MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 ChGenre: eLearning | Language: English + .VTT | Duration: 6.5 hours | Size: 2.25 GBR Programming for Data Science & Data Analysis, Basic to Advanced in R, Data Visualization with GGplot2 and dplyr, tidyrWhat you’ll learnR Programming BasicsData Types, Vectors and Matrices in RData Frames and ListsWorking with FilesLogical Operators, Statements and LoopsFunctions and Core Concepts in RAdvanced R ProgrammingApply Function, Regular ExpressionsMath functions, Date and TimestampsData Manipulation and Data Cleaningdplyr Package, Pipe Operator and tidyr PackageRequirementsNo Prior Knowledge or Experience Needed, Only a Passion to Learn !DescriptionThis is a Comprehensive Course to Learn R Programming for Data science, Data Analysis, Machine Learning and Data Visualization !With this course you will learn R Programming from Very Beginning to Advanced Level Step by StepHere we will cover almost every topic that comes under R Programming umbrellaIn this course you will learn, ,1) R Programming Basics : Arithmetic in R, Variables in R, Data Types in R, Vectors in R, Vector Operations, Comparison Operators, Indexing and Slicing in Vectors2) Matrices in R : Creating A Matrix, Arithmetics in Matrix, Operations in Matrix, Indexing and Selection in Matrix, Factor Function3) Data Frames : Data Frame Basics, Indexing and Selection in Data Frames, Data Frame Operations4) Lists in R5) Working with Files : Working with CSV Files and Excel Files6) Core Programming Concepts in R : Logical Operators, if, else and else if statements, While loop, For loops, Functions in R7) Advanced R Programming : Built in Features, Apply Function, Regular Expressions, Math functions, Date and Timestamps8) Data Manipulation in R : dplyr Package, Pipe Operator, tidyr Package9) Data Visualization with ggplot2In summary, this course has been designed for all skill levels and even if you have no programming or statistical background you will be successful in this course!Regards,Vijay GadhaveWho this course is for:Students who want to start a career in the field of Data Science and Machine LearningProfessionals who want to start a new career in Data ScienceAnyone interested in becoming a Data Scientist