This assignment is a prelude to the third assignment. It aims at providing you with an authentic experience in carrying a simple data science project that covers all essential stages in a data science lifecycle. Since most professional science projects are performed by teams, you are therefore required to complete this assignment in a team.
Your Python code base must be available on your Github repo. The extent of the group’s collaboration and individual contribution will be evaluated solely based on Github.
General advice:
It is fine to choose a dataset that has been analysed by others outside of the university. This is the natural consequence of selecting open data. However, you should either show that the analysis and exploration you plan has not been done before, or show that there is no code already available to do the analysis you intend. Your instructor is likely to view highly any original investigation.
Sources of open datasets include but are not limited to:
Group work activities must be visible on Github Classroom.
The instructor will send an invitation to all students to join Github Classroom after all groups are formed. To accept this invitation, every student must have a free Github account. If you do not already have it, please sign up. This is compulsory.
You should refer to the detailed marking rubric that appears on the side panel of this window.
The duration of the presentation is commensurate with the team size. Inline with the Unit Information, 2 to 3 minutes of presentation per team member is required. Not complying with this requirement may attract a mark penalty.
Example:
Other assessment irregularities are governed by CDU’s Higher Education Assessment Procedures.
When pitching your dataset, consider addressing the following concerns:
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