Data analytics & Decision Making
General
- Workforce Development; 1st year
- 4 learners; teams of 4
- 40 hours per learner
- Dates set by experience
- Learners apply to projects
Preferred companies
- 10/10 project matches
- Canada
- Academic experience
- Family owned, Large enterprise, Non profit, Small to medium enterprise, Social enterprise
- Any
Categories
Project timeline
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February 1, 2024Experience start
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February 16, 2024Data preparation
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February 29, 2024Modeling
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March 8, 2024Diagnostic Analysis
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March 23, 2024Completion
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March 29, 2024Experience end
Timeline
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February 1, 2024Experience start
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February 16, 2024Data preparation
Data Gathering & Cleasing
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February 29, 2024Modeling
Initial Pattern mining and Modeling
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March 8, 2024Diagnostic Analysis
Model diagnostic & validation
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March 23, 2024Completion
Prepare the report and present the final results
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March 29, 2024Experience end
Overview
- Details
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Hunting value from the existing data is nowadays playing a crucial role in business competence, A group of capable & experienced students in my Advanced Data Analytics course are ready to dive in a data analytic project, aiming at helping business exert value out of the data. From KPI monitoring to sales and marketing prediction; from resource optimization to managerial decision making.
The group consists of students from various backgrounds - mathematics, statistics, computer science and MBA, with different level of experiences in industry. Applying contemporary data analytics techniques into practical projects surely will help them acquire proficiency for their future career.
- Learner skills
- Python, Ms power bi, Ms excel, R, Database
- Deliverables
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The goal of the project is to deliver competitive advantages to business from the existing data. Upon the completion of a project, a comprehensive report is presented with highlights given on valuable hidden patterns. For Decision Analytics, insightful suggestions that address the business resources optimization will be provided.
Project Examples
This group is capable of conducting data analytics tasks on
- Exploratory data analytics, combined with data visualization, to help business identify micro patterns from daily transactional data and Web logs.
- Data mining/Machine learning, to help business understand mid-term to long-term patterns from data such as customer's behavior, seasonal or annual sales & demands prediction. Notable projects including IMDB and Twitter Sentiment Analysis, data analysis for Canadian retailer stores, real estimate market analysis
- Decision making, to help business control the utilization of production or service resources so as to maximize the profit expectation.