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.
67/100
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- What the provider tells you
- 31/45
- Who stands behind it
- 20/35
- How complete the listing is
- 16/20
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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
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