DATA SCIENCE II: THEORY AND PRACTICE in Spring 2025 (DS5065)

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The 21st century has seen a big increase in the amount of data which is made accessible. Social media such as Facebook, online shops such as Amazon and many others, are all gathering raw data. But what can be done about this data? Data Science covers tools and methods around the extraction of knowledge from data. Such tools cover its collection, storing, processing and analysis. In this course we will learn about several of the most important tools in the above flow and will apply them to real-world examples.

Course Master: 
DATA SCIENCE II: THEORY AND PRACTICE (DS5065)
Term: 
Spring 2025
Discipline: 
DS (Data Science)
Credits: 
4 credits
Type: 
Regular
Level: 
Graduate
Can be taken twice for credit?: 
No
Exam Date: 
Monday, May 5, 2025 - 12:30
Pre-requisites: 
( College Level=New Student - Grad OR College Level=Graduate OR College Level=Graduate - Continuing) AND (DS5060 OR CS5060)
Co-requisites: 
None

Professor(s)

Learning Outcomes

  1. Students will make effective use of probabilistic and statistical thinking.
  2. Students will demonstrate a robust understanding of the fundamental ideas of Data Science.
  3. Students will be able to digitally obtain and parse datasets and to model them in various ways in order to be able to draw information from the data. 
  4. Students will demonstrate to be able to use the Python language and Jupyter Notebook.

Syllabus

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Schedule

Start Date: 
Monday, January 13, 2025
End Date: 
Tuesday, May 13, 2025
DayStart TimeEnd TimeRoom
Monday
10:35
13:30
C-302
Thursday
10:35
11:55
C-302