I had a powerful learning experience with Thinkful's Data Science track. I was grateful for the mentor's extensive background, and he brought in a valuable perspective on the course materials. The curriculum itself was challenging, and forces the user to learn how to interpret the online documentation for the various libraries used. This is beneficial for the long term - a data scientist needs to know current tools but also needs to be able to pick up new tools quickly, and Thinkful delivers on both. Occasionally there were some old links and some vague directions in the curriculum, but the Thinkful slack channel, the mentor, and the admins were quick to respond with help.
After getting a good grasp of the Python programming language, I don't know where I could start learning about the Data Science due to its broadly immense field of study. Not until I found Thinkful. I enrolled in Data Science in Python, because I thought it would introduce me to this field and have a better idea on the scope and analytics commonly used.
I got more than what I bargained for as the curricula goes through teaching data import and extraction from numerous sources, and once that is done, delves right into the many, many analytical methods which honestly took a bulk of my time to learn and understand. I did wish I get to learn more. My mentor, Rowan Copley, is a quirky yet awesome individual that is always available for help both during and not during mentoring sessions. He also provides great books to read or up-to-date news on this field to keep me motivated throughout the course.
However, in the end, I get to build up a great looking repository of my journey. So thanks Thinkful!