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Assignment: Data Science Project Proposal For this assessment task, you are required to write a report and prepare a 5 minute presentation regarding a chosen business and data proposal. A draft of the...

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Assignment: Data Science Project Proposal
For this assessment task, you are required to write a report and prepare a 5 minute presentation regarding a chosen business and data proposal.  A draft of the first two sections of your report is due week 8, the final report is submitted in week 11, and the slides (consisting of a maximum of 5 slides) week 12 before lecture. The 5 minute presentation is given in week 12 during your assigned tutorial. You will also be required to review and provide feedback on presentations of other students (peer-review) during the final tutorial in week 12.
Your report should have at least five sections:
· Project Description: provide a description about the data science project that you study/propose, what the project is about, and what data science roles are involved in these project and what are their responsibilities.
· Business Model: provide analysis about the business/application areas the project sits in, what are the challenges of the project, what kind of values the project can create for the specific  business area, etc.
· Characterising the Data and Data Processing: characterise the data in the project (i.e., the V's), provide analysis on the required technologies for data processing according to the specific data characteristics.
· Resources: locate and assess potential resources, software and tools for the project.  Especially, what are your data sources?
· Data Analysis: specify/propose the statistic methods used in the project, provide analysis on why you chose those methods and discuss about the high level output.
Propose completely new data science work for government sectors in Melbourne.
Note, if we really like your project ideas, we may ask your permission to bo
ow some parts for an Industrial Experience project the following year.
Before you begin
Before starting your project, you should:
· Read the business and data case study example topics and propose your own topic.
· Have a look at examples of good past student reports .
What you need to do and due dates
Choose a topic and then:
· Write the initial two sections (Project Description and Business Model) of the report and submit them first. It should be upto 1000 words. 
· Prepare the rest of your report (maximum 3000 words total). 
· Submit an exact copy of your report to Turnitin as well as through the assignment submission page.  You can submit earlier copies to check if they trigger Turnitin's database.  You can submit updates too.  But you have to do a final submission before the deadline.
How you will be assessed
Clear description of the goals of the project, appropriateness of topic, clear description of the business benefits, novelty/creativity, overall clarity of the initial report.
Assessment will be assessed on your ability to:
· analyse the role of data in the business model
· discuss different 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.
· analyse the size and scope of data storage and data processing, and present the basic technologies in use.
· locate and assess resources, software and tools for a data science project.
· discuss the kinds of data analysis and statistical methods suitable for the data science project
· think critically and creatively, provide justification and analysis;
Word limit
The maximum word limit for the final report is 3000 words. References at the end of the report (consisting of a list of URLs and/or cited reports) are not included in the word count. 
Further advice on the assignment:
Here is some further advice from the lecturer and tutors regarding the assignment:
1. Make sure to carefully read the assignment specification above.
2. The project should be data-centred -- ideally combining multiple sources of data to develop a predictive model that can solve a real-world problem.
3. The project should contain a clear statement of the problem being tackled. What is the objective/purpose of the project? Have a look at the structure of the case studies in the NIST document -- each one starts with a clear definition of the problem.
4. Make sure that the benefit of the project is clear. What is it? Will the project have a financial benefit, or result in a social good?
5. The report needs to be "telling a story", and to be convincing somebody to "invest in your project" so that it can be built.
6. Try not to make the project too
oad. -- It should be an achievable data science project.
7. Include graphics to support claims. For example, depending on your project it may (or may not) make sense to include:
· an influence diagram showing what data is available and how it relates to the decisions and objectives of the project,
· graphs showing some exploratory data analysis (if applicable).
8. Make sure you understand the difference between business models and data models. -- They are not the same thing!
9. Read up as much as you can on the particular topic you've chosen in order to be able to describe the data (and software) requirements of the project.
10. Make it clear where the data would come from for the project: 
· Is the data proprietary? How would it be collected? 
· If the data is public, you could even do some exploratory data analysis on it.
11. What processing would be needed? How would the data need to be processed before it can be used? What software might be needed? Can the processing be distributed?
12. Finally, make sure you've seen the set of possible section headings suggested above and had a look at the examples of reports from past years. (Note though that the assignment specifications were different last year.)



Microsoft Word - Assessment task 3.docx
    
WATER    RESOURCE    ANALYSIS    IN    
MELBOURNE    
    
    
    
Semester    1,    2016    
FIT5145    –    Introduction    to    Data    Science    
Lecturer:    Wray    Buntine    
Tutor:    Asef    Nazani    
Assessment    Task    3    –    Business    and    Data    Case    Study    Report    
Student:    XXX    
ID:    XXX    
         
ABSTRACT    
Since    2012    Melbourne’s    water    storage    levels    can    be    topped    up    by    water    orders    from    the    desalination    plant.    By    
using    predictive    water    storage    modelling    a    sensitive    decision    about    placing    an    order    and    its    height    can    be    
eached.    For    this    data    like    streamflows    and    storage    levels,    meteorological    predictions    and    water    consumption    
forecasts    has    to    be    collected    and    taken    into    account.    All    of    this    is    part    of    an    intricate    data    science    process.            
    
    
    
    
    
    
    
TABLE    OF    CONTENT    
Abstract    ..................................................................................................................................................    2    
Table    of    Content    .....................................................................................................................................    2    
1.     Project    Description    ......................................................................................................................    3    
1.1.    Background    ..................................................................................................................................    3    
1.2.The    Project    ....................................................................................................................................    3    
2.     The    Business    Model    .....................................................................................................................    3    
3.     Characterising    the    Data    and    Data    Processing    ..............................................................................    4    
4.     Data    Analysis    .....................................................
Answered Same Day Apr 24, 2020 FIT5195 Monash University

Solution

Monika answered on Apr 28 2020
119 Votes
A Project proposal of renewable energy
(
[Type the company name]
18
A Project proposal of renewable energy
[Type the document subtitle]
)
Table of Contents
Abstract
1) Project description
1.1) Background
1.2) The Project
1.3) Objectives and values
1.4) Key Activities
2) Business Model
Abstract
The clean source of energy is renewable energy technology because it has lower environmental impact in comparison to conventional energy technology. In future, Australia is moving towards climate change and ca
on emission. By using solar energy Australian renewable energy agency developed new solar cell and material with enhanced performance that improve the durability and efficiency of photovoltaic cell. There are several number of renewable energy project run by government, public agency and local community. These projects improve our health economy and environment.
Project description
Background
Renewable energy project are very precious for human being in Australia. At the time of industrial revolution most of energy that are used for heating and lighting is renewable energy means before the discovery of coal. In Melbourne, there are a large number of veichles and train so that this pollution takes ca
on emission and climate change. Australian renewable energy agency (ARENA) is allocating funds to set up solar and winds farms(Bailey,2009). The renewable contribution to total primary energy supply (TPES) is defined as renewable energy. The geothermal, solar, wind, tide and wave source are renewable primary energy. This energy derived from biogas bio diesels, solid bio fuels, and liquid bio fuels. These bio fuels are wastage such as ethanol, wooden waste material, animal material and sulphite.
The Project
Here data science project is renewable energy project proposal. Renewable energy are solar energy, wind energy and electricity. A new wind farm (small agriculture farm) at crowlands’ construction is supported by the Melbourne renewable energy project (MREP). The approach of MREP enables corporation, institution and cities to perform an active role in renewable electricity supply security and take an action on climate change because in power of coming together believed by us. The energy cost in market is very high. It will be critical for Melbourne city to achieve CO2 reduction target. The aim of Melbourne energy project is reduction in annual emission of...
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