In examining the global market for Data Sciences and Data Analytics, the Indian analytic boutiques are making their presence felt. Pan-continental Analytic Boutiques with roots in India are thriving and reaching global standards and providing state-of-the-art services; be it advances in actual analysis or in terms of consultative roles. There is a plethora of Analytic […]
In my previous post, I explained the concept of linear regression using R. In this post, I will explain how to implement linear regression using Python. I am going to use a Python library called Scikit Learn to execute Linear Regression. Scikit-learn is a powerful Python module for machine learning and it comes with default […]
One of the most popular and frequently used techniques in statistics is linear regression where you predict a real-valued output based on an input value. Technically, linear regression is a statistical technique to analyze/predict the linear relationship between a dependent variable and one or more independent variables. Let’s say you want to predict the price […]
A business analytics professional? You mean a business analyst, right? NO. They are not the same. It’s okay. Many people get confused about these two terms. They are often used interchangeably. Companies and start-ups also seek out a business analyst, when they actually are looking for a business analytics professional. This causes confusion among analytics […]
Big data is everywhere today. Right from the shopping websites we use to buy our daily household necessities, to the programs used to track sales of an enterprise organization. But the penetration of big data is far and wide reaching. It wouldn’t be wrong to say, it’s out of this world, quite literally! NASA is […]
The World Economic Forum expects automation and Artificial Intelligence (AI), to result in the loss of at least 5 million jobs globally by 2020. Yes, machines are going to steal your jobs. It may sound like a scene from Terminator in which a robot may push you out of your office chair, but the reality […]
Twitter is a great source of information, and lets you quickly scan your feed and engage with content that intrigues you. Even though this eliminates a lot of unnecessary noise, you need to follow the right people, if you are on a constant lookout for great information. In no particular order, here are 13 data […]
Python has a unique combination of being both a capable general-purpose programming language as well as being easy to use for analytical and quantitative computing. Python, along with R, is one of the handiest tools in a data scientist’s arsenal. It’s also one of the simplest computer languages to learn and use, primarily because most […]
Data analyst and data scientist are some of the hottest buzzwords as of now, and often seem to be used interchangeably. There are subtle and considerable differences between the two, as we shall see. Here are some definitions of a data scientist on Twitter: This is even more skeptical: As can be clearly seen, the […]
2016 was an amazing year for data science, but the industry never slows down. We have hit the beginning of the year, so it’s time to start thinking about how the industry’s going to change in 2017, and how you can prepare accordingly. Data science is a field dominated by those with the foresight to […]
