R Programming Course Syllabus

Introduction

If you are ready to unlock the power of R programming, just utilize our R programming course syllabus and learn more. Our R programming course content is designed in a way that it would elevate your data science skills to greater new heights. Our curriculum covers everything from basics of R to advanced data analytics concepts. Our course content would empower you with the skills and knowledge required to succeed in the field of data science. When you learn our syllabus from top to bottom, you can easily write complex programming structures, including loops and conditional statements. With our R programming course in Chennai, we help you unlock the full potential of R for data science and analytics. Come to us, with our curriculum, we boost your career aspects in the ever-changing field of data science.

R Programming Course Syllabus

R Introduction

• Overview of R Programming
• Downloading and installing
• Help of Function
• Viewing documentation
• General issues in R
• Package Management

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

Data Inputting in R

• Data Types
• Subsetting
• Writing data
• Reading from csv files
• Creating a vector and vector operation
• Initializing data frame
• Control structure
• Re-directing R Output

Data Visualization

• Creating bar chart and dot plot
• Creating histogram and box plot
• Plotting with base graphics
• Plotting and coloring in R

Basic Statistic

• Computing Basic Statistics
• Comparing means of two samples
• Testing a proportion
• Data Munging Basics

Functions and Programming in R

• Flow control: For loop
• If condition
• Debugging tools

 Data manipulation in R

• List Management
• Data Transformation
• Merging Data Frames
• Outlier Detection
• Combining multiple vectors

R an Database

• Performing queries
• RODBC and DBI Package
• Advanced Data handling
• Combined and restructuring data frames

Statistical Modelling in R

• Logical Regression
• Hierarchical Clustering PCA for Dimensionality Reduction

Conclusion

If you would like to take the first step towards becoming a data science expert, just delve deep into our R programming course syllabus that would unlock a world of career possibilities. With the help of our curriculum, you can easily gain hands-on experience through real exercises. Our course content will also equip you with the skills required to work effectively with data. You can supercharge your data science journey by enrolling in our R programming training in Chennai. With our expert training along with certification, you will become a pro in building your own functions and performing even complex data manipulations.