Introduction to Data Analysis and Regression
Requisites: one course from course 10, 12, 13, 15, Economics 41, or Psychology 100A, or score of 4 or higher on Advanced Placement Statistics Examination, and course 20.
Unlocks in every department▾ 28 courses across 5 departments, 10 choice points · 19 requisite links run off the edge of this view
STATS 101A — Introduction to Data Analysis and Regression STATS 101A Introduction to Data A… 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 20 — Introduction to Statistical Programming with R STATS 20 Introduction to Statis… 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 141XP — Practice of Data Science STATS 141XP Practice of Data Scien… STATS 143 — Introduction to Research in Statistics STATS 143 Introduction to Resear… STATS 153 — Hierarchical Linear Modeling STATS 153 Hierarchical Linear Mo… STATS C173 — Applied Geostatistics STATS C173 Applied Geostatistics 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 184 — Societal Impacts of Data STATS 184 Societal Impacts of Da… STATS C216 — Applied Bayesian Social Statistics STATS C216 Applied Bayesian Socia… STATS C151 — Experimental Design STATS C151 Experimental Design STATS C160 — Causal Inference for Health Data STATS C160 Causal Inference for H… STATS 170 — Introduction to Time-Series Analysis STATS 170 Introduction to Time-S… Also satisfied by MATH 156, 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 Also satisfied by STATS 100C, not drawn in this view. one of +1 Also satisfied by MATH 156, not drawn in this view. one of +1 one of one of Also satisfied by STATS 21, COMPTNG 16A, not drawn in this view. one of +2 Also satisfied by STATS 100C, not drawn in this view. one of +1 one of click a course to read it · double-click to redraw the map around it