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Statistical Data Analysis for beginners: Descriptive a Inferential statistics, Hypothesis testing.
An excellent training about Data Science
Statistics for Data Analysis Using Excel
Get marketable data analytic skills in this course using Microsoft Excel. This course is about Statistics and Data Analysis. The course will teach you the basic concepts related to Statistics and Data Analysis, and help you in applying these concept. Various examples and data-sets are used to explain the application.I will explain the basic theory first, and then I will show you how to use Microsoft Excel to perform these calculations. Many tests covered, including different t tests, ANOVA, post hoc tests, correlation, and regression. Following areas of statistics are covered: Descriptive Statistics – Mean, Mode, MedianVariability – Standard Deviation, Variance, RangePopulation and SamplingProbability Distributions Hypothesis Testing – One Sample and Two Samples – z Test, t Test, p Test, F Test, Chi Square TestANOVA – Perform Analysis of Variance (ANOVA) step by step doing manual calculation and by MS Excel. Learning Objectives: Explain how to calculate simple probability. Review the Excel statistical formulas for finding mean, median, and mode. Differentiate statistical nomenclature when calculating variance. Identify components when graphing frequency polygons. Explain how t-distributions operate. Describe the process of determining a chi-square. Enroll in this course and obtain important marketable data analytic skills
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