Thursday, September 10, 2020

3 New Trends in Data Science Changing the Course: 2020

Data Science


Data science is increasing its harbor over the entire IT, corporate and commerce industry. It has become more than just putting logs of data. Data science programs in colleges are among the most enrolled degrees nowadays. There are hundreds and thousands of students who are graduating with this degree and getting a solid career ahead. A large number of students are even enrolling for data science masters degree so as to have more options open.

There are certain trends which have encouraged the developmental path of data science. These trends motivate the betterment and institutionalization of data science degree. Let's learn about the top trends responsible for the same.

AI driven systems

Artificial Intelligence or AI systems are really one of the biggest contributors in the development of data science as a discipline. With enhanced AI systems, data scientists are able to accentuate their work capabilities.

It is a step into the future and the developmental strata of the industry. These systems are bound to create real world industrial applications even more pragmatic with the due course of time. More input from more types of sensors is coming in. Design and development of a piece of machinery nowadays also involves constructing a complex cross - domain structure where performance optimization is related to optimizing the actions of the AI model running it.

Industrial average and obstacles to data quality are lifting

With the inculcation of this trend, more people (even those who are not data scientists) have access to knowledge and training based on Artificial Intelligence and also proponents of data science. 

Along with this, more and more data is being generated, and tools — such as automated labeling to curate large datasets — put domain experts (engineers) in a commanding position to classify noise signal into a collection of outcomes. The binary of becoming a data scientist is proving to be more prospects oriented and scope fulfilling.

Python Secures First place Again

Over the past few years it's been a struggle, with plenty of digital flame wars all along way, but it's pretty obvious that Python has advanced into the leading role in data science as the preferred language for data scientists.

It has become the first priority among data scientists. You would find that Python has become the go-to language most data scientists are reach out for and this has encouraged a new trend in the making.

Of course, there are more trends to come and for them to evolve as well. Keep an eye out!


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