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BIT 277 - Introduction to Data Analytics with R
This introductory course in Business Analytics explores predictive and descriptive analytics using a variety of software packages with a focus on R and Excel. Students will also explore modeling and simulation techniques and learn how to make informed business decisions.
Prerequisite- Corequisite
Prerequisites: BUS 115 Business Statistics or equivalent and BIT 200 Spreadsheets with Business Applications or equivalent
Credits: 3
Hours
3 Class Hours
Course Profile
Learning Outcomes of the Course:
Upon successful completion of this course the student will be able to:
- Demonstrate knowledge of Data Analytics concepts and terminology.
- Demonstrate the ability to use basic statistical tools to perform Data Analytics.
- Create various data models including Monte Carlo Simulations and Linear and Non-Linear Optimization Models.
- Use software that is advantageous and industry standard for working with data.
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