Statistical data analysis Statistical Data Science Part 1

YOUR LINK HERE:

http://youtube.com/watch?v=dVEdViOurR0

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)

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