This course provides an introduction to what data science is, its applications, uses, and various types of related tasks. The courses provide a general idea of data exploration, statistical analysis, machine learning, data visualization, among other steps present in the data science cycle. The methodologies (theoretical and/or practical aspects) of data science projects will be introduced. Students will gain hands-on familiarity with common data science tools particularly Python and SQL through real data science cases studies. The purpose of the course is that students get introduced to most common aspects of Data Science that will be covered more in-depth in future courses. Prerequisite: At least one 12U mathematics course or OAC in mathematics is recommended.
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