Learning Outcomes of R Programming
- Strong knowledge in R Programming Fundamentals.
- Master in R interactive environment.
- Hands-on Knowledge in creating pie charts, plot and vector.
- Real-time experience in creating visualizations and plots using R.
- Overall understanding of Data manipulation and linear regression implementation.
- Get a broad insight into analytics and acquire the skills in technique and methodologies.
Course Highlights of R Programming Training
- The best part of our R Programming training program were handled by the highly Experienced Professionals.
- Our R Programming Course is designed by the experts in the technology to meet the current industry standards.
- Live case study discussion, aspirants can relate to their respective field.
- Our R Programming Certification training which help fresher/Experienced to up-skill at corporate.
- Hands-on Practical Implementation-based training with Real time examples.
- After R Programming course completion, acquire the confidence to work in real-world industry project.
- Get Experience in Trending Technology - R programming and stand alone in the competitive world.
Course Features
- Duration60 hours
- Skill levelAll level
- Batch Strength15
- AssessmentsYes
- Mock InterviewsYes
- Resume BuildingYes
- PlacementsYes
- Flexible TimingYes
- Fee InstallmentsYes
- LanguageTamil/English
Section 1: Introduction to R Programming
- Basics of R Programming
- What is R Programming
- Why R Programming
- Benefits of R Programming
- Features of R Programming
- Setting the environment & Installation
Section 2: Beginning of R Programming Basics
- Data Types in R Programming
- Variables in R Programming
- Different types of Operators
- Control and Decision making Statements
- Basic String Manipulations in R Programming
- User functions in R
Section 3: Study about Data types and its structures
- Basics about Data Types in R Programming
- Different Types of Data Structures
- Vector
- Matrix
- List
- Data Frame and Factor
- Using the data structures in programming
Section 4: Overview of R Data Interfaces
- Different type of R Data Interfaces
- Reading, Analysing and Working with CSV File
- Working with Excel File – Verify & Load
- Reading and Writing in the Binary File – WriteBin() and ReadBin()
- Introduction to RMySQL Package
- Connecting R with MySQL – Creating Tables in MySQL
Section 5: Creating Charts and Graphs in R Programming
- Study about the R Programming libraries about Charts and Graphs
- R – Pie Charts, Bar Charts, Boxplots, Histograms, Line Graphs, Scatterplots
- Parameter explanation of each libraries
Section 6: Statistical Computing in R Programming
- Basics of Statistical Analysis in R Programming
- Mean, Median and mode of Statistical analysis
- Establishing a Linear Regression
- Multiple Regression – Creating relationship between two variables
- Logical Regression – Creating Regression Model
- Generating Normal Distribution
- Generating Binomial Distribution
- Poisson Regression – Mathematical Equation
- ANCOVA – Analysis of Covariance
- Time Series Analysis ts()
You will be going through detailed 2 to 3 months of R Programming Hands-on training
- Detailed instructor led sessions to help you become a proficient Expert in R Programming.
- Build a R Programming professional portfolio by working on hands on assignments and projects.
- Personalised mentorship from professionals working in leading companies.
- Lifetime access to downloadable R Programming course materials, interview questions and project resources.
Credo Systemz - Velachery, Chennai
Call Us +91 9884412301
