Data Science Fundamentals

INF80054 12.5 Credit Points

Duration

  • One semester or equivalent

Contact hours

  • 32 Hours

On-campus unit delivery combines face-to-face and digital learning.

2023 teaching periods

Hawthorn

Higher Ed. Semester 1
Hawthorn

HB5  HE Block 5

Dates:
27 Feb 23 - 28 May 23

Results:
4 Jul 23

Last self enrolment:
12 Mar 23

Census:
31 Mar 23

Last withdraw without fail:
14 Apr 23

Dates:
10 Jul 23 - 20 Aug 23

Results:
26 Sep 23

Last self enrolment:
10 Jul 23

Census:
21 Jul 23

Last withdraw without fail:
4 Aug 23


Aims and objectives

This unit will give students a solid foundation in contemporary data science best practices using Python. It will cover a hands-on introduction to programming paradigms and fundamental data analysis techniques. Through examples involving real-world data, students will learn data cleaning and validation techniques, data transformation procedures, algorithm design, text analytics, and data visualisation techniques. Students will become familiar with important Python software modules such as Pandas, Matplotlib, and the Natural Language Toolkit (NLTK).