Why do data science and analytics projects fail? At what stage of the project life-cycle are they most vulnerable to failure? Like any living creature, the probability of analytics projects to fail is the highest either in their infancy or at the final stages of their life cycle. A successful analytics project, like a successful
A few years ago, I did a day-long workshop on Statistical Thinking for a large German shipping & cargo company in Mumbai. During the Q&A session, the Vice President of operations asked a tricky question: what is a good sample size to achieve precision and accuracy for your analysis? He was looking for a one-size-fits-all answer and
Are you preparing for data science interviews? To help you in your preparation, in this article, I will discuss some of the worst mistakes candidates make in data science interviews. In the previous article, we discussed the structure of data science interviews along with sample questions and preparation strategy. Many times I have noticed that well-prepared
Are you preparing for a data science job interview? To help you, in this article I will explore some of the most common techniques used by data scientists to select their future colleagues. Additionally, I will also share many sample questions for data science job interviews and suggest a few strategies to prepare. Moreover, please post your
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
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
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
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
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
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