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R Language Training in Hyderabad (Ameerpet)

Master Data Analysis and Visualization with R Programming
Openminds Technologies offers comprehensive R programming training for data science and statistical analysis. Designed for beginners and professionals alike, this course helps you gain proficiency in data manipulation, visualization, and machine learning using the R language.

Course Highlights

✅ Learn R syntax, data structures, and statistical modeling
✅ Hands-on experience with ggplot2, dplyr, caret, and Shiny
✅ Real-time projects in data science and analytics
✅ Ideal for Data Analysts, Statisticians, and ML Enthusiasts
✅ 100% Placement Assistance with interview preparation

Online R Language Training Hyderabad

  • In last 6 month 500 + students were trained 190+ placed by Openminds Technlogies.

  • Openminds Technologies provides the best Tableau certification training course in collaboration with industry experts with certified trainers.

  • Our trainers are certified Experts with min 5-10+ years of industry experience.

  • Not just live sessions, we help you get live practical exposure through our tasks & assignments.

  • We offer online classes, Classroom training & self paced recorded sessions.

What You Will Learn

  • Introduction to R and RStudio

  • Data Types, Vectors, Lists, Data Frames, and Matrices

  • Data Manipulation with dplyr and tidyr

  • Data Visualization with ggplot2

  • Statistical Analysis & Hypothesis Testing

  • Predictive Modeling using caret

  • Creating Dashboards using Shiny

  • Real-Time Analytics Projects and Use Cases

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SYLLABUS

  • What is R Programming?

  • Features and Applications of R

  • Installation of R and RStudio

  • RStudio Interface Overview

  • Basic Syntax and Data Types

  • Variables and Operators

  • Data Types: Numeric, Character, Logical

  • Data Structures:

    • Vectors

    • Lists

    • Matrices

    • Arrays

    • Data Frames

    • Factors

  • Conditional Statements: if, else, ifelse

  • Loops: for, while, repeat

  • Writing User-defined Functions

  • Scope of Variables

  • Apply Family Functions (apply, lapply, sapply, tapply)

  • Introduction to dplyr Package

  • Filtering, Selecting, Mutating, Arranging Data

  • Grouping and Summarizing Data

  • Data Merging and Joins

  • Handling Missing Values

  • Introduction to ggplot2 Package

  • Basic Graphs: Bar Charts, Histograms, Pie Charts

  • Scatter Plots and Line Graphs

  • Customizing Plots: Labels, Themes, Legends

  • Plotting Multiple Graphs Together

  • Descriptive Statistics (Mean, Median, Mode, Variance, SD)

  • Probability Distributions: Normal, Binomial, Poisson

  • Hypothesis Testing: t-test, Chi-Square Test

  • Correlation and Regression Analysis

  • Overview of Machine Learning

  • Supervised vs Unsupervised Learning

  • Building Simple Linear Regression Models

  • Building Classification Models (Logistic Regression, Decision Trees)