You don't have to spend a fortune and study for years to start working with big data, analytics, and artificial intelligence. Demand for "armchair data scientists" – those without formal ...

We will begin from the basics of the Python programming language and learn the key tools and libraries within Python needed to solve industry problems in data science. The course will include data ...

Foundations of Algebra emphasizes computing with whole numbers and fractions, decimals, and integers; solving word problems with whole numbers, fractions, decimals and integers; solving basic linear ...

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 ...

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.

"I've had an enticing experience at UB while pursuing my masters in data science. The entire course structure is well organized to be completed in one year. The professors and TAs are supportive and ...

While the tech sector has made tremendous advancements in the 21st century, its workforce has not yet reflected the diversity of the customer base that it purports to serve. The factors behind the ...

The Department of Applied Mathematics offers Bachelor of Arts and Bachelor of Science degrees in Statistics and Data Science through the College of Arts and Sciences. The BA degree is designed with an ...

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.

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 ...

The ability to deeply analyze large and complex data sets is, and will continue to be, a valuable skill in industry, government and nonprofit sectors. The volume of data being collected and needing ...