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R Programming Course

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R Programming Course

  • 10+ Lessons
  • 100+ Studenst

R Programming at G-Tec Trichy

Master Statistical Computing & Data Analysis

Become proficient in R programming for data analysis, statistical modeling, and visualization. Our intensive program equips you with skills used by data scientists at top tech companies and research institutions.

Key Learning Outcomes

✔ Perform advanced statistical analysis in R
✔ Clean, transform, and visualize complex datasets
✔ Build predictive models and machine learning algorithms
✔ Create publication-quality data visualizations
✔ Automate reproducible data analysis workflows

Comprehensive Curriculum

Core R Programming

  • R syntax and data structures (vectors, factors, lists)

  • Data frames and tibbles (dplyr)

  • Functional programming in R

  • Control structures and loops

Data Wrangling & Visualization

  • Tidyverse ecosystem (dplyr, tidyr)

  • Data visualization with ggplot2

  • Handling missing data

  • Date/time manipulation (lubridate)

Statistical Computing

  • Descriptive statistics

  • Hypothesis testing (t-tests, ANOVA)

  • Regression analysis (linear, logistic)

  • Time series analysis

Advanced Applications

  • Machine learning with caret

  • R Markdown for reproducible research

  • Building interactive dashboards (Shiny)

  • Web scraping with R

Hands-On Projects

  1. Exploratory Data Analysis (COVID-19 Dataset)

  2. Customer Segmentation (Marketing Data)

  3. Predictive Model (House Price Prediction)

  4. Interactive Dashboard (Sales Analytics)

Who Should Enroll?

  • Aspiring data scientists and analysts

  • Researchers needing statistical computing skills

  • Business analysts transitioning to data roles

  • Academic professionals in quantitative fields

  • Marketing analysts working with customer data

Course Features

80+ Hours of practical R programming
Real-World Datasets from various domains
RStudio Cloud access included
Git Integration for version control
Career Support with portfolio reviews

Program Details

  • Duration: 10 Weeks (2.5 Months)

  • Prerequisites: Basic statistics knowledge

  • Format: Online + Live Coding Sessions

  • Certification: R Data Analyst Certificate

Career Pathways

  • Data Analyst

  • Business Intelligence Specialist

  • Research Scientist

  • Statistical Modeler

  • Quantitative Analyst

Mon-Sat 09:30 AM - 07:00 PM
Sunday Closed

FAQ

4-6 months (Weekend & Weekday batches available)

Basic Python knowledge is helpful, but beginners can join.

Yes, a globally recognized AI certification is provided

Yes, live online classes with recordings are available.

Course Details:

Course Price:

-

Instructor

Priya

Lesson Duration

12 Weeks

Lessons

45

Places for Students

100+

Language:

English, Tamil

Certifications

Digital, Physical

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