MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 ChGenre: eLearning | Language: English | Duration: 2 hours | Size: 1.03 GBApplied Statistics with RWhat you’ll learnApplied Statistics using RRequirementsFundamentals R programmingDescriptionThis is the bite size course to learn R Programming for Applied Statistics.

In CRISP DM data mining process, Applied Statistics is at the Data Understanding stage.

This course also covers Data processing, which is at the Data Preparation Stage.

You will need to know some R programming, and you can learn R programming from my “Create Your Calculator: Learn R Programming Basics Fast” course. You will learn R Programming for applied statistics and you will be ableYou can take the course as follows, and you can take a exam at EMHAcademy to get SVBook Certified Data Miner using R certificate :– Create Your Calculator: Learn R Programming Basics Fast (R Basics)– Applied Statistics using R with Data Processing (Data Understanding and Data Preparation)– Advanced Data Visualizations using R with Data Processing (Data Understanding and Data Preparation, in future)– Machine Learning with R (Modeling and Evaluation)ContentGetting StartedGetting Started 2Getting Started 3Data Mining ProcessRead Data setModeMedianMeanRangeRange 2Range 3IQRQunatilePopulation VarianceSample VarianceVarianceStandard DeviationNormal DistributionSkewness and KurtosisSummary() and Str()CorrelationCovarianceInferential Statistics TestsOne Sample T TestTwo Sample Unpaired T TestTwo Sample Unpaired T Test (Variance not Equal)Two Sample Paired T TestChi Square TestOne Way ANOVATwo Way ANOVAMANOVASimple Linear RegressionMultiple LInear RegressionData Processing: Select VariablesData Processing: Sort DataData Processing: Filter DataData Processing: Remove Missing Values and Remove DuplicatesReferences:This course is actually based on the Learn R for Applied Statistics book I have published at Apress.

Who this course is for:Beginner Data Scientist or Analyst interested in R programming