You're not going to be an expert at the end of this course, but that's not the point of this 30 day course. Data Science Month teaches you the fundamentals.
Yes, there are some things that you can only learn with time, but anyone who says you need years of experience to work in Data Science is just trying to scare you off. If everyone finds out that Data Science can be learned, the market for so-called Data Science "experts" will become less one-sided. Developers with basic Data Science experience or who worked at a lab with "Data" in the title will no longer be able to mention their experience in job interviews and performance reviews and will no longer get that $10k salary bump just for using buzzwords like Data Science. With this course, you will gain foundational Data Science skills and actually implement Data Science algorithms.
Data Science Month is the best place to learn about Data Science. People from all backgrounds can grasp the concepts. The teacher is available on the Data Science Month platform to publicly answer your questions and comments.
Data Science Month is created and supported by Enterprise Deep Learning, a consulting firm moving deep learning to production in Boston and New York. If you encounter problems, we will help you. If it doesn't work out, we'll refund you.
Support: One-on-one private email support on a best-effort basis. No SLA purchased; available separately. This plan level doesn't include auditing, but sending an email to firstname.lastname@example.org can get you a quote in 4 hours.
Sam Putnam is CEO/Founder, and a Deep Learning Consultant, at Enterprise Deep Learning. He directs machine learning projects, solves clients' business problems, and trains deep neural networks on large datasets. Sam is also a contributor to the TensorFlow machine learning project and a member of the Machine Learning Society.