Welcome to MEF University BUS 432 Spring 2018 course webpage!

Click for Project Guidelines

Lecture notes are in main Pjournal page

This course benefits from DataCamp for the Classroom program. See details here.

Homeworks

• ML Homework: Check Machine Learning Exercises in the main PJournal page. Choose one of them to analyze and add it to your progress journals. Check example from here. (Note: Please if you take any code from other PJs or sources, give proper references. Failure to do so will affect your overall grade.)

• RMarkdown Homework: Prepare an RMarkdown document. Introduce yourself in one paragraph (Your name surname, your work, your data interests and how you (plan to) use data science skills in your current/future work). Watch some RStudio Conference - 2019 videos (Link) and write one of them down on your RMarkdown document. Find 3 R posts relevant to your desired work and describe them. Get the html output and put it in your progress journal repository. Provide link from your Progress Journal page. (Click for example)
• Form teams of 2-3 and prepare for major projects (we will discuss in next week).

# Data Challenge 1

• Download the data from here.
• Check the example analysis (Click here)
• Create an R Markdown report.