DS 898 (01) - Topics in Business Analytics

Top/Tools for Bus. Analytics

Durham   Paul College of Business&Econ :: Decision Sciences
Credits: 3.0
Term: Summer 2022 - E-term V (05/23/2022 - 07/15/2022)
Grade Mode: Letter Grading
Class Size:   25  
CRN: 70928
Special Topics; may be repeated. Pre- and co-requisite courses vary. Please consult time and room schedule for the specific 898 topics section you are interested in for details.
Section Comments: Topics/ Tools for Business Analytics
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Repeat Rule: May be repeated for a maximum of 12 credits.
Instructors: Demirhan Yenigun

Times & Locations

Start Date End Date Days Time Location
5/23/2022 7/15/2022 T 5:40pm - 9:15pm PBLANE 216
Additional Course Details: 

The goal of this course is to expose students to popular software tools used in all stages of data analytics in business, to create actionable insights. The course will cover and introduce tools for the three key areas of data analytics: a) Data Preparation & Blending (e.g., Alteryx, Tableau Prep) b) Data Analysis & Visualization (e.g., Tableau, Power BI, Amazon Quicksight) c) Model Building (Statistical & Machine Learning) for Predictive Analytics (e.g., Blue Sky (GUI for R), DataRobot). Students will learn about the overall capabilities of these tools and will practice applying them to diverse types of sample data.