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Lecture 1 ( Introduction , Data Representation & Summarizing )
01:43:39
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Lecture 2 (Mean Median)
01:45:28
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Lecture 3 (Median : Histogram to Median)
01:47:34
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Lecture 4 (Outlier , Graph Related Problem)
02:34:13
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Lecture 5 ( Mean deviation ,Variance, SD, CV)
01:49:29
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Lecture 6 (Correlation & Regression)
01:37:39
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Lecture 7 (Moments, Skewness, Kurtosis)
53:26
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Lecture 8 ( Rank Correlation)
52:24