Microsoft has some seriously powerful tools for data management, and they’re not as scary as they might seem. We learned this ourselves during our hands-on with the Complete Big Data & Power BI Bundle ...
The Statistical & Data Sciences (SDS) Program links faculty and students from across the college interested in learning things from data. At Smith, students learn statistics by doing—class time ...
There is a skills crisis in Big Data and data science. This is being driven by the increasing demand for people capable of generating insights and making accurate predictions, using the ...
The Department of Applied Mathematics offers a Bachelor of Arts degree in statistics and data science through the College of Arts and Sciences. The BA degree is designed with an emphasis on inter- and ...
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.
This course introduces the theoretical, philosophical, and mathematical foundations of Bayesian Statistical inference. Students will learn to apply this foundational knowledge to real-world data ...
The purpose of the course is to introduce the statistical methods that are critical in the performance analysis and selection of information systems and networks. It includes fundamental topics as ...
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 ...
Statistics is the science of learning from data. The theoretical foundation of statistics lies in probability theory, which is applied to decision-making under uncertainty. Data science consists of ...
ILS 23000, Data Science and Society: Ethical, Legal, Social Issues This course provides an introduction to Ethical, Legal, Social Issues (ELSI) in Data Science. Students will be introduced to ...
Next month, a panel of University of California professors in the sciences and math will give their recommendations on the contentious issue of how much math high school students should know before ...