IAB303 数据分析

Posted 2021-09-03 8qmhfeek

Assessment Task
IAB303 Data Analytics
for Business Insight
Semester I 2019
Assessment 2 – Data Analytics Notebook
Name Assessment 2 – Data Analytics Notebook
Due Sun 28 Apr 11:59pm
Weight 30% (indicative weighting)
Submit Jupyter Notebook via Blackboard
Rationale and Description
Foundational to addressing business concerns with data analytics is an understanding of
potential data sources, the kinds of techniques that may be used to process and analyse
those data, and an ability to present the final analytics in a way that is meaningful for the
stakeholders.
This assessment will involve the creation a Jupyter notebook, demonstrating your
understanding of the technical process required to address a business concern using data
analytics.
You will use your knowledge from the workshops together with the techniques practiced in the
practical lab sessions, and apply both to a selected business scenario. You will not only
perform the necessary steps, but also provide an explanation of your decision process.
Learning Outcomes
A successful completion of this task will demonstrate:

1. An understanding of how a variety of analysis techniques can be used to take raw data
   and turn it into information that is meaningful to a business concern.
2. How a particular business concern shapes the decision-making process in data
   analytics.
3. An ability to select, prepare, and use appropriate data, analysis techniques, and
   visualisations.
4. An understanding of a variety of data sources and the way that the data is structured.
   Essential Elements
   You must submit 1 Jupyter notebook which will:
5. Demonstrate an understanding of:
   a. Selecting and processing data appropriate for required analysis
   b. Selecting and performing analysis techniques appropriate to a business concern
   c. Addressing a business concern through visualisation of analysis
6. Document your decision making with explanations of your choices
   You will use the code cells of the notebook to demonstrate your grasp of analysis techniques,
   and you will use the markdown cells to (a) craft a narrative linking the analysis to a business
   concern, and (b) document your decision making.
   Further detail on the steps required to produce the notebooks is outlined in the ‘detailed
   instructions’ section below.
   Marking Criteria
   This assessment is criteria referenced, meaning that your grade for the assessment will be
   given based on your ability to satisfy key criteria. Refer to the attached Criteria Sheet and
   ensure that you understand the detailed criteria.
   It is important to realise that the assessment does not only require that you know or
   understand, but also that you demonstrate or provide evidence of your understanding. This
   means that you are making your knowledge and understanding clear to the person marking
   your assignment.
   You will not receive marks or percentages for this assessment. You will receive an overall
   grade (e.g. pass - 4, high distinction - 7) based on the extent to which you meet the criteria. In
   general, the most important criteria (criteria 1-5) will be essential to the grade, and the least
   important (criteria 6-7) will affect the grade when important criteria results conflict or are
   ambiguous.
   Detailed Instructions
   The notebook should tell a story (narrative) based on a selected scenario, that starts with the
   data selection, moves through the analysis, and concludes with connecting the visualisation to
   the primary business concern of the scenario. The story should make sense to the
   stakeholders.
   For each step, you must document your decision making and explain why you did what you
   did. This description of thinking should align with the overall narrative.
7. Scenario: This will briefly describe the business, the business concern and its significance
   to the business, and the key stakeholders who have an interest in the concern. Scenarios
   will be provided via blackboard for you to select from. You may choose your own scenario
   only if it is approved (in advance) by a member of the teaching team – it must meet
   minimum standards. A description of how you interpret your scenario should be provided
   at the beginning of your notebook.
8. Data: You will choose a data source appropriate to your scenario, and write the necessary
   code to obtain the data and make it available for analysis in your notebook.
9. Processing: The data may need to be processed prior to analysis. At a minimum it should
   be cleaned, but it may need to be processed in other ways appropriate to your chosen
   analysis technique.
10. Analysis: You will need to select an analysis that is appropriate to your scenario, and which
    also includes:
    a. At least two of: reading and cleaning a text file, parsing unstructured data,
    analysing with social media data.
    b. At least one of: use of open data API or web-scraping.
11. Visualisation: You will need to create a visualisation that is appropriate to your scenario and
    the results of your analysis. You must include at least two different types of visualisation
    (e.g. tabular, graph or chart, annotated text).
12. Connect with concern: You need to connect your visualisation back to the business
    concern in a way that is meaningful to the stakeholders of the business. This may involve
    providing additional descriptive text that explains how the visualisation might address the
    concern.
    Resources
    The following resources may assist with the completion of this task:
    Refer to the workshop and lab notebooks for techniques and discussions of business
    concerns
    Use Slack to exchange code and discuss detail of the task
    Questions
    Questions related to the assessment should be directed initially to your tutor during the lab session or
    on the appropriate slack channel. Your tutor may address these for the benefit of the whole class.
    The teaching team will not be available to answer questions outside business hours, nor immediately
    before the assessment is due.
    Criteria Sheet – Assessment 1 Workbook - IAB303 Data Analytics for
    WX：codehelp