Platforms for Data Analytics
Project goal:
The goal of this project is to demonstrate your application of course concepts and achieve the following learning outcomes:
Identify common data issues and rectify simple problems, such as data type errors and missing data.
Apply basic statistical concepts to derive insights from everyday data tasks.
Use Tableau or Power BI to perform data clean-up, visualizations, and dashboard creation.
Effectively communicate results using storytelling or other techniques.
Demonstrate a clear understanding of creating dashboards and reports using Business Intelligence tools.
Demonstrate a clear understanding of data modelling and data importing.
Project overview:
For the project, you are required to create TWO dashboards based on real-world cases using either Tableau or Power BI. The project should encompass the processes of Data Understanding, Data Importing, Data Cleaning, Data Processing, Statistical Analysis, Visualization, and Storytelling.
project Specifics:
1. Tools: Use either Tableau or Power BI for this assignment.
2. Data Selection: Select a dataset from a real-world context, which could pertain to various domains such as Entertainment, Sales, Business, Marketing, Finance, or others.
3. Dashboard Design: Create two dashboards that effectively communicate insights
derived from the selected dataset. Consider layout, design, visualizations, and interactivity to
enhance user experience.
4. Techniques: Apply techniques such as filtering, DAX operations, creating new fields, and measures to your data visualizations.
5. Report: Prepare a report with a word count between 600-800 words (excluding
references) that explains your approach, the dataset used, the insights derived, and how your dashboards address the learning outcomes.
Report Document Template:
1. Table of Contents: Clearly list sections with page numbers.
2. Introduction: Briefly introduce the project and your approach.
3. Dashboard Descriptions: Explain the design and insights of both dashboards.
4. Report: Present insights derived, relevance to learning outcomes, and how the tools were effectively used.
5. Conclusion: Summarize key points.
6. References: Cite data sources, tools, and references.
