Difference between revisions of "Main Page"
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=== Learning Outcomes === | === 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)! | '''Welcome to the [[Analytics]] Practicum (ANLY482)! | ||
Revision as of 11:56, 26 June 2015
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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)!
