Data Science: Data Is Everywhere, Harness It!

Data Science

Data pours in from social media, weather stations, government agencies, mobile phones, credit card purchases, and other new devices continuously. How do you make sense of it all?

Learn how to harness the power of data to understand the world around you and make better decisions.  

Create impactful and persuasive presentations by learning the key principles of presenting data visually.

Coming from liberal arts background, the way information is portrayed and delivered to an audience is particularly important. This course can be beneficial to students from any academic background in the Information Age.

Joyce Rasing, Political Science, CLA ’14

I’ve always been fascinated by data and numbers. This course offers so much value to all students since it allows a student to understand and get hands-on experience with data and the many possible connections that arise.

Kevork Chouljian, Marketing, Fox ’18

Course details

  • Course name and number: Data Science | MIS0855
  • Summer I session 2016
    •   MIS 0855, section 011, MW 8:30 am – 11:25 am, CRN 5616, Laurel Miller
  • Fall 2016 sections
    • MIS 0855, section 001, TR 9:30 am – 10:50 am, CRN 24896, Laurel Miller
    • MIS 0855, section 002, MWF 4:00 pm – 4:50 pm, CRN  27681, Ermira Zifla
    • MIS 0855, section, 003, TR 12:30 pm – 1:50pm, CRN 28556, Laurel Miller
    • MIS 0855, section 004, M 5:30 pm – 8:00 pm, CRN  31116, Omar Mencin
    • MIS 0855, section 005, R 5:30 pm – 8:00 pm, CRN  31117, Min-Seok Pang
    • MIS 0855, section 006, MWF 8:00 am – 8:50 am, CRN  31118, Shana Pote
  • Pre-requisites: None. No technical background is required, you will get hands-on experience  with easily available software.  
  • Fulfills: GenEd Science and Technology Requirement (GS)

Course goals

  • Apply data to make better decisions
  • Locate data relevant to you
  • Make predictions about the future
  • Combine data sets to discover new insights
  • Differentiate good data from bad data
  • Master data visualization
  • Work with common, powerful tools like Tableau and Microsoft Excel
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