Data Science and Machine Learning: Making Data-Driven Decisions Reviews

I've enjoyed the class and mentorship. Without a background in computer science or programming, I have been able to navigate through this course successfully due to the pedagogy and structure of the course accompanied by the human touch and expertise that the mentor provided.

Great mentored sessions every time. The hands-on in Python was very helpful. Good use of graphics and practical explanations that make sense. Especially on the matrix factorization for Recommendation Systems, where the hands-on break example is easier to remember and make the point better than the math formula.Give this man a medal!Wish List:1) A link to download all the practice Jupyter notebooks for each course and all the handouts in one zip file.2) Mentored Learning session for the optional material for each course. I see there is a lot of very interesting optional material in the videos and in the handouts.

Thanks you for this course, it was one of the best course i attended.

Case studies was very well explained. I also liked the interactions of mentor to audience to which some doubts are clarified. Overall, it was a great session

Excellent use-cases being given based on instructor's experiences.

Very thorough explanations of concepts in an organized manner!

The faculty is very patient and encouraging (for me to think better).

As a beginner in Data Science and programming, I appreciate the teaching style and platform; I am confident that I will gain the skills necessary to become a Data Scientist and pursue a career in machine learning and artificial intelligence.