This course explores various data analysis questions and modeling techniques, including hypothesis testing, linear regression, nonlinear modeling, and machine learning. These tools, combined with techniques from other courses in the specialization, will enable you to make key data-driven decisions within your organization. Familiarity with R programming is assumed, so it is recommended to complete an introductory R Programming course if you are not already proficient.
🆓 Free to Audit
🕒 Approx. 21 Hours
✏️ Beginner Level
🧾 Paid Certificate Available Upon Completion
🎓 Offered by Johns Hopkins University via Coursera
