FIT5145 Introduction to
data science












Assessment task 4: Business and data case
study (Rubric)
























FIT5145 Introduction to data science 1
2





Criteria High distinction
(100% to 80%)
Distinction (70% to
79% of available
mark)
Credit (60% to 69%
of available mark)
Pass (50% to 59% of
available mark)
Fail (<50% of available mark)
Analyse the role of
data in different
styles of business
Provides a
sophisticated
critical analysis.
Provides some
critical analysis.
Provides limited
critical analysis.
Provides minimal
analysis.
Provides description rather
than analysis.
Analyse different Provides critical
analysis of different
parts of a data
science project.
Provide distinct
classification of
data scientist roles.
Provides some
analysis of different
parts of a data
science project.
Provide some
classification of
data scientist roles.
Provides limited
analysis of different
parts of a data
science project.
Provide limited
classification of
data scientist roles.
Provides minimal
analysis of different
parts of a data
science project.
Provide minimal
classification of
data scientist roles.
No analysis of different
parts of a data science
project.
No clear classification of
data scientist roles.
parts of data
science project
from the
perspective of the
data science
process and from
the perspective of
the roles such as
statistician,
archivist, analyst
and systems
architect
Demonstrate the Clearly
demonstrates the
size and scope of
data storage and
data processing
and classification of
the basic
technologies in use.
Provides some
demonstration of
the size and scope
of data storage and
data processing
and classification of
the basic
technologies in use.
Provides limited
demonstration of
the size and scope
of data storage and
data processing
and classification of
the basic
technologies in use.
Provides minimal
demonstration of
the size and scope
of data storage and
data processing
and classification of
the basic
technologies in use.
No clear demonstration of
the size and scope of data
storage and data
processing and
classification of the basic
technologies.
size and scope of
data storage and
data processing
and classify the
basic technologies
in use




Assessment task 4: Business data case study (Rubric)
FIT5145 Introduction to data science
FIT5145 Introduction to data science 3




Criteria High distinction
(100% to 80%)
Distinction (70% to
79% of available
mark)
Credit (60% to 69%
of available mark)
Pass (50% to 59% of
available mark)
Fail (<50% of available mark)
Classify the kinds Provides distinct
classification of the
kinds of data
analysis and
statistical methods
that are available.
Provides some
classification of the
kinds of data
analysis and
statistical methods
that are available.
Provides limited
classification of the
kinds of data
analysis and
statistical methods
that are available.
Provides minimal
classification of the
kinds of data
analysis and
statistical methods
that are available.
No clear classification of
the kinds of data analysis
and statistical methods.
of data analysis
and statistical
methods available
for a data science
project
Locate and assess
resources,
standards,
software and tools
for a data science
project
Provides clear and
succinct
assessment of
standards,
software and tools
for a data science
Provides some
assessment of
tasks required for
standards,
software and tools
for a data science
Provides limited
assessment of
standards,
software and tools
for a data science
project.
Provides minimal
assessment of
standards,
software and tools
for a data science
project.
No clear assessment of
tasks required for
standards, software and
tools for a data science
project..
project in an
organisation.
project in an
organisation.

Creative and
critical thinking
Thinks out of the
box, creates or
Collect ideas,
solutions and other
Reformulates a
collection of
Mostly repeats
existing information.
Just repeats existing
information.
extends to a novel information in good available Provide limited Do not provide any
or unique idea. ways. information. justification and justification or analysis.
Provides a Provides detailed Provide some analysis.
sophisticated justification and justification and
critical analysis. analysis analysis.
Assessment task 4: Business and data case study (Rubric)
FIT5145 Introduction to data science 4



Criteria High distinction
(100% to 80%)
Distinction (70% to
79% of available
mark)
Credit (60% to
69% of available
mark)
Pass (50% to 59% of
available mark)
Fail (<50% of available mark)
Presentation,
structure,
expression,
grammar and
spelling
Well structured,
with impressive
fluency and flow.
Appropriate use of
sub-headings and
Well-structured and
generally good links
and flow. Adheres
to specifications
(word limit,
Satisfactory
structure, mostly
satisfactory links
and flow. Adheres
to specifications
Overall basic
structure is
adequate, but lacks
links and flow.
Adheres to
Poorly structured, lacking
linkages and flow. Does not
adhere to specifications
(word limit, duration, file
format).
relevant content duration, file (word limit, specifications (word
sections. Adheres format). duration, file limit, duration, file
to specifications format). format).
(word limit,
duration, file format)
Supporting the Data
Science proposal
with realistic data,
authentic models and
output
Project well-
constructed and
explained using real
(or a realistic)
dataset with
impressive
suggestions or
mockups of
authentic models
and output/
visualizations for
various
stakeholders.
Supports the project
sufficiently by
identifying realistic
datasets and their
descriptions.
Demonstrates some
modelling were
performed with
output generated.
Satisfactory
explanation with
data. Report
demonstrates good
understating of data
sources and
datatypes. Limited
demonstration of
modelling and
output. Limited
results/mockup on
how the results will
be presented to
stakeholders.
Provides basic
understanding of
data required.
Provides links and
descriptors of few
realistic
datasets/sources.
Lacks evidence of
using the dataset for
modeling but
provides some
discussion on the
nature of the output.
No evidence of using any
real or realistic dataset to
support the proposal.

Assessment task 4: Business and data case study (Rubric)

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