Linkedin Learning – Statistics Foundations: Using Data Sets

Linkedin Learning – Statistics Foundations Using Data Sets-XQZT
English | Tutorial | Size: 613.01 MB

Go beyond the basics of statistics with practical example-based lessons to learn how data sets and statistics are used in the real world
Statistics are a core skill for many careers. Basic stats are critical for making decisions, discoveries, investments, and even predictions. But sometimes you need to move beyond the basics. This third course in the Statistics Foundations series gives you practical, example-based lessons on the intermediate skills associated with statistics: Samples and sampling, standard errors, confidence intervals, and hypothesis testing.

Eddie Davila takes a look at topics like sampling, random samples, sample sizes, sampling error, trustworthiness, the central unit theorem, confidence intervals, and hypothesis testing. This course is a must for those working in data science, business, and business analytics-or anyone who wants to go beyond means and medians and gain a deeper understanding of how statistics work in the real world.

Author: Eddie Davila
Duration: 1:41:06

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