Choosing between going back to school to get a data science degree or attending an instructor-led data science training program can be difficult. For those who have a hard time deciding between the two, each option holds pros and cons. From how much time it will take to what specific skills you’ll learn, different issues between completing a degree in data science and receiving training must be considered.
Claudia Virlanuta, CEO and Founder at Edlitera, sees the value in both options. From her wide-ranging data science experience in academia, private industry, and now in professional development training, she understands how difficult this process is for people of all backgrounds and professional goals. While some may be considering a career transition into data science and others may aim to build a stronger foundation in the programming skills they already have, both options of going back to school and receiving advanced data science training can be appealing.
Discover Data Science analyzes the benefits and limitations of getting a data science degree and pursuing focused, short-term training in the article “Data Science Degree or Data Science Training: Which Should You Do?” This article gives a high-level outline of the different levels of degrees, the concentrations of instructor-led training programs, the conditions that require either a degree or further training, and the ways that they can complement each other in a thorough overview of what you can expect as you make your decision.