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IAB303 Data Analytics

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Question:

Data Analytics Notebook

This assessment will involve the creation of two Jupyter notebooks, demonstrating your understanding of the technical process required to ask good questions and obtain meaningful answers using data analytics.

You will use your knowledge from the studio sessions together with the techniques practiced in the tutorial sessions, and apply both to completing a basic skills notebook, and creating another notebook that uses data analytics to address a business concern. You will not only perform the necessary analysis steps, but also provide an explanation of your decision process.

Essential Elements

You must submit 2 Jupyter notebooks which together will:

  1. Demonstrate an understanding of the data analytics cycle: interpreting question, selecting and processing data, analysing data, visualising analytics, and deriving insight from the data analytics appropriate to the question.
  1. 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 the question, and (b) document your decision making.

Further detail on the steps required to produce the notebooks is outlined in the ‘detailed instructions’ section below.

Two Parts: Basic Techniques (Part A) and Addressing Questions (Part B)

The assessment will be completed in 2 parts:

  • PART A – Complete the provided Jupyter notebook to demonstrate your basic skills. This part will be computer marked, and you will be able to submit up to a maximum of 3 times prior to the due date for marking. You can address errors until you successfully answer all questions. Marking will occur on the following Fridays: 7th, 14th, and 21st August. You will need to submit your attempt to Blackboard on the Thursday night before in order to have it marked the following morning. Marking from your attempt will be provided to you via email. Answering all questions correctly will guarantee a pass (grade of 4) for this assessment. It is strongly recommended that you aim for success early on Part A, so that you can focus most of your time on Part B of the assignment.
  • PART B – In a single Jupyter notebook (use the template provided), address 1 of the scenarios provided (below). You should clearly document your analysis and demonstrate the full data analytics cycle at least once. Note: you may need more than one cycle to properly address a scenario, as the scenario may suggest more than one question.

Questions

  1. Your small business client is a local Brisbane coffee shop which is gaining popularity. The owner is wanting to capitalise on this popularity by opening two drive-through coffee outlets on busy Brisbane roads in two of the following areas (Bayside, Inner North, Inner South, or Western Suburbs). They want to know what location might be best, and why, and the location of competitors and how they are marketing their products.

  2. Your company specialises in travel advise for tourists coming to Australia. They are looking to create an app that provides low cost experiences around Brisbane by linking together public transport, public parks and spaces, museums, galleries, and also free public events. They would like to know if this idea is possible.

  3. A group of surfers want to start a business that connects tourists with a 24 hour surfing experience on north or south coasts, involving overnight accommodation and transport to a local surf spot. In order to deliver best experience within a fixed cost, they need to balance distance and traffic with weather and wave height. They want to know the best period of the year to run this service, which areas should be used for the overnight accommodation, and whether they can get near realtime data to allow them to decide which beach they are travelling to before 5:00am (their planned pickup time from the hotel).

IAB303 Data Analytics

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