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. 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)