DATA SCIENCE FOR MATHEMATICS TEACHERS

In the present digital age, we encounter a variety of practical data science applications in our day-today activities. Many such applications have their foundations in relatively elementary mathematical concepts. As a mathematics educator, you may wish to complement the national efforts in digitalisation by becoming more effective in motivating data science applications of the subject and facilitating authentic learning related to data science among mathematics learners. In this module, participants will be introduced to data science applications in such domains as commerce, education, finance, health and services, and the connections between the associated analytical techniques and topics in Mathematics will be elucidated. The topics include: functions, graphs, vectors, differentiation, probability, hypothesis testing, correlation and linear regression. Participants will also gain hands-on experience in data exploration and the development of a data-science deliverable for educational purposes.