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R has a steep learning curve . If you are one of those who have heard the Buzz around Data Science and has thought of Learning R ,but still not been able to do much , start going through “R” learning materials on this website. Install “R” , “R Studio” and just spend some time . It takes a while before you start getting connected and start using R for the Advantage that it provides .
Contact at info@instrovate.com , if you are looking for an Economical Instructor Based Online Training For R Programming that can get you connected to the Beautiful “R” world on a consistent basis before you start Flying !!!
Links to R Programming Learning Material on this website .
Start Your R Journey Today :
- R Installation
- R Studio Installation
- Getting Started with R – First Hands On
- Loading Iris Data Set In R
- R Packages
- dplyr package in R
- Common Functionalities in R
- Operators & Missing Value in R
- Coercion in R
- Data Structure in R
- Scatter Plot in R – Using mtcars dataset
- Using ggplot2 For Data Analytics in R – Diamond Dataset
- Control Structure in R – if , else , for , while , repeat , break , next , return
- Working with Time & Date in R Programming Language
- Regular Expression & Its Usage in R
- apply() Family in R
- User Defined Functions in R
- SQL In R
- How To Import Different Formats in R
- Chi Squared Test of Independence
- Correlation in R
- Spatial Visualization Using R – Part 1
- Spatial Visualization Using R – Part 2
- “ggpubr” package in R for Data Visualization
R Programming Training Course Content
Course 1: R Programming Workshop
Pre-requisite : None
This Course is for an Analytics Beginner with Little or No Programming Experience where in we go through all the R programming concepts step by step giving proper time and complete Hands on till the concept sticks .
This course creates the Foundation and is very important if you want to start your Analytical Journey and wants to do Machine learning / Statistical Computing using R in the near future.
All the time spent here really pays off as based on our personal experience in Data Science , just doing a Google Search and pasting the code in R Console can only give temporary happiness !!
- Introduction to R Programming
- R as a Calculator
- Understanding Vectors through use case
- Understanding Matrices through use case
- Understanding Factors through use case
- Understanding Data Frames through use case
- Understanding Lists through use cases
- Understanding Operators through use case
- Understanding Conditional Statements through use case
- Understanding Functions through use case
- Understanding Packages through use case
- Start Working on Dates & Time in R
- Setting up the Platform for Data Science through R Programming
- Step By Step Learning of How to Load External Data into R
- Using skills learned above for Data Pre Processing through R
- Data Cleansing Hands On
- Using dplyr package for Data Manipulation & Exploration
- Inner Join / Left Join / Right Join / Full Join / Semi Join – Joins In R using dplyr
- Data Visualization Overview using ggplot2
Course 2 : Machine Learning With R Programming
Pre-requisite : Course 1 (R Programming)
- Supervised vs Unsupervised ML
- Classification Vs Regression
- Linear Regression – Simple , Multiple in R
- Logistic Regression – Simple, Multiple in R
- Decision Trees
- Random Forest
- SVM
- Naive bayes
- K Nearest Neighbors ( KNN )
- Hierarchial Clustering
- K Means Clustering
- Market Basket Analysis
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