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Statistics - A Full University Course on Data Science Basics

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MaggieN383
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Learn the essentials of statistics in this complete course. This course introduces the various methods used to collect, organize, summarize, interpret and reach conclusions about data. An emphasis is placed on demonstrating that statistics is more than mathematical calculations. By using examples gathered from real life, students learn to use statistical methods as analytical tools to develop generalizations and meaningful conclusions in their field of study.

ЁЯОе Course by Monika Wahi.
ЁЯФЧ These lectures are based on the textbook Understanding Basic Statistics, 6th Edition, by Brase & Brase, available here: https://www.amazon.com/Underst....anding-Basic-Statist
ЁЯФЧ Monika Wahi's LinkedIn Learning courses are here: https://www.linkedin.com/learn....ing/instructors/moni
ЁЯФЧ Visit Monika Wahi's web page here: http://www.dethwench.com/
ЁЯФЧ Monika Wahi's peer-reviewed articles listed here: https://scholar.google.com/citations?user=v3BDf1oAAAAJ&hl=en

тнРя╕П Course Contents тнРя╕П
тМия╕П (0:00:00) What is statistics
тМия╕П (0:33:34) Sampling
тМия╕П (1:21:20) Experimental design
тМия╕П (2:00:32) Randomization
тМия╕П (2:16:25) Frequency histogram and distribution
тМия╕П (2:35:58) Time series, bar and pie graphs
тМия╕П (3:10:10) Frequency table and stem-and-leaf
тМия╕П (3:39:41) Measures of central tendency
тМия╕П (4:11:56) Measure of variation
тМия╕П (4:58:35) Percentile and box-and-whisker plots
тМия╕П (5:24:58) Scatter diagrams and linear correlation
тМия╕П (6:39:54) Normal distribution and empirical rule
тМия╕П (7:05:39) Z-score and probabilities
тМия╕П (7:45:11) Sampling distributions and the central limit theorem

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