Transfers ToUC and CSUCal-GETC Area 2 · IGETC Area 2A · CSU GE Area B4DescriptionThis course examines fundamental concepts that are the building blocks for data science work, include gathering and summarizing data (descriptive statistics) and relationships between variables, probability techniques, and sampling distributions, hypothesis testing, chi-square, t-tests, analysis of variance, and predictive techniques to facilitate decision-making (inferential statistics). Students will study correlation and regression analyses such as linear models for data science and multivariate regression and the application of technology for statistical analysis including the interpretation of the relevance of the statistical findings to data science. The course will examine applications using data from disciplines including engineering, business, economics, natural and social sciences, psychology, health science, information technology, and education. There will be a hands-on approach to statistical analysis using Python and R.Usually HeldMon Wed 4:00pm–5:25pm, Mon Wed 5:35pm–6:25pm, Mon Wed 11:10am–12:35pm, Mon Wed 12:45pm–1:35pm 