R Programming Training Syllabus

Empower your data science skills with our industry-relevant R Programming Course Syllabus and prepare yourself for new-gen analytics jobs. Learn how to predict outcomes accurately through R Programming Course Curriculum as it covers important concepts such as Introduction to R, Data Manipulation Techniques with R, Statistical Application with R, and Probability and Distributions with R Programming. Get enhanced knowledge required for top companies through our R Programming Training Course in Chennai at SLA Institute.

Essential To R Programming

Introduction To The R Language
Programming Statistical Graphics
Programming With R
Simulation
Computational Linear Algebra
Numerical Optimization

Data Manipulation Techniques Using R Programming

Data In R
Reading And Writing Data
R And Databases
Dates
Factors
Subscribing
Character Manipulation
Data Aggregation
Reshaping Data

Statistical Applications Using R Programming

Basics
The R Environment
Probability And Distributions
Descriptive Statistics And Graphics
One- And Two-Sample Tests
Regression And Correlation
Analysis Of Variance And The Kruskal–Wallis Test
Tabular Data
Power And The Computation Of Sample Size
Advanced Data Handling
Multiple Regression
Linear Models
Logistic Regression
Survival Analysis
Rates And Poisson Regression
Nonlinear Curve Fitting

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Conclusion

Become a master in data analytics and application developments through our R Programming Training in Chennai. Book a free demo class to check out our R Programming Course Curriculum.