Analyze and Apply R for Data Analytics

Coursera MOOC / Non-credit USD 49
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Analyze and Apply R for Data Analytics

About this course

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

Skills you'll gain

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