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2nd December 2015, 03:00 PM
Super Moderator
 
Join Date: May 2012
Re: Statistics Training Online

Coursera provides universal access to the world’s best education, partnering with top universities and organizations to offer courses online.

Statistics One is designed for introduction to fundamental concepts in statistics.

Course Syllabus
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: Central limit theorem
• Lecture 10: Confidence intervals
• Lecture 11: Multiple regression
• Lecture 12: Multiple regression continued
• 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 and summary statistics
• Lab 3: Scatterplots and correlations
• 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)


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