{"id":364,"date":"2021-04-29T13:01:00","date_gmt":"2021-04-29T13:01:00","guid":{"rendered":"https:\/\/www.smilehook.com\/?p=364"},"modified":"2021-05-03T13:12:37","modified_gmt":"2021-05-03T13:12:37","slug":"5-data-science-trends-to-watch-out-for-in-2021","status":"publish","type":"post","link":"https:\/\/www.smilehook.com\/5-data-science-trends-to-watch-out-for-in-2021\/","title":{"rendered":"5 data science trends to watch out for in 2021"},"content":{"rendered":"\n

Data science has become a household name for people who are remotely tech savvy. With rapid developments in machine learning and AI driven analysis an increasing number of industries are investing and focusing on data science. The discipline of data science is characterized by two things right now, expanding applications and constant change. It is often hard to keep track of the evolution of the field. Hence, the necessity of looking into the trends is felt time and again.<\/p>\n\n\n\n

1.   The overhaul by Python<\/h2>\n\n\n\n

In 2019 Python took a lead on JavaScript in the number of questions on stack overflow. Now, it is the most used language by data analysts and far along in its way to becoming the most popular language in general.<\/p>