Parul Gupta stood on stage, beaming with joy as a representative from Major League Hacking placed a pin on her. Though the ...

Prior to Willamette, she worked at Adobe and NVIDIA. Professor Kitada Smalley, Willamette’s Albaugh Assistant Professor of Statistics and Data Science, is an applied statistician with expertise in ...

He received his Ph.D. in Mathematical Statistics from Bowling Green State University (1977-1981) and BS in Applied Math from Soochow University in Taipei (1969-1973). Gang Shao is an assistant ...

The Statistics and Data Science concentration equips students to use data science to solve complex problems with data and drive important decision-making processes to add value to an organization.

In the rapidly evolving field of data science, the success of a team is not solely determined by its collective technical ...

Data science is currently lucrative and in high ... Our ranking methodologies use data from the National Center for Education Statistics, education providers, and reputable educational and ...

The Ph.D. in Data Science at William & Mary is offered as a specialization ... to this program will have a background in computer programming, probability and statistics. Most successful candidates ...

You can specialise either in the core areas of data science -- machine learning and artificial intelligence algorithms, data engineering and statistics -- or in its applications. This means that you ...

DataRes, UCLA’s largest student data science organization, facilitates professional project experience while nurturing a ...

M.S. in Artificial Intelligence M.S. in Computer Science with Data Science Concentration M.S. in Data Analytics M.S. in Statistics and Data Science Ph.D. in Applied Statistics “The students and ...

Research activities in the data science area are concerned with the development of machine learning and computational statistical methods, their theoretical foundations, and applications. Machine ...

Introduces concepts and skills fundamental to Data Science including: getting data, data wrangling, exploratory data analysis, basic statistics, data visualization, data modeling, and learning. The ...