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The Analytics Practicum module (ANLY482) is a compulsory module for those who are taking the Analytics Second Major program. It involves a project that assess the students' ability to apply analytics in real-time events extensively. These projects come from both the academics and industry. Students can also get a good sense of how analytics are used in their field of study.
Prerequisites
Analytics Foundation is a Pre-Requisite It is recommended to take the Practicum course after completing 2 to 3 other analytics electives in order to make the most of the Practicum course. Each listed Analytics Practicum project, might have a list of additional recommended courses which are closely associated with the project area and will come in handy if you take up that project.
Objectives Through this course, students will: Apply fundamentals of business analytics in solving a real world problem including the formulation of a business problem and developing a data driven approach to solve it. Students will also get an opportunity use industry tools for data exploration and apply analytical techniques to uncover insights on a dataset By the end of this course students will be able to understand and appreciate the nuances involved in applying analytics in their area of specialization
Learning Outcomes
- 1. Integration of business & technology in a sector context
- 1.1. Business IT value linkage skills
- Understand business requirement and the connection to IT technology.
- Identify potential IT solutions made possible by the Analytics.
- 1.2. Cost & benefits analysis skills
- Perform data analysis and evaluate cost and benefits of various components of the situation and come up with an analytical data driven framework
- Identify problem variables and task constraints in corresponding business settings.
- 1.3. Business software solution impact analysis skills
- Propose proper data driven solutions for the particular business scenario.
- Evaluate the pros and cons of various solutions for a given problem depending on the assumptions, and understand the limitations of each.
- Identify the corresponding variables and parameters, and understand the different ways to set proper parameters for the proposed analytical solution.
- 2. IT architecture, design and development skills
- 2.1. System requirements specification skills
- 2.2. Software and IT architecture analysis and Design skills
- Analyze data characteristics and propose appropriate target problems and solutions based on the given input data
- 2.3. Implementation skills
- Use the provided software system to implement solutions by setting the correct parameters and choosing the right methodology.
- 2.4. Technology application skills
- Learn to use enterprise-level data sources and work with them
- Learn to use statistical software
- 3. Project management skills
- 3.1. Scope management skills
- Propose target problem and potential solutions based on the given data. Settle down project details through consultation with the course instructor.
- 3.2. Risks management skills
- 3.3. Project integration and time management skills
- Integrate different analytical techniques into the project based on the course schedule and budget the time
- 3.4. Configuration management skills
- 3.5. Quality management skills
- 4. Learning to learn skills
- 4.1. Search skills
- Search relevant research results and question answers for the project.
- 4.2. Skills for developing a methodology for learning
- 5. Collaboration (or team) skills
- 5.1. Skills to improve the effectiveness of group processes and work products
- Integrate business analysis and technical solutions in a team-collaborating setting
- 6. Change management skills for enterprise systems
- 6.1. Skills to diagnose business changes
- 6.2. Skills to implement and sustain business changes
- 7. Skills for working across countries, cultures and borders
- 7.1. Cross-national awareness skills
- 7.2. Business across countries facilitation skills
- 8. Communication skills
- 8.1. Presentation skills
- Present effectively the motivation and main ideas of the project.
- Explore the technical details of the solution to a reasonable depth suitable for the target audience
- 8.2. Writing skills Organize the content of the project in a coherent and logical way in writing
Welcome to the Analytics Practicum (ANLY482)!
