This course introduces data sampling, probability theory, and Bayes' rule. You will learn about different sampling methods and how they affect inference. This course will also cover exploratory data analysis (EDA) techniques, including summary statistics and data visualization, using R and RStudio in lab exercises, and a final project. This is part 1 of 3 in the Data Analysis with R Specialization.
🆓 Free to Audit
🕒 Approx. 14 hours
✏️ Beginner Level
🧾 Paid Certificate Available Upon Completion
🎓 Offered by Duke University via Coursera
