Data Visualization
General
- Diploma; 2nd year
- 25 learners; teams of 4
- 30 hours per learner
- Dates set by experience
- Learners self-assign
Preferred companies
- 3/5 project matches
- Anywhere
- Academic experience
- Any
- Any
Categories
Skills
Project timeline
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October 9, 2021Experience start
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October 9, 2021Project Scope Meeting
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November 19, 2021Midway check in
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January 2, 2022Experience end
Timeline
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October 9, 2021Experience start
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October 9, 2021Project Scope Meeting
Meeting between students and company to confirm: project scope, communication styles, and important dates.
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November 19, 2021Midway check in
Students to report on progress in work, outline any ongoing challenges. Employer to report on preliminary work satisfaction to educator
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January 2, 2022Experience end
Overview
- Details
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Is your company looking to gain uncover trends and patterns in data, through effective visualization thereof?
Our students from Langara College are eager to effectively communicate both qualitative and quantitative data in tables, charts, and infographics. They have learnt and can apply colour theory, visual perception, and cognition, as well as design principles in the development of appropriate data visualizations for your company.
- Learner skills
- Business analytics, Data visualization, Python r, Deep learning, Data mining and analysis
- Deliverables
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Final deliverables will include:
- A slide deck with conclusions and recommendations for a 15-minute consulting presentation.
- A written report with details of the predictive models that were developed, including insights and overall recommendations that are inferred from such models.
- All applicable source code.
Project Examples
Students may work with the company on any of the following topics:
- Identify and interpret informative patterns and trends in data.
- Select the appropriate type of visualization to answer an organizational question.
- Create effective visualizations representing the relationships contained in complex data sets for both qualitative and quantitative data.
- Create data visualizations that adhere to ethical principles and standards for data presentation, storage, citation, and protection.
- Incorporate data visualization techniques in presentation and reports.
- Support your visualizations with written and oral explanations of their interpretations.
Additional company criteria
Companies must answer the following questions to submit a match request to this experience:
Provide a dedicated contact who is available to answer periodic emails or phone calls over the duration of the project to address students' questions.
Specific data to be provided by company? (Ask Chinmaya)
Be available for a quick phone call with the instructor to initiate your relationship and confirm your scope is an appropriate fit for the course.