Reference no: EM133118735
SIT112 Data Science Concepts - Deakin University
Assignment One:
The theme for this assignment is to explore data related to COVID-19. In particular, we will use a public dataset (provided by OWID - Our World In Data website), which provides up-to-date information on COVID-19 epidemic parameters and evolution, as well as economic and sociological parameters for all countries of the world. Our data strategy and task specifications for this assignment will focus on the analysis and descriptive analytics of how COVID spreads in the world.
Task Description
There are two main tasks for this assignment:
• Construction of the data dictionary and
• Data analytics tasks to perform data analysis and descriptive analytics.
Construction of the Data Dictionary
For a data scientist, after obtaining the dataset, the first most crucial task is to obtain a good understanding of the data they are dealing with. This includes: examining the data attributes (or, equivalently, data fields), seeing what they look like, what is the data type for each field, and, from this information, determining suitable analysis tools. A systematic approach to this process, as we have learned from the lectures and practical sessions, is to construct a data dictionary for the dataset.
You are required to prepare two sheets in your data dictionary Excel file:
• Dataset description
• Attribute dictionary
The total for this task is 35 marks. The data description sheet is worth 5 marks. The attribute dictionary is worth 30 marks, where each correct attribute specification and justification are worth 2.5 marks. Name your solution as [YourID]_datadictionary.xls and submit this file.
Data analytics tasks
A Jupyter Notebook file assignment1_notebook.ipynb has been prepared for you to complete this task. Download this notebook, load it up to Jupyter and follow instructions inside the notebook to complete this task.
Attachment:- Data Science Concepts.rar
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