@Rashedul I took a look at the slides, cm010, and cm010-exercise-solution files.

• It's a great idea to start with the introduction in the slides. Also, the summaries in the slides should be really helpful.
• During lecture, you might be reminded of a philosophy for doing data analytic work. Don't be afraid to take a moment to express those thoughts spontaneously, especially since the students haven't heard from you. Diversity of thought is good.
• I'd rather stick to the tidyverse and use the tibble() function for making data frames, instead of the data.frame() function. You can elaborate on this if you'd like, since they haven't seen how to make data frames yet.
• I think the amount of written content is good. I personally find having lots of notes on my lecture notes to be distracting to both me and the students.