This course guides you through the process of Data analysis with R. You'll learn techniques for data preparation, exploratory analysis, model development, evaluation, and tuning. Through a hands-on project analyzing airline data, you'll gain practical experience in reading, preprocessing, modeling, and selecting the best predictive model. It is expected that you have basic knowledge of R and can ensure this by completing the course "Introduction to R Programming for Data Science".
🆓 Free to Audit
🕒 Approx. 16 hours
📈 Intermediate Level
🧾 Paid Certificate Available Upon Completion
🎓 Offered by IBM via Coursera
