Abstract:

Data Science skills are essential and highly sought in today’s world. Data is everywhere and is widely used in a decision making process. Most of the Data Science courses are offered at a Master Degree level. But some Data Science components might be introduced to students much earlier, not just at a college level, but at a high school level, too. In this poster we discuss how a Data Science component might enhance student learning process. Hands-On exercises on data visualization and simple statistical analysis can be incorporated into most of Natural Sciences as well as some Humanity Sciences courses.

We share ideas for designing course modules for data visualization and statistical analysis in R. This modules can be used in any course working with data. Exposing students to data science problems, coding in R, as well as applying simple statistical concepts will improve their critical thinking skills, help to see and understand better interdisciplinary connections and the role of technology in modern world.

Keywords:

Data Science, Data Visualization, Statistical Analysis, Interdisciplinary approach, Course design.