Top/Tools for Business Analyt
Durham
Paul College of Business&Econ :: Administration
Credits: 3.0
Term: Summer 2022 - E-term V (05/23/2022 - 07/15/2022)
Grade Mode: Letter Grading
Term: Summer 2022 - E-term V (05/23/2022 - 07/15/2022)
Grade Mode: Letter Grading
Class Size:
5
CRN: 70932
CRN: 70932
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.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Repeat Rule: May be repeated up to 4 times.
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.