Data Analytics Capstone - Projects for the Winter Semester (2024)
Chronologie
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janvier 10, 2024Début de Expérience
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janvier 26, 2024Data Understanding/Data Preparation
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janvier 29, 2024Modeling
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février 12, 2024Project Scope Meeting
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avril 4, 2024Final Report
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avril 5, 2024Fin de Expérience
Chronologie
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janvier 10, 2024Début de Expérience
-
janvier 26, 2024Data Understanding/Data Preparation
Following the CRISP-DM methodology, students should generate documentation on data understanding for the data assets available, provided, or to be gathered. Documentation should also be provided on the data preparation steps utilized to prepare the data for further analysis.
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janvier 29, 2024Modeling
Following the CRISP-DM methodology, students should generate documentation outlining the intended/exercised data modeling technique used on the data to generate insight and recommendations.
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février 12, 2024Project Scope Meeting
Meeting between students and company to confirm: project scope, communication styles, and important dates.
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avril 4, 2024Final Report
Following the CRISP-DM methodology, students should generate documentation on the evaluation of the model and results, along with the outcomes of deployment of the model on production data. Any presentation materials and generated reports should be ready for presentation.
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avril 5, 2024Fin de Expérience
Portée de Expérience
Catégories
Technologie de l'information Bases Visualisation des données Analyse des données Modélisation des donnéesCompétences
business analytics business consulting data analytics storytelling and data visualization data analysisIs your organization short on manpower for a given data analysis project? Are you a firm that is looking to explore the value of data analytics? Students in the Mohawk College analytics program are trained in data extraction and transformation as well as data preparation, data modeling and reporting on pre-existing data gathered by the organization. These students will work with your organization to analyze data sets and provide any recommendations they may have as a result of the analysis.
Apprenant.es
The final project deliverable will include:
- A 10 to 20-page report outlining the work they performed, any analysis they conducted including visualizations and any recommendations they may have as a result of analysis.
- A 20-minute presentation of the project and results to the industry partner and classmates.
Chronologie du projet
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janvier 10, 2024Début de Expérience
-
janvier 26, 2024Data Understanding/Data Preparation
-
janvier 29, 2024Modeling
-
février 12, 2024Project Scope Meeting
-
avril 4, 2024Final Report
-
avril 5, 2024Fin de Expérience
Chronologie
-
janvier 10, 2024Début de Expérience
-
janvier 26, 2024Data Understanding/Data Preparation
Following the CRISP-DM methodology, students should generate documentation on data understanding for the data assets available, provided, or to be gathered. Documentation should also be provided on the data preparation steps utilized to prepare the data for further analysis.
-
janvier 29, 2024Modeling
Following the CRISP-DM methodology, students should generate documentation outlining the intended/exercised data modeling technique used on the data to generate insight and recommendations.
-
février 12, 2024Project Scope Meeting
Meeting between students and company to confirm: project scope, communication styles, and important dates.
-
avril 4, 2024Final Report
Following the CRISP-DM methodology, students should generate documentation on the evaluation of the model and results, along with the outcomes of deployment of the model on production data. Any presentation materials and generated reports should be ready for presentation.
-
avril 5, 2024Fin de Expérience
Exemples de projets
Exigances
Beginning in January, students in groups of 1-4 will spend 42+ hours spread over 12 weeks assisting your company by providing analytical research and recommendations tailored to one of your company’s data opportunities or challenges.
Students may work with the company in one of three ways:
- Assist organizations in data gathering research and/or prepare data for future use by the organization. Students can help design and model databases to gather and store data for future analysis.
- Assist organizations in preparing existing data for analysis. Students may perform data quality checks, data cleaning, and data transformation exercises on existing data to ready data for analysis by the organization.
- Assist organizations in data analysis. Using organizational data, students may conduct data analysis and design data analytics reports to be delivered to the firm.
Project examples include but are not limited to:
- Analysis of customer segmentation relative to different products and services, to enhance marketing campaigns and refocus your products/services.
- Investigate predictive models to understand trends in sales, attrition rates, and profits that impact your business.
- Propose new ways to visualize data through tables and plots that can provide new insights for managers.
Critères supplé mentaires pour Compagnie
Les Compagnies doivent répondre aux questions suivantes pour soumettre une demande de jumelage pour cette Expérience:
Chronologie
-
janvier 10, 2024Début de Expérience
-
janvier 26, 2024Data Understanding/Data Preparation
-
janvier 29, 2024Modeling
-
février 12, 2024Project Scope Meeting
-
avril 4, 2024Final Report
-
avril 5, 2024Fin de Expérience
Chronologie
-
janvier 10, 2024Début de Expérience
-
janvier 26, 2024Data Understanding/Data Preparation
Following the CRISP-DM methodology, students should generate documentation on data understanding for the data assets available, provided, or to be gathered. Documentation should also be provided on the data preparation steps utilized to prepare the data for further analysis.
-
janvier 29, 2024Modeling
Following the CRISP-DM methodology, students should generate documentation outlining the intended/exercised data modeling technique used on the data to generate insight and recommendations.
-
février 12, 2024Project Scope Meeting
Meeting between students and company to confirm: project scope, communication styles, and important dates.
-
avril 4, 2024Final Report
Following the CRISP-DM methodology, students should generate documentation on the evaluation of the model and results, along with the outcomes of deployment of the model on production data. Any presentation materials and generated reports should be ready for presentation.
-
avril 5, 2024Fin de Expérience