R Programming

What is R Programming?

• R is like a superhero for anyone who works with data, helping them crunch numbers, see patterns, and tell stories with data.
• R is open-source and highly extensible, with a vast ecosystem of packages contributed by users worldwide.

Why learn R Programming?

• In today's data-driven world, knowing R widens your job prospects, improves your analytical abilities, and gives you access to sophisticated tools for data analysis
• Learning R can enhance your resume and make you more competitive in the job market.

What do we Provide?

• We teach students how to use R for data manipulation, statistical analysis, and visualization, enabling them to work with real-world datasets and create detailed reports and interactive dashboards.

Syllabus

Module 1: Introduction to R+

• What is R ?
• Application and Need of R
• Setup and Installation
• Variables
• Operators
• Datatypes
• Loops

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Module 2: Data Structures +

• Vector
• List
• Matrices
• Arrays
• Data Frames
• Factors

Module 3: Data Manipulation +

• Basic Data Manipulation
• Using dplyr for Data Manipulation
• String Manipulation

Module 4: Data Visualization +

• Introduction to Data Visualization
• Data Visualization with ggplot2
• Advanced Data Visualization

Module 5: Graphics +

• Box plot
• Histogram
• Pareto charts
• Pie graph
• Line chart
• Scatterplot
• Developing graphs

Module 6: Statistics +

• Introduction to Statistics
• Data Set
• Min and Max
• Mean,Median,Mode
• Percentiles

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InfoStack Software Development, Training and Research Center, Solapur