Live online courses
Data Science with Python
Interested in learning Data Science? Try our Data Science with Python course. A LIVE class, instructor-guided and with unlimited mentor support.
Predicting Diabetes with Machine Learning
Ready to get started with Machine Learning? This project uses Linear Regression to predict if a patient might suffer from Diabetes. Interesting, right? The dataset contains 10 physiological variables for 442 patients.
Ready to make some predictions?
Hot Dog or Not Hot Dog using Deep Learning
We're working on a new project applying Deep Learning and Image Recognition, and it'll be awesome! We're stealing Jian-Yang's Million-Dollar idea: Hot Dog or Not Hot Dog and implementing it in a few hours.
Sign up and get notified when it's ready!
Learn Python for Data Science with a Live, instructor-guided class, from the comfort of your home.
RMOTR provides a well structured blend of individual and group learning. A typical week consists of 1 pure instruction/overview session, 3 group project sessions, and individual learning comprised of readings and exercises. At all times either an instructor or mentor is available to provide one-on-one assistance... that alone justifies taking their courses. Moreso, they emphasize real-world applicability over rote memorization or follow-the-leader. Python may be the tool, but the focus is on programming irrespective of the language used. All projects are guided by test driven development and must comply to multiple standards of Python, further reflecting a real use approach.
This course was one of my first when it comes to programming, and I have to say has set the bar incredibly high for any others that might follow. The teachers did an excellent job explaining concepts and project, while the mentors were always around to give us a hand if needed.
This course was definitely a challenge, and it was definitely worth it. Rmotr's teacher and mentor teams pushed me to learn features of the language I was not familiar with through readings, lectures, examples, and exercises, and they encouraged me to ask questions along the way. They did a great job of answering my immediate questions accurately and thoroughly, and giving me good recommendations on what documents to read to go deeper. The course included an impressive 12 programming projects, and looking back on it, I am surprised at all we were able to accomplish in the short span of time the course occupied.