If you do not have knowledge in these areas, we strongly recommend that you take Intro to data Analysis with Excel (CEBD 1300), Intro to SQL (CEWP 215), Intro to R (CEBD 1200) and/or Intro to Python .

R has taken-off in recent years due to the growth in analytics generally and packages like the tidyverse, which have made it much easier to manipulate data and create impressive visualizations. Python ...

Professionals who want to leverage data for better decision-making. Entrepreneurs with projects that could benefit from data analytics. Students in fields like geography, biology, psychology, ...

The demand for data-driven professionals in healthcare and clinical research continues to grow, making statistical programming a highly rewarding and future-proof role.