You will review the foundational mathematics that are critical in data science. Topics include algebra, calculus, linear algebra, and some pertinent numerical analysis. This specialization is also an ...

Computer analysis of data derived from research conducted in physical, social, and life sciences. Data preparation. Data modification, file manipulation, and descriptive statistics using SPSS.

Our graduates are in great demand in sectors such as banking, finance, accounting, data analysis, IT, consulting, insurance and research. Much of university level mathematics is concerned with formal ...

but to lay the groundwork for graduate work in elementary mathematics education. Specifically, we use an integrated approach to algebra that draws on real-world data to the extent possible. To this ...