November 24, 2021 2022-12-30 15:28
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.
