This Specialization provides a comprehensive, beginner-friendly pathway to mastering data analytics and statistical modeling using R. Learners progress from core programming concepts and data structures to advanced statistical techniques, machine learning workflows, and exploratory data analysis using ggplot2. Through structured modules and applied case studies, participants build the ability to clean, analyze, model, and interpret real-world datasets. By the end of the program, learners will confidently apply quantitative analysis, visualization, and predictive modeling techniques in academic, research, and business environments.
What you'll learn
cleaning data
analyzing data
applying statistical modeling
understanding machine learning workflows
creating data visualizations using ggplot2
Course objectives
to build a strong foundation in data analytics
to enhance skills in statistical techniques
to develop the ability to model and interpret datasets