My role as an Instructor for a Post-Graduate, Fast-Track program involves some challenges and some huge benefits.
The challenges are always time, and time, and time – there is a lot to learn in a short period of time. This means that the level of self-efficacy amongst the students has to be extraordinarily high.
Fortunately, it generally is. The students take-on and complete the intense learning at a very rapid pace. With a more mature student profile, I see a corresponding dedication to learning the materials at a fast pace.
The other challenge should be keeping up with changes to the evolving field of Data Engineering, Business Intelligence, and Data Analysis. However, I’m fortunate in that the program I teach has a lot of adaptability to the market – because it is a blend of Corporate-style training and Traditional Academic education.
This means that each time the program runs, I am able to stay within the objectives of the courses, but also add and adapt with external materials and ideas as needed to maintain currency and relevancy in the field.
I’ve just introduced THREE new resources for students that I’m very excited about:
Data Engineering https://amzn.to/3P60dBU
Murcah’s Python Programming https://amzn.to/3WYXTyr
Murach’s Python for Data Analytics https://amzn.to/3oUSU5n
These are new to the program and I hope will prove to be valuable as we use them to expand even more content related to Data Engineering, Business Intelligence, and Reporting.
