak to more