MIT OpenCourseWare
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5 Million Subscribers – An OCW Odyssey
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Navigating Open Licensing: Strategies for Access and Reuse
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Lecture 23: Visualizing Data
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Lecture 16: (More) Explanatory Data Analysis: Nonparametric Comparisons and Regressions
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Lecture 12: Assessing and Deriving Estimators
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Lecture 11: Special Distributions, continued. The Sample Mean, Central Limit Theorem, and Estimation
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Lecture 14: Causality
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Lecture 07: Functions of Random Variables
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Lecture 19: Practical Issues in Running Regressions
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Lecture 21: Endogeneity and Instrument Variables
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Lecture 02: Fundamentals of Probability
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Lecture 15: Analyzing Randomized Experiments
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Lecture 01: Introduction to 14.310x Data Analysis for Social Scientists
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Lecture 05: Summarizing and Describing Data
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Lecture 04: Gathering and Collecting Data
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Lecture 03: Random Variables, Distributions, and Joint Distributions
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Lecture 13. Confidence Intervals, Hypothesis Testing, and Power Calculations
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Lecture 20: Omitted Variable Bias
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Lecture 17: The Linear Model
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Lecture 08: Moments of Distribution
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Lecture 09: Expectation, Variance, and Introduction to Regression
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Lecture 06: Joint, Marginal, and Conditional Distributions
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Lecture 22: Experimental Design
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Lecture 10: Special Distributions
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Lecture 18: The Multivariate Model
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Lecture 18: Discrete Symmetries
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Lecture 9: Path Integral Formalism for QFT; Computation of Time-Ordered Correlation Functions
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Lecture 11: Computation of Correlation Functions in Perturbation Theory and Feynman Diagrams
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Lecture 13: Introducing the Dirac Equation
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Lecture 24: Elementary Processes in QED (I)
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