Introduction to Statistics and Data Analysis with SAS | Data Science Online Course by Udemy

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The complete data analysis program using SAS

An excellent training about Data Science

Introduction to Statistics and Data Analysis with SAS

It has been more than 2 decades since the arrival of SAS in the market. Since then, it has become an industry leader for providing unmatched business intelligence software. Undoubtedly, today, SAS is the most popular & widely used tool for commercial analytics having powerful statistical features. You can even generate meaningful insights from the most complex data without any hassle. Despite all its popularity & usefulness, SAS remains new for many. Its right knowledge can literally help anyone to leverage data to generate advanced analytics helping numerous organisations from almost any industry. To help people learn SAS, we have created this SAS online course fir statistics & data analysis. With this online course, you can easily implement all the concepts associated with it using SAS Studio Software for an upcoming project. Why This Course Is Unique?With this course, you will learn to work with SAS from scratch for your upcoming projects. In order to simplify all the concepts, this course is divided into 2 parts comprising of different sections. In the 1st part, you will mostly learn about the data, wherein, the more advanced concepts are covered in the 2nd part. The later half of this course will teach you about the probability, statistical inference, creating or interpreting linear regression & ANOVA models. Upon completion, you will have a complete understanding of graphical & numerical methods for describing data, basic probability distributions, methods for describing bivariate data, basic probability concepts, significance tests, hypothesis testing, linear regression, and analysis of variance. This Course Includes: Introduction to dataPopulation & sample, variable types, sources of biasData stimulation in SAS & calculation margin of errorBar charts, histograms, box plots, Q-Q plotsRelationship between mean, median, skewness, and standard deviationsUnderstanding bivariate data setsProbability: Distributions and thinking about the chanceInference: Hypothesis Testing and Statistical SignificanceModeling: Linear regression and analysis of varianceA project involving univariate and bivariate analyses, linear modelLearn SAS from scratch to experience the power of advanced analytics for your next project!

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