Unlock the power of R for Data Science and gain hands-on experience in data analysis, visualization, and statistical modelling. This course is designed to help students and professionals harness R’s capabilities for real-world data science applications.
What You’ll Learn:
Data Manipulation (dplyr, tidyr)
Exploratory Data Analysis (EDA) (Descriptive Statistics, Data Cleaning)
Data Visualization (ggplot2, base R)
Statistical Analysis & Hypothesis Testing
Machine Learning Basics (caret, randomForest)
Time Series Analysis
Data Reporting & Reproducibility (RMarkdown, Shiny)
By the end of this course, students will be able to analyze datasets, create compelling visualizations, and build predictive models—essential skills for careers in data science, analytics, and research.
🚀 Who Should Enroll?
- Aspiring data scientists
- Researchers and statisticians
- Professionals looking to upskill in R
🔗 Enroll Now & Elevate Your Data Science Skills!
- Teacher: Dr Isaac Ajao