In this course, students will expand on skills acquired in the prior courses by learning how to combine R and Python capability into one project using R Studio and Anaconda. Students will develop a working Notebook using R Markdown and transfer results into an interactive web-based dashboard using Shiny.
At the end of the course, student will know:
1. How to use Python and R together to efficiently perform data analysis.
2. How to import data sets from different repositories.
3. How to create a workflow using R Markdown to maintain data analytics projects and communicate results to stakeholders.
4. How to develop an interactive web-based dashboard using Shiny.
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