Coursera - Introduction to Probability and Data with R

[AD-TEAM]

754.3 MB | 00:12:20 | mp4 | 1280X720  | 16:9
Genre:eLearning |Language:English

Files Included :
01 introduction-to-statistics-with-r  (14.89 MB)
02 introduction  (13.67 MB)
03 data-basics  (21.18 MB)
04 observational-studies-experiments  (23.9 MB)
05 sampling-and-sources-of-bias  (24.11 MB)
06 experimental-design  (14.51 MB)
07 spotlight-random-sample-assignment  (8.88 MB)
02 visualizing-numerical-data  (37.48 MB)
03 measures-of-center  (19 MB)
04 measures-of-spread  (22.22 MB)
05 robust-statistics  (6.88 MB)
06 transforming-data  (12.79 MB)
02 exploring-categorical-variables  (34.77 MB)
03 introduction-to-inference  (58.5 MB)
02 introduction  (12.92 MB)
03 disjoint-events-general-addition-rule  (20.8 MB)
04 independence  (21.59 MB)
05 probability-examples  (14.99 MB)
06 spotlight-disjoint-vs-independent  (4.85 MB)
02 conditional-probability  (26.18 MB)
03 probability-trees  (23.05 MB)
04 bayesian-inference  (31.27 MB)
05 examples-of-bayesian-inference  (12.88 MB)
02 normal-distribution  (33.19 MB)
03 evaluating-the-normal-distribution  (5.87 MB)
04 working-with-the-normal-distribution  (11.78 MB)
02 binomial-distribution  (32.06 MB)
03 normal-approximation-to-binomial  (40.93 MB)
04 working-with-the-binomial-distribution  (15.41 MB)

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