TOPICS: DATA SCIENCE THEORY AND PRACTICE in Spring 2019 (CS2091)

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Covers a current CS topic of interest. Content changes each semester the course is offered.

Course Master: 
TOPICS IN COMPUTER SCIENCE (CS2091)
Term: 
Spring 2019
Discipline: 
CS (Computer Science)
Credits: 
4 credits
Type: 
Regular
Level: 
Undergraduate
Can be taken twice for credit?: 
Yes
Exam Date: 
Thursday, May 16, 2019 - 15:20
Pre-requisites: 
CS1040GE110
Co-requisites: 
None

Professor(s)

Tomer Libal

Notes

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 covers 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.


Learning Outcomes

  1. Basics of Python 3 and how to use it as as a tool for data analysis
  2. Fundamental principles and methods of visualization
  3. Basic concepts in statistical inference
  4. Practical data analysis on real-world datasets

Schedule

Start Date: 
Monday, January 21, 2019
End Date: 
Friday, May 17, 2019
RoomDayStart TimeEnd Time
PL-4
Monday
15:20
16:40
PL-4
Thursday
15:20
16:40