R Training
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R Training Details
Prerequisites : Anyone can learn Web Designing and Development.
Level : Beginner (By the end of your course become a Professional)
Book Career Guidance at Meultech
R Training Developer Curriculum
Duration : __ Months
Batches : Weekend and Weekday Batches Available
Mode : Online and Offline
Certificate : Available after completing the course and projects.
Placement : Available
Module 1 Fundamentals of R
Installing R and RStudio, the RStudio Interface, Installing and Activating R Packages, Setting the Working Directory, Basic Operations in R, Working with Variables.Module 2Vectors
Creating vectors with the c() Function, Create Vectors Using the Colon Operator, Creating Vectors with the rep() Function, create vectors with the seq() Function, creating Vectors of Random numbers, create Empty vectors, indexing vectors with Numeric Indicies, Indexing vectors with Logical Indices, Naming Vector components, Filtering Vectors, the Functions all( ) and any(), Sum and product of vector components, vectorized operations, treating missing values in vectors, sorting vectors, minimum and maximum values, the ifelse() Function, Adding and Multiplying vectors, testing vector Equality, Vector correlationModule 3Matrices and Arrays
Creating Matrices with the matrix() Function, Create matrices with the rbind() and cbind() Function, Naming Matrix Rows and Columns, Indexing Matrices, Filtering Matrices, Editing values in matrices, adding and deleting rows and columns, minima and maxima in Matrices, Applying Functions to Matrices, Adding and Multiplying Matrices, Other Matrix Operations, Creating Multidimensional Arrays, Indexing Multidimensional ArraysModule 4Lists
Creating Lists with the list() Function, create Lists with the vector() Function, Indexing Lists with Brackets, Indexing Lists Using Object Names, Editing Values in Lists, Adding and Removing List Objects, Applying Functions to ListsModule 5Factors
Working with Factors, Splitting a vector By a Factor Levels, the tapply() Function, the by() FunctionModule 6Data Frames
Creating Data Frames, Loading Data Frames from external files, writing Data Frames in external files, indexing Data Frames as Lists, indexing Data Frames as Matrices, Selecting a Random Sample of Entries, Filtering Data Frames, Editing Values in Data Frames, Adding Rows and Columns to Data Frames, Naming Rows and Columns in Data Frames, Applying Functions to Data Frames, sorting Data Frames, shuffling Data Frames, merging Data Frames.Module 7Programming Structures
For Loops, While Loops, Repeat Loops, Nested For Loops, Conditional statements, nested conditional statements, loops and conditional statements, user defined functions, the return command, more complex functions examples, checking whether an integer is a perfect square, a custom function that solves quadratic equations, Binary Operations.Module 8Working with strings
Creating Strings, Printing Strings, concatenating Strings, String Manipulations, Functions for Finding patterns in strings, function for replacing patterns in strings, regular expressionsModule 9Plotting in Base R
Building Scatterplot Charts, Setting Graphical Parameters, Adding a Trend Line to a Scatterplot, Building a Clustered Scatterplot, Plotting a Line Chart, Setting the Line parameters, Over plotting Lines and Dots, Plotting Two Lines in the same chart, Plotting Bar charts, Setting the Bar Parameter, Plotting Histograms, Plotting Density Lines, How to plot Pie Charts, Plotting Box plot Charts, Plotting Functions, Exporting ChartsModule 10Apply Family
Introducing to the apply family, Tapply and the by command, Eapply, sapply, lapply, vapply, replicate, mapply, rapply and summary, apply family exercises, apply family solutions
Facts
Facts on R Training Course
199+
Students
Number of students enrolled in this Course
165+
Completed
Students who have completed the course
95%
Placed
Number of students who received a Job opportunity on completion of Course