There were 2 final examinations, one being non-proctored and the other proctored. The non-proctored exam was open book, and tested your ability to look at data and the various analytical techniques, and interpret the results of the analyses. The proctored final exam was closed book and covered general concepts. This was a great overview of some of the more important topics in machine learning. I was able to get a good theoretical background in these topics, and learned the coding necessary to perform these. This is a great foundation upon which to add more advanced and in-depth use of these techniques. This course really challenged me to rethink what analytical techniques I should be learning and applying in the future, to the point that I am going to change my specialization to Artificial Intelligence and Deep Learning.

This would equip you with the knowledge and confidence you need to transform your organization into an innovative, efficient, and sustainable company of the future.