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.

Humans produce more than 2.5 million terabytes of data every day. From social media use to scientific studies to financial transactions, every action that is digitally recorded is a piece of data that ...

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 ...

Shivanku Misra is an AI expert, currently serving as Vice President overseeing enterprise advanced analytics and AI initiatives at McKesson. In the rapidly evolving field of data science, the success ...

One example involved a system built by a summer intern for his own project work. The tool geolocates devices within a drawing set and links them to a digital twin of the facility. Instead of searching ...

Be a part of the climate solution using data and advanced technologies to inform decisions. Identify key patterns in temperature changes, water levels and species populations. Guide policy towards ...

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big draw for ...