In this course you will learn how to analyze data. #Statistic plays important role in terms of data analysis. Here you will get exposed to utilize and understand various statistical method to analyse data. Statistical Data Analysis - Part 2 :
The following topic has discussed in this course.
- Central tendency (mean and median) (0:00)
- Variance and standard deviation (7:10)
- Data dispersion (19:00)
- Standard error/confidence intervals (30:58)
- Significance testing (test choice) (41:17)
- Significance testing (p value) (50:29)
-the t test (1:00:21)
-the F test (1:12:29)
- ANOVA (1:20:31)
- Shapiro-Wilk test (1:32:51)
- Kolmogorov-Smirnov test (1:38:49)
-Mann-Whitney U test (1:43:22)
- Kruskal-Wallis test (1:51:10)
- Levene's Test (1:59:25)
- Categorical data (intro and test choice) (2:04:30)
- Exact binomial test/exact multinomial test (2:08:44)
- Fisher's exact test (2:21:45)
- Chi-squared test (2:29:00)
- Pearson product-moment correlation (2:35:42)
- Non-parametric correlation (2:47:22)
- Linear regression (2:47:44)
- ANCOVA (3:10:51)
-Logistic regression (3:20:58)
- Mahalanobis distance (3:32:17)
- Hotelling T2 test (3:43:44)
- MANOVA (3:51:40)
- Resampling methods (bootstrapping) (04:10:06)
- Resampling (two-sample tests) (4:10:45)
- Principal Component Analysis (4 :21:58)
- Non-Metric Multidimensional Scaling (NMDS) (4:37:33)
- Maximum likelihood estimation (4:49:00)
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== Attribution
Course Created by: Matthew E. Clapham
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License: Creative Commons Attribution license (reuse allowed)
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