DATA SCIENCE II: THEORY AND PRACTICE (DS2065)

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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.

Code: 
DS2065
Name: 
DATA SCIENCE II: THEORY AND PRACTICE
Discipline: 
DS (Data Science)
Type: 
CCM
Level: 
Undergraduate
Credits: 
4
Can be taken twice for credit?: 
No
Pre-requisites: 
CS1060 OR CS1060CCDI OR CS1060CCI OR DS1060CCDI
Co-requisites: 
None

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.
  5. Develop a positive approach to mathematics and to appreciate its use in modeling the world. (CCM LO1) 
  6. Reason with quantitative information –in words, numbers and graphs and charts. (CCM LO2) 
  7. Clearly communicate quantitative information in words, in numbers and with graphs. (CCM LO3) 
  8. Develop strategies for solving problems. (CCM LO4) 

Offering(s)

Term Code Name
Spring 2024 DS2065 DATA SCIENCE II: THEORY AND PRACTICE

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