Recent ProfessorsNot yet assignedRecent SemestersNo scheduled sections on recordClass SizeNot publishedCredits4PrerequisiteMATH 141 C or MATH 141 PC or STAT C1000 (MATH 120 C) or MATH 120PC or MATH 126 C , or their equivalents, with a grade of C or better, or by the evaluation of the college's multiple measures placement process Transfers ToCSUCSU GE Area B4DescriptionProof of prerequisites is required. Note: Students majoring in Engineering, Science or Math should be taking MATH 141 C or MATH 141PC rather than STAC C1000 (MATH 120 C) or MATH 120PC or MATH 126 C . This course is an introduction to foundations of data science. Topics include data collection, data wrangling, exploratory analysis and visualization, introduction to statistical modeling, prediction and classification, and model outcome interpretations. Applications include real data from a wide range of fields following reproducible practice. Students will use computer software for statistical analysis of various topics. This course requires the use of the software R and Rstudio. (CSU/UC, AA GE) 