Deakin University
SIT742 Modern Data Science
Unit Assessment Handbook
Gang Li
Trimester 1, 2020
School of Information Technology
Deakin University, Australia
CONTENTS
0 Assessment Overview 1
0.1 General Information . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
0.1.1 Where to Get Help? . . . . . . . . . . . . . . . . . . . . . . . . . . 1
0.1.2 Where to Submit? . . . . . . . . . . . . . . . . . . . . . . . . . . . 2
0.1.3 Important Dates . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2
0.1.4 Assignment Results . . . . . . . . . . . . . . . . . . . . . . . . . . 2
0.2 General Requirements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2
1 Data Exploration: Data Scientists Survey 5
1.1 Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
1.2 Task Description . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
1.2.1 Data Exploration . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6
1.2.2 Text analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6
1.3 What to Submit? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6
2 Data Analytics: FIFA 2019 7
2.1 Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
2.2 Task Description . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
2.2.1 FIFA19 Data Analytics . . . . . . . . . . . . . . . . . . . . . . . . 8
2.2.2 Project Report . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
2.3 What to Submit? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
2.3.1 Important Dates . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
2.3.2 Files to Submit . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9
3 Appendix 11
3.1 Code Style: Pep 8 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
3.2 Academic Skills . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12
3.2.1 How to Find Papers? . . . . . . . . . . . . . . . . . . . . . . . . . . 12
3.2.2 How to Read Papers? . . . . . . . . . . . . . . . . . . . . . . . . . 13
3.2.3 How to Write a Paper? . . . . . . . . . . . . . . . . . . . . . . . . 13
i
CHAPTER
ZERO
ASSESSMENT OVERVIEW
Contents
0.1 General Information . . . . . . . . . . . . . . . . . . . . . . . . 1
0.1.1 Where to Get Help? . . . . . . . . . . . . . . . . . . . . . . 1
0.1.2 Where to Submit? . . . . . . . . . . . . . . . . . . . . . . . 2
0.1.3 Important Dates . . . . . . . . . . . . . . . . . . . . . . . . 2
0.1.4 Assignment Results . . . . . . . . . . . . . . . . . . . . . . 2
0.2 General Requirements . . . . . . . . . . . . . . . . . . . . . . . 2
0.1 General Information
2020 SIT742 assessment consists of 4 components as detailed below:
Table 0.1: SIT742 Assessment Plan
Components Percentage Submission Methods Working Mode
Task 1 25% Critical Analysis and Report Individual
Task 2 40% Project Work Group
Task 3 05% Online Quiz in CloudDeakin Individual
Final Examination 30% Exam Individual
0.1.1 Where to Get Help?
Students are encouraged to discuss the unit related assessment in CloudDeakin unit
[home page] ! [Discussions] ! [Student Discussion].
If you are trying to form a project group for Assessment Task 2, you can post messages
at: [home page] ! [Discussions] ! [Finding a project group?].
Any enquiry about this unit can be posted at: [home page] ! [Discussions] !
[Questions for the Unit Chair].
1
0.2. GENERAL REQUIREMENTS )[SIT742](
0.1.2 Where to Submit?
All tasks should be submitted to CloudDeakin by following corresponding specifc requirements. You can fnd the corresponding submission boxes for Task 1 and 2 by following
the [home page]! [Assessment] ! [Assignments] link.
0.1.3 Important Dates
Please be aware of the following important dates:
Task 1 Due Date CloudDeakin Submission, by 23:59pm,
✘11✘=04 ✘=✘2020 ✘✘✘:(Week 18=04=2020 ✚05 ✚>Sun- 06
day).
Task 2 Group Sign-Up Due Date Task 2 group sign-up on CloudDeakin by 23:59pm,
18=04=2020 (Week 06 Saturday).
Task 2 Due Date CloudDeakin Submission, by 23:59pm,
✘23✘=05 ✘=✘2020 ✘✘✘:(Week 30=05=2020 ✚10 ✚>Sun- 11
day).
Task 3 Due Date CloudDeakin Online Quiz, in Week 10.
0.1.4 Assignment Results
Task 1 and 2 will be marked based on your submitted pdf report and Jupyter notebook,
while task 3 will be automatically marked online.
• The marking report is expected to be released to CloudDeakin within 14 working
days of the due date;
• Within 3 working days after the result is released, any student who wishes to
challenge the mark must contact or approach the unit chair during contact hours
and bring with them a copy of their assignment and their mark breakdown. Cloud
students can email me for this issue.
0.2 General Requirements
Student information and assessment related forms can be found from http://www.deakin.
edu.au/sebe/students/. Students are required to familiarize with Faculty regulations
regarding plagiarism.
1. Any text or code adapted from any source must be clearly labelled and referenced.
You should clearly indicate the start and end of any such text/code.
2. All SIT742 assignments must be submitted as required by their corresponding assessment specifcations. Assignments will not be accepted through
any other manner without prior approval. Students should note that this means
that email based submissions will ordinarily be rejected.
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)[SIT742]( 0.2. GENERAL REQUIREMENTS
3. Penalties for late submissions are indicated in the Unit Guide. Close of submissions
on the due date and each day thereafter for penalties will occur at 11 : 59pm local
time. Students outside of Victoria, Australia, should note that the local time zone
is UTC + 10, and in Daylight Saving Dates, it will be UTC + 11.
4. Information regarding assignment extensions is provided in the Unit Guide &
Information in CloudDeakin. Students must not assume an extension will be
granted. Late penalties still apply in the case of a failed application for extension.
Thus until an extension is granted students should submit any work completed
before the assignment is due. Note that extensions cannot be granted for system
outages or encumbrances.
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ASSESSMENT TASK
ONE
DATA EXPLORATION: DATA SCIENTISTS SURVEY
Contents
1.1 Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
1.2 Task Description . . . . . . . . . . . . . . . . . . . . . . . . . . 5
1.2.1 Data Exploration . . . . . . . . . . . . . . . . . . . . . . . 6
1.2.2 Text analysis . . . . . . . . . . . . . . . . . . . . . . . . . . 6
1.3 What to Submit? . . . . . . . . . . . . . . . . . . . . . . . . . . 6
This task contributes 25% of your fnal SIT 742 mark. It must be completed individually,
and submitted to CloudDeakin by 23:59pm,
✘11✘=04 ✘=✘2020 ✘✘✘:(Week 18=04=2020 ✚05 ✚>Sunday) 06 .
1.1 Background
In 2017, Kaggle (a data science community and competition platform) conducted a survey
on a large range of users registered as the data scientist in their platform. The survey
data are broadly covered the skill set of the data scientists, the demographic of the data
scientists, the feedback of the platform and many other information.
1.2 Task Description
We provide one Jupyter notebook 2020SIT742Task1.ipynb at GitHub-SIT742, together
with three data fles at the data subfolder:
MCQResponses.csv The csv fle contains participants’ answers to multiple choice questions. Each column contains the answers of one respondent to a specifc question.
ConversionRates.csv Currency conversion rates to USD.
JobPostings.csv Data scientists job advertising in US with job descriptions, from
JobPikr.
5
1.3. WHAT TO SUBMIT? )[SIT742](
You are required to develop a data exploration report by completing the provided
Jupyter notebook to fnish some required analysis, with the exploration data analytics
skills as well as visualization skills. Details requirements can be found in the provided
notebook, and you need follow the notebook requirements to complete the coding and
include the results into the report SIT742T1Report.pdf.
1.2.1 Data Exploration
For a data scientist, after obtaining the dataset, the frst most crucial task is to obtain a
good understanding of the data he or she is dealing with. This includes: examining the
data attributes (or equivalently, data felds), seeing what they look like, what is the data
type for each feld, and from this information, determining suitable numerical/visual
descriptions.
In this part of this assessment task, you need to complete the provided notebook coding
parts and fnish the required analysis in the attributes such as ‘education’, ‘salary’ and
related demographic information (70%).
1.2.2 Text analysis
For the job advertisement data JobPostings.csv, you are required to write Python
code to remove the stop-words, and to extract the high frequency words used in job
advertisements.
After that, you can do one self-defned text analysis task to get insight into those
advertisement information (30%).
1.3 What to Submit?
Please familiarise yourself with the General Requirements (see Section 0.2) on Assignments
Submission. By the due date, you are required to submit the following fles to the
corresponding Assignment (Dropbox) in CloudDeakin:
SIT742Task1.ipynb Your Jupyter notebook solution source fle for the data exploration
of the data scientists related data. You can fll your name and Deakin ID information
at the relevant place in the frst markdown cell.
Please follow the PEP 8 guidelines (Section 3.1) for source code style. Your commenting and adherence to code standards will be considered when marking.
SIT742T1Report.pdf This pdf report contains the required source code, the required
answers to selected questions, as specifed in the notebook fle.
No Special Consideration will be granted for this assessment task. Students who have
difculty meeting the deadline because of illness, etc. must apply for an assignment
extension no later than the noon on the day prior to the deadline.
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ASSESSMENT TASK
TWO
DATA ANALYTICS: FIFA 2019
Contents
2.1 Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
2.2 Task Description . . . . . . . . . . . . . . . . . . . . . . . . . . 7
2.2.1 FIFA19 Data Analytics . . . . . . . . . . . . . . . . . . . . 8
2.2.2 Project Report . . . . . . . . . . . . . . . . . . . . . . . . . 8
2.3 What to Submit? . . . . . . . . . . . . . . . . . . . . . . . . . . 8
2.3.1 Important Dates . . . . . . . . . . . . . . . . . . . . . . . . 8
2.3.2 Files to Submit . . . . . . . . . . . . . . . . . . . . . . . . 9
This task contributes 40% of your fnal SIT742 mark. It can be done in group of 3
members and submitted to CloudDeakin by 23:59pm,
✘23✘=05 ✘=✘2020 ✘✘✘:(Week 30=05=2020 ✚10 ✚>Sunday) 11 .
2.1 Background
Recently, Kaggle (a data science community and competition platform) released one data
set FIFA19, which consists of 18K+ FIFA 19 player with around 90 attributes extracted
from FIFA database. Here, we redistribute this data set for this assessment task:
2020T2Data.csv The fle contains detailed information about each FIFA 19 player.
More information about this dataset can be found at: https://www.kaggle.com/karangadiya/
fifa19.
2.2 Task Description
We provide one Jupyter notebook 2020SIT742Task2.ipynb at https://github.com/
tulip-lab/sit742/tree/master/Assessment/2020, together with 2020T2Data.csv at
the data subfolder.
7
2.3. WHAT TO SUBMIT? )[SIT742](
You are required to analyse this dataset using Jupyter notebook with Spark packages
including spark.sql and pyspark.ml.
2.2.1 FIFA19 Data Analytics
To systematically investigate this dataset, your Jupyter notebook should complete the
following 3 kinds of analysis (80%):
Part 1 – Exploratory Data Analysis data visualization and understanding.
Part 2 – Clustering Analysis Identify the inherent clusters among players, and for each
cluster, identify its profle.
Part 3 – Classifcation Analysis Build classifers to predict the ‘position_group’ of the
player. You are also required to evaluate the performance of at least 3 models using
cross-validation.
2.2.2 Project Report
Based on your implementation as required in Jupyter notebook, you are required to
write a report SIT742T2Report.pdf with 1000 – 1500 words, which should include the
following information:
(1) The required report ‘Section 1’ to ‘Section 3’ (results and analysis) as specifed
in the notebook.
(2) In the report’s ‘Section 4’, discuss any fndings you can reveal from this data set,
such as any rising star? any omni player? etc. (10%)
(3) In the report’s ‘Section 5’, reflect the project group activities, such as the task
distribution and contributions from each group members, and what you have learnt
during this project. (10%)
More information about report writing can be found at: https://www.deakin.edu.au/
students/studying/study-support/academic-skills/report-writing.
2.3 What to Submit?
2.3.1 Important Dates
Please be aware of the following important dates:
Group Sign-Up The group needs to be fnalized on CloudDeakin by 23:59pm, 18=04=2020
(Week 06 Saturday). If any issue or group correction is needed, please send
SIT742 unit chair an email by 23:59pm, 18=04=2020 (Week 06 Saturday).
Final Submission The due date for this assessment task submission is on 23:59pm,
✘23✘=05 ✘=✘2020 ✘✘✘:(Week 30=05=2020 ✚10 ✚>Sunday) 11 .
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)[SIT742]( 2.3. WHAT TO SUBMIT?
2.3.2 Files to Submit
Please familiarise yourself with the General Requirements (see Section 0.2) on Assignments
Submission. By the due date, you are required to submit the following fles to the
corresponding Assignment (Dropbox) in CloudDeakin:
SIT742Task1.ipynb Your Jupyter notebook solution source fle for the data exploration
of the bank marketing data. You can fll your group information at the relevant
place in the frst markdown cell. Please follow the PEP 8 guidelines (Section 3.1)
for source code style.
SIT742T2Report.pdf A 1000-1500 words report describing and discussing your analysis
results, and reflect the project group activities.
No Special Consideration will be granted for this project. Students who have difculty
meeting the deadline because of illness, etc. must apply for an assignment extension no
later than the noon on the day prior to the deadline.
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APPENDIX
THREE
APPENDIX
Contents
3.1 Code Style: Pep 8 . . . . . . . . . . . . . . . . . . . . . . . . . . 11
3.2 Academic Skills . . . . . . . . . . . . . . . . . . . . . . . . . . . 12
3.2.1 How to Find Papers? . . . . . . . . . . . . . . . . . . . . . 12
3.2.2 How to Read Papers? . . . . . . . . . . . . . . . . . . . . . 13
3.2.3 How to Write a Paper? . . . . . . . . . . . . . . . . . . . . 13
3.1 Code Style: Pep 8
Pep 8 is the de-facto code style guide for Python (https://www.python.org/dev/peps/
pep-0008/). Skim the style guide to gain basic understanding of what is required.
Conforming your Python code to PEP 8 is generally a good idea and helps make the code
more consistent when working on projects with other developers.
In your assessment task, if the source code or IPython notebook is to be included, you
are required to format your code so that it meets at least the following major PEP 8
guidelines:
Comment Please follow the following style for Python comments:
1. To explain the functionality of a group of statements, apply block comments
before the statements. Indent the comments to the same level as the code.
2. Write documentation strings (i.e. docstring) for your function.
Code Lay-out Please follow the following style for Python code layout:
1. Blank lines: Surround top-level function and class defnition with two blank
lines. Use blank lines in functions, sparingly, to indicate logical sections.
2. Indentation: Use four white spaces instead of tab for indentation.
11
3.2. ACADEMIC SKILLS )[SIT742](
White spaces in expressions and statements Please follow the following style for Python
while spaces:
1. Surround binary operators with a single space on either side.
2. If operators with different priorities are used, consider add whitespace around
the operators with the lowest priority(ies). However, never use more than one
space.
You should use:
✞
i = i + 1
num += 1
x = x∗2 – 1
✆
rather than this:
✞
i=i+1
num +=1
x = x ∗ 2 – 1 ✆
String quotes Use either single-quoted or double-quoted strings. Pick one of them and
stick to it for consistency. Only use the other one when a string contains single or
double quote characters.
Naming Conventions Make sure the naming of your variable follow consistent style: e.g.
lowercase, lower_case_with_underscores, or mixedCase.
3.2 Academic Skills
3.2.1 How to Find Papers?
For the assessment task in this unit, you can try to fnd some related references from
highly respected journals and conferences. You can fnd papers from Scopus, IEEEXplore,
ACM Portal, Elsevier ScienceDirect, and DBLP 1.
Search engines like Google, Scopus and CiteSeer are widely being used to fnd papers,
though they do not have a warrant for paper quality. Beside above search method, there
are some other tricks which can help you to fnd the most suitable paper:
People/Group Oriented You could frst identify important people/groups in that subdomain by MS academic, and then fnd more related papers from their website.
Citation Oriented You could use search engine, like Google Scholar, to fnd papers with
most citations in that sub-domain. In this way, you can fnd many classical and
influential (but maybe not up-to-date) papers in this sub-domain.
1DBLP only provides paper titles and sources, you need to download the paper from somewhere else.
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)[SIT742]( 3.2. ACADEMIC SKILLS
Top Conference/Top Journal Oriented You could fnd a lot of up-to-date papers on
your topic from the top conferences or top journals. This would help you understand
the state of art of your selected topic. To see which conferences or journals are top
ones, you may refer to MS academic, or Google Scholar.
3.2.2 How to Read Papers?
There are some Research skills articles available on How to Read:
• Michael J. Hanson and Dylan J. McNamee. Efcient Reading of Papers in Science
and Technology
In general it is unnecessary to understand all the details of all papers you collected, let
alone that it is difcult to understand all. When you are reading a paper, you’d better
keep in mind to answer following problems:
1. What is the problem concerned and why this problem is important?
2. How is the problem solved, completely solved or partially solved?
3. Does it have any relationship with other papers you have read?
3.2.3 How to Write a Paper?
There are some Research skills articles available on How to Write:
• Mike Ashby. How to Write a Paper
A frst-time academic author usually lists everything he collected in a survey. A better
way is to fnd a clue from motivations of different works: What’s the goal and what’s the
problem? What’s the frst step, what problems it solved and what problems remained?
So came the second step…Following your clue to answer these kinds of questions.
More Tips
1. When you are writing your report, please assume that your readers know nothing
about your topic.
2. When you are writing your report, please keep your mind clear. It is better to frst
write down a outline.
3. After fnishing your report, please check out your language and logic.
No Plagiarism You should be cautious about the writing. The TurnItIn system will be
used for all SIT742 assignment submissions. Whenever you are using words and works of
others, citations should be made clear such that one can tell which part is actually yours.
IEEE Document “Introduction to the Guidelines for Handling Plagiarism Complaints”
provides details about how IEEE will identify and handle a plagiarism.
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