Introduction to Statistical Programming with R
Enforced requisite: one course from course 10, 12, 13, 15, Economics 41, or Psychology 100A, or score of 4 or higher on Advanced Placement Statistics Examination.
Unlocks in every department▾ 33 courses across 6 departments, 9 choice points · 24 requisite links run off the edge of this view
STATS 20 — Introduction to Statistical Programming with R STATS 20 Introduction to Statis… STATS 10 — Introduction to Statistical Reasoning STATS 10 Introduction to Statis… STATS 12 — Introduction to Statistical Methods for Geography and Environmental Studies STATS 12 Introduction to Statis… ECON 41 — Probability and Statistics for Economists ECON 41 Probability and Statis… MATH 31A — Differential and Integral Calculus MATH 31A Differential and Integ… MATH 1 — Precalculus MATH 1 Precalculus MATH 31B — Integration and Infinite Series MATH 31B Integration and Infini… STATS 13 — Introduction to Statistical Methods for Life and Health Sciences STATS 13 Introduction to Statis… STATS 15 — Introduction to Data Science STATS 15 Introduction to Data S… PSYCH 100A — Psychological Statistics PSYCH 100A Psychological Statisti… COMPTNG 10A — Introduction to Programming COMPTNG 10A Introduction to Progra… PSYCH 10 — Introductory Psychology PSYCH 10 Introductory Psychology STATS 21 — Python and Other Technologies for Data Science STATS 21 Python and Other Techn… STATS 152 — Environmental Statistics STATS 152 Environmental Statisti… STATS C160 — Causal Inference for Health Data STATS C160 Causal Inference for H… STATS C167 — Introduction to Databases STATS C167 Introduction to Databa… STATS C267 — Introduction to Databases STATS C267 Introduction to Databa… STATS 101A — Introduction to Data Analysis and Regression STATS 101A Introduction to Data A… STATS 101B — Introduction to Design and Analysis of Experiment STATS 101B Introduction to Design… STATS C116 — Applied Bayesian Social Statistics STATS C116 Applied Bayesian Socia… STATS 140XP — Collaboration in Data Science STATS 140XP Collaboration in Data… STATS 143 — Introduction to Research in Statistics STATS 143 Introduction to Resear… STATS 101C — Introduction to Statistical Models and Data Mining STATS 101C Introduction to Statis… STATS 133 — Introduction to Text Mining Using R STATS 133 Introduction to Text M… MATH M148 — Experience of Data Science MATH M148 Experience of Data Sci… STATS C151 — Experimental Design STATS C151 Experimental Design STATS 153 — Hierarchical Linear Modeling STATS 153 Hierarchical Linear Mo… MATH 42 — Introduction to Data-Driven Mathematical Modeling: Life, Universe, and Everything MATH 42 Introduction to Data-D… MATH 118 — Mathematical Methods of Data Theory MATH 118 Mathematical Methods o… STATS M148 — Experience of Data Science STATS M148 Experience of Data Sci… STATS 102A — Introduction to Computational Statistics STATS 102A Introduction to Comput… STATS 131 — Python and Other Technologies for Data Analysis STATS 131 Python and Other Techn… POL SCI M170X — Causality X POL SCI M170X Causality X one of Also satisfied by POL SCI 6, not drawn in this view. one of +1 Also satisfied by MATH 2, which UCLA names as a requisite but does not publish in this catalog. some of +1 one of one of Also satisfied by MATH 156, not drawn in this view. one of +1 Also satisfied by COMPTNG 16A, not drawn in this view. one of +1 one of one of click a course to read it · double-click to redraw the map around it