In a Q&A, Vincent Granville, executive data scientist and co-founder of Data Science Central, discusses how AI has changed the data science field and the ways in which it will continue to do so. The data science field has changed greatly with the advent of AI. Artificial intelligence has enabled the rise of citizen data scientists, the automation of data scientist's workloads, as well as the need for more skilled data scientists. Vincent Granville, co-founder of Data Science Central, a community and resource site for data specialists, expects to see an increase in AI and IoT in data science over the next few years, even as AI continues to change the data science field. In this Q&A, Granville discusses data science trends, the impact of AI and IoT on data scientists, how organizations and data scientists will have to adapt to increased data privacy regulations, and the evolution of AI. Data Science Central was acquired by TechTarget on March 4. Will an increase in citizen data scientists due to AI, as well as an increase of more formal data science education programs, help fix the so-called data scientist shortage?

I just read two articles that claim that Python is overtaking R for data science and machine learning. From user comments, I learned that R is still strong in certain tasks. I will survey what these tasks are. The first article by Vincent Granville from DSC uses proxy metrics (as opposed to asking the users). He uses statistics from Google Trends, Indeed job search terms, and Analytic Talent (DSC job database) to conclude that Python has overtaken R. One is led to ask if one group of users (say Python's) is a more active googler.

I just read two articles that claim that Python is overtaking R for data science and machine learning. From user comments, I learned that R is still strong in certain tasks. I will survey what these tasks are. The first article by Vincent Granville from DSC uses proxy metrics (as opposed to asking the users). He uses statistics from Google Trends, Indeed job search terms, and Analytic Talent (DSC job database) to conclude that Python has overtaken R. One is led to ask if one group of users (say Python's) is a more active googler.

I read two strangely similar articles last week. One was an article by Vincent Granville, entitled "The 8 worst predictive modeling techniques". The other was an article on Forbes entitled "America's 10 Best-Paying Jobs". What on Earth do these two articles have in common (other than both being lists)? A brief flick through the Forbes article reveals that it could almost as accurately have been entitled "America's Single Best Paying Job": because 9 out of the 10 jobs listed were in healthcare.