Data Science with R

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Data Science with R

The Data Science Certification with R has been designed to give you in-depth knowledge of the various data analytics techniques that can be performed using R.Mastering R language: The data science course provides an in-depth understanding of the R language, R-studio, and R packages. You will learn the various types of apply functions including DPYR, gain an understanding of data structure in R, and perform data visualizations using the various graphics available in R.Mastering advanced statistical concepts: The data science training course also includes various statistical concepts such as linear and logistic regression, cluster analysis and forecasting. You will also learn hypothesis testing.

Target Audience

IT professionals looking for a career switch into data science and analyticsSoftware developers looking for a career switch into data science and analyticsProfessionals working in data and business analyticsGraduates looking to build a career in analytics and data scienceAnyone with a genuine interest in the data science fieldExperienced professionals who would like to harness data science in their fields

Prerequisites

There are no prerequisites for this data science online training course. If you are new in the field of data science, this is the best course to start with.

Course Objectives

This data science training course will enable you to:Gain a foundational understanding of business analyticsInstall R, R-studio, and workspace setup, and learn about the various R packagesMaster R programming and understand how various statements are executed in RGain an in-depth understanding of data structure used in R and learn to import/export data in RDefine, understand and use the various apply functions and DPLYR functionsUnderstand and use the various graphics in R for data visualizationGain a basic understanding of various statistical conceptsUnderstand and use hypothesis testing method to drive business decisionsUnderstand and use linear, non-linear regression models, and classification techniques for data analysisLearn and use the various association rules and Apriori algorithmLearn and use clustering methods including K-means, DBSCAN, and hierarchical clustering  

Course Curriculum

Section 1: Data Science with R
Introduction to Business AnalyticsIntroduction to RR ProgrammingR Data StructureApply FunctionsData VisualizationIntroduction to StatisticsHypothesis TestingRegression AnalysisClassificationClusteringAssociation