Duration: 15 hours (5 sessions, each 3 hours)
Audience: Data analysts, business professionals, researchers, and anyone interested in data mining and predictive analytics using R.
📌 Course Overview
What’s This Course About?
Unlock the power of data mining with R! This hands-on workshop will introduce you to the fundamentals of R programming, data wrangling, visualization, and predictive modeling. You will learn how to extract insights from data, make data-driven decisions, and apply machine learning techniques in real-world scenarios.
By the end of the course, you’ll be confident in using R to clean, analyze, and visualize data efficiently! 📊🚀
🎯 Course Goals:
✅ Understand R Programming – Learn R syntax, data structures, and key functions.
✅ Master Data Manipulation – Use libraries like dplyr
and tidyr
to clean and organize data.
✅ Visualize Insights – Create stunning data visualizations using ggplot2
.
✅ Apply Machine Learning – Use predictive modeling techniques for real-world applications.
✅ Work on a Mini-Project – Apply your skills to analyze and present data findings.
🛤️ Learning Path Visual
🔹 Session 1: Getting Started with R – Introduction to R, installation, syntax, and basic operations.
🔹 Session 2: Data Wrangling in R – Import, clean, and manipulate datasets using dplyr
and tidyr
.
🔹 Session 3: Data Visualization with ggplot2 – Create compelling charts, graphs, and dashboards.
🔹 Session 4: Introduction to Machine Learning in R – Explore regression, classification, and clustering techniques.
🔹 Session 5: Real-World Data Mining Project – Apply all skills learned in a hands-on data mining project.
Class reference : CCS/RDM
Form Updated on: 02/13/2025 (Version 1)
Last Modified on: 02/13/2025
Program Information
This program is updated in real-time to reflect the latest legislative and jurisprudential developments.
Course Features
- Lectures 6
- Quiz 0
- Duration 15 hours crash course with a minimum of 1 session a week.
- Skill level Beginner
- Language English
- Students 1
- Assessments Yes
Curriculum
- 1 Section
- 6 Lessons
- 15 Hours
- Course Curriculum6
- 1.1Session 1: Getting Started with R – Introduction to R, installation, syntax, and basic operations.
- 1.2Session 2: Data Wrangling in R – Import, clean, and manipulate datasets using dplyr and tidyr.
- 1.3Session 3: Data Visualization with ggplot2 – Create compelling charts, graphs, and dashboards.
- 1.4Session 4: Introduction to Machine Learning in R – Explore regression, classification, and clustering techniques.
- 1.5Session 5: Real-World Data Mining Project – Apply all skills learned in a hands-on data mining project.
- 1.6Pre-Course Quiz: Are You Ready for R: Data Mining Workshop?
Requirements
- B1
- Registration Deadline: Up to two weeks before the start of the training.
Features
- Teaching Methods Theory: 40% Practical Work: Serious games, role-playing, simulations
- Program Coordinator: Alexis André des Forges Instructor: Alexis André des Forges Contact Information Alexis André des Forges Email: linguistic.com@gmail.com
- Format In-person via video conferencing (Visio) Customization options available Minimum: 1 session per week
Target audiences
- Data analysts, business professionals, researchers, and anyone interested in data mining and predictive analytics using R.