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Capstone Project Resource List
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About
This resource provides a curated list of project datasets intended for use in advanced data analysis and final certification projects. The goal is to facilitate the selection of challenging, real-world business scenarios, enabling users to practise skills such as data organisation, manipulation, visualisation, and business decision-making based on derived insights. Selecting an appropriate set of data is crucial for developing a unique portfolio piece that serves as an introduction to potential employers, focusing on in-demand sectors like retail, finance, and human resources.
Columns
The structure details four critical pieces of information for each potential project:
- Conjunto de dados (Dataset Name): Identifies the specific dataset option available for the analysis project.
- Descrição (Description): Offers a concise summary of the data’s origin and thematic content. For example, descriptions include fictional data simulating employee performance or real-world records of restaurant directories.
- Link (Link): Provides the specific external URL, such as a Kaggle link, for accessing the underlying data files.
- Temas (Themes): Lists the key sectors or subject areas relevant to the dataset, such as tourism, banking, or sales.
Distribution
The data is presented in a tabular format. The metadata itself contains information on 8 unique project options. The file size of this metadata list is 2.56 kB. All 4 columns are listed as 100% valid, with no missing or mismatched values across the 8 unique records.
Usage
This selection resource is ideally suited for:
- Selecting a relevant business scenario to define analytical questions.
- Identifying datasets requiring substantial cleaning and processing, which is essential for transforming and manipulating data, particularly concerning duplicates or varied formats.
- Developing data visualisations in Business Intelligence tools, such as Power BI, to support conclusions and recommendations.
- Building a differentiated data analysis portfolio that showcases the ability to understand the flow and steps of an analytical process.
Coverage
The data covers diverse, high-demand business sectors globally, including resources related to Human Resources (IBM), e-commerce (Brazil), Real Estate (Melbourne, Australia), Tourism (Bangalore, India and São Francisco), and Finance/Banking (Credit Card Transactions). Users are encouraged to focus on areas where data analysts are in high demand, such as insurance, retail, and telecommunications.
License
CC0: Public Domain
Who Can Use It
Intended users include students pursuing data analysis certification who need to demonstrate mastery of learned techniques. It is essential for those preparing for the job market who require a high-quality final report focused on actionable conclusions and recommendations, supported by deep data analysis. It also supports coaches reviewing the analytical findings of candidates.
Dataset Name Suggestions
- Capstone Project Resource List
- Data Analyst Portfolio Options
- High-Demand Business Case Selection
- Certified Data Project Guide
Attributes
Original Data Source: Capstone Project Resource List
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