Openness is one of the hallmarks of modern data science – openness of data, of code, and of methods. By sharing our successes and failures with others, we raise our collective intelligence […]
Today’s businesses are reconciling a dizzying amount of disparate data, forcing leaders to strategize on how to make sense of the surplus of information in front of them. Eager to transform a […]
Check out these Top Data Science Influencers This list of influencers was selected on the basis of their research work, social media influence, funding goals and achievements, and their association with startups […]
Our company is celebrating the second anniversary of one of our most successful programs, the IBM Data Science Elite Team. Since its launch, the team has grown from only five data scientists […]
In the world of data science, one must excel in data creativity, scepticism and communication. Interesting insights from data analysis will have to be shared with senior-level decision makers and key stakeholders […]
New data scientists are all faced with a hugely important question: should I learn Python or R? The question is so important because it takes many hundreds of hours to learn […]
Let’s say you’re interested in a career in data science, and you manage to land a job interview at a firm that wants your data-crunching expertise. What kind of questions will you […]
Every book in this collection of 25 books was either recommended to me by data science leaders, mentors, instructors or I got to them looking for help on a specific project. I […]
There’s no shortage of experts and opinions in the world of data and analytics. But the end of the year provides a nice forcing function to collect analyses and prognostications, then slice, […]
Companies all over the world across a wide variety of industries have been going through what people are calling a digital transformation. That is, businesses are taking traditional business processes such as […]
