代写07 36323 Business Analytics代做Python语言

Assignment Remit

Programme Title	MSc Accounting
Module Title	Business Analytics
Module Code	07 36323
Assignment Title	Individual analytics portfolio
Level	M
Weighting	20%
Hand Out Date	06/02/2024
Due Date & Time	22/04/2024	12noon
Feedback Post Date	14/05/2024
Assignment Format	Other
Assignment Length	6 analytics tasks with commentary
Submission Format	Online		Individual

Assignment:

This assignment is based on the analytics tasks we will be undertaking in the Tableau

seminars during the module as well as the requirement for you to complete the Python module from datacamp below.

https://app.datacamp.com/learn/courses/intro-to-python-for-data-science

The aim is for you to build up a personal portfolio of completed tasks that show you

developing skills. We want you to build the confidence to develop your own solutions to

data manipulation and communication tasks as well as your technical skills in Excel, Python and  Tableau. Developing these skills will allow you to contribute to the group assessment   task in full.

The five Tableau seminars will start with basic Tableau analytics tasks and will build up to complex dashboards and data stories. This will be a learning journey for you and this

assignment will help you record and reflect on your progress. Each task will be handed out before the seminar, and you will have a chance during the seminar and afterwards to

develop and refine your own work. For each task we will be using the Tableau software that  forms the core of the module’s technical content and you should provide a link to your work by uploading it to the tableau public gallery.

In your portfolio we will require you to provide a short reflection on what you learned

undertaking the task, the strengths and weaknesses of your solution and how the skills

developed may be used in other tasks. This will also include reflections on the programming language Python as well as work with Excel.

You will be required to reflect on your use of Tableau verbally in a seminar and this will form part of the assessment criteria.

Module Learning Outcomes:

In this assessment the following learning outcomes will be covered:

•   Select, apply, and evaluate common analytics techniques and implement them using appropriate software tools.

•    Develop solutions to analytics problems using Python.