Statistics One
开始时间: 04/22/2022
持续时间: Unknown
课程主页: https://www.coursera.org/course/stats1
课程评论: 4 个评论
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课程简介
Statistics One is a comprehensive yet friendly introduction to statistics.
课程大纲
Lecture Topics
- Lecture 1: Experimental research
- Lecture 2: Correlational research
- Lecture 3: Variables and distributions
- Lecture 4: Summary statistics
- Lecture 5: Correlation
- Lecture 6: Measurement
- Lecture 7: Introduction to regression
- Lecture 8: Null Hypothesis Significance Tests (NHST)
- Lecture 9: Sampling
- Lecture 10: Central limit theorem
- Lecture 11: Multiple regression
- Lecture 12: The General Linear Model (GLM)
- Lecture 13: Moderation
- Lecture 14: Mediation
- Lecture 15: Group comparisons (t-tests)
- Lecture 16: Group comparisons (ANOVA)
- Lecture 17: Factorial ANOVA
- Lecture 18: Repeated measures ANOVA
- Lecture 19: Chi-square
- Lecture 20 Binary logistic regression
- Lecture 21: Assumptions revisited (correlation and regression)
- Lecture 22: Generalized Linear Model
- Lecture 23: Assumptions revisited (t-tests and ANOVA)
- Lecture 24: Non-parametrics (Mann-Whitney U, Kruskal-Wallis)
Lab Topics:
- Lab 1: Download and install R
- Lab 2: Histograms, box plots, and descriptives
- Lab 3: Scatterplots and correlation
- Lab 4: Regression
- Lab 5: Confidence intervals
- Lab 6: Multiple regression
- Lab 7: Moderation and mediation
- Lab 8: Group comparisons (t-tests, ANOVA, post-hoc tests)
- Lab 9: Factorial ANOVA
- Lab 10: Chi-square
- Lab 11: Non-linear regression (Binary logistic and Poisson)
- Lab 12: Non-parametrics (Mann-Whitney U and Kruskal-Wallis)
课程评论(4条)
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都柏林的老菲利普
2014-01-10 08:56
0 票支持; 0 票反对
不过整体上对于了解一下statistics和相关的应用还是很好的
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都柏林的老菲利普
2014-01-10 08:55
0 票支持; 0 票反对
Hypothesis testing那段的评论明显讲的有问题。
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申砾
2013-10-20 23:05
0 票支持; 0 票反对
教授讲的很清晰，有不少例子，一些基本概念也会详细讲解，学了之后对R语言也算是入门了。另外课程的forum很活跃，看大家的讨论也收获不少。
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宋鑫要学习
2013-10-12 13:41
0 票支持; 0 票反对
刚上了两次课，讲的都是很简单的概念，对想从事机器学习/数据挖掘而又缺乏统计知识的同学是个不错的选择。另外，这门课的lab用的是R语言，对想要入门R的同学也是一个不错的选择
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