playlistduration

MIT 14.310x Data Analysis for Social Scientists, Spring 2023

by MIT OpenCourseWare · 23 videos

Total watch time

1d 3h 55m

at 1× speed · exactly 1 day, 3 hours, 54 minutes, 59 seconds at 1×

1×1d 3h 54m 59s
1.25×22h 19m 59s
1.5×18h 36m 39s
1.75×15h 57m 8s
2×13h 57m 30s
Average video1h 12m 50s
Longest1h 23m 54s
Shortest41m
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Videos (23)

1d 3h 55m in total · tick what you've watched

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1 Lecture 01: Introduction to 14.310x Data Analysis for Social Scientists 1:00:43 2024-02-20
2 Lecture 02: Fundamentals of Probability 1:07:55 2024-02-20
3 Lecture 03: Random Variables, Distributions, and Joint Distributions 1:12:09 2024-02-20
4 Lecture 04: Gathering and Collecting Data 1:23:54 2024-02-20
5 Lecture 05: Summarizing and Describing Data 1:08:46 2024-02-20
6 Lecture 06: Joint, Marginal, and Conditional Distributions 59:17 2024-02-20
7 Lecture 07: Functions of Random Variables 1:20:15 2024-02-20
8 Lecture 08: Moments of Distribution 1:18:52 2024-02-20
9 Lecture 09: Expectation, Variance, and Introduction to Regression 1:08:28 2024-02-20
10 Lecture 10: Special Distributions 1:15:28 2024-02-20
11 Lecture 11: Special Distributions, continued. The Sample Mean, Central Limit Theorem, and Estimation 1:13:44 2024-02-20
12 Lecture 12: Assessing and Deriving Estimators 1:06:54 2024-02-20
13 Lecture 13. Confidence Intervals, Hypothesis Testing, and Power Calculations 1:16:16 2024-02-20
14 Lecture 14: Causality 1:15:58 2024-02-20
15 Lecture 15: Analyzing Randomized Experiments 1:19:26 2024-02-20
16 Lecture 16: (More) Explanatory Data Analysis: Nonparametric Comparisons and Regressions 1:22:58 2024-02-20
17 Lecture 17: The Linear Model 1:20:25 2024-02-20
18 Lecture 18: The Multivariate Model 41:00 2024-02-20
19 Lecture 19: Practical Issues in Running Regressions 1:20:03 2024-02-20
20 Lecture 20: Omitted Variable Bias 1:20:25 2024-02-20
21 Lecture 21: Endogeneity and Instrument Variables 1:09:22 2024-02-20
22 Lecture 22: Experimental Design 1:10:39 2024-02-20
23 Lecture 23: Visualizing Data 1:22:02 2024-02-20

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