Beginners should undertake data science projects as they provide practical experience and help in the application of theoretical concepts learned in courses, building a portfolio and enhancing skills.

In this special guest feature, Afrozy Ara, Head of Data Science practice at Incedo, suggests that given the difficulty in running a successful data science project, there are some specific reasons why ...

Much of the broader business world is struggle to answer the question: What does data science mean to our business? Lots of money has been spent on technology, consulting, with mixed results. Often ...

The Johns Hopkins Data Science and AI Institute announces the launch of the Demonstration Projects funding program, aimed at accelerating the development and deployment of data science (DS) and ...

“Data-Driven Thinking” is written by members of the media community and contains fresh ideas on the digital revolution in media. Today’s column is written by Ellen Houston, managing director of ...

Data science startup RapidCanvas Inc. today announced that it closed a $16 million funding round led by Peak XV,. Titanium Ventures, Accel and Valley Capital Partners also contributed to the ...

Data science has boomed over the past decade, following advances in mathematics, computing capability and data storage. Australia’s Industry 4.0 taskforce is busy exploring ways to improve the ...

Built upon the success and power of D2iQ DC/OS for Fast Data Services, DSEngine delivers a holistic approach to data science environments. While your data science teams deliver great value, they can ...

This course focuses on developing the foundational skills of a modern data scientist including data cleaning, wrangling, visualization, and communication. Students will actively engage with R and ...