The purpose of this course is to share the methods, models and practices that can be applied within data science, to ensure that the data used in problem-solving is relevant and properly manipulated ...

Nvidia CEO Jensen Huang revived a decade-old debate last month when he said that modern data science (AI plus HPC) has become the fourth pillar of the scientific method. While some disagree with the ...

Researchers have developed a new method -- 'Pixel Approximate Entropy' -- that measures the complexity of a data visualization and can be used to develop easier to read visualizations. 'In fast-paced ...

What are the differences between gathering and analyzing quantitative and qualitative information? Better yet, how can you develop these skills and use this knowledge in a real-world job? Quantitative ...

We describe here the parallels in astronomy and earth science datasets, their analyses, and the opportunities for methodology transfer from astroinformatics to geoinformatics. Using example of ...

On May 20 th-21 st, Harvard Business School and IMS New Research Group will host the Data Science in a Digital World: Methodology, Organization, and Management (MOM) workshop. Following the success of ...

In 2021, data science is one of the most valuable areas of expertise you can have. According to a new study, 97% of top US execs said that data science was crucial to their bottom line. So, whatever ...

Big data refers to the astonishing amount of information that is created as a by-product of the growing digitization of our lives – our use of mobile phones, social networks, search engines, online ...

7 data science certifications to boost your resume and salary Your email has been sent IBM, Google, SAS, and Oracle offer online courses and exams to quantify data science skills and expertise with ...

As our economy, society and daily life become increasingly dependent on data, new college graduates entering the workforce need to have the skills to analyze data effectively and from multiple angles.