Skill Test: You can test your statistics knowledge ( Test1 and Test2) We will re-visit these once we have done the next steps with the course from SAS. You can also refer Hypothesis Testing guide as quick reference material.Īssignment: The assignments after each chapter in the Udacity course should be done on Excel for now. If you already know them, you can skip this step. This course would make use of Excel to teach you all the basics of inferential statistics, hypothesis testing, t-test, ANOVA. Undergo the course on Inferential statistics from Udacity. If you need specific help, use SAS documentation. Your knowledge from the course on Base SAS should be sufficient to complete them. If you already know them, you can skip this step.Īssignment: The assignments after each chapter in the Udacity course should be done on SAS. This course would make use of Excel to teach you all the basics of descriptive statistics.
Udacity course on descriptive statistics from Udacity.
Statistics learning can be categorized into three categories This guide will serve as an exhaustive resource to acquaint yourself with the various aspects of Statistics used in Data Science Industry. Being in the field of Machine Learning and Data Science, it is paramount for a practitioner to be well versed with various statistical concepts. Statistics is the study of the collection, analysis, interpretation, presentation, and organisation of data.
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