In this course, students will learn how to load a data set into R for analysis. The R language will be covered to allow the student to become familiar with data analysis techniques accomplished. Specific algorithms and related packages will be used to develop machine learning models used for prediction.
At the end of the course, student will know:
1. How to use R to perform analysis on different size data sets.
2. How to work with packages in R to streamline project efficiency.
3. How to use the R Studio IDE to run different algorithms used for data analytics projects.
4. How to create a workflow to perform data analytics in R.
Consider 3-hour lecture per week, and 4-6 hours per week on quizzes and ongoing real-world projects for homework.
for those considering a professional career in Data Analytics field
Cynthia V. Marcello, DM is a tech solopreneur, software applications developer, data scientist, and business management consultant with 25 years of experience working with small-to-medium businesses, corporations, government, and educational agencies. She has developed data-driven applications for the Department of Defense (logistics), and numerous custom software applications (front-end and back-end) for operations and enterprise materials handling processes of corporations, and order-entry and production systems for online retailers.