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BUS610: Advanced Business Intelligence and Analytics
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Course Introduction
Course Syllabus
Unit 1: Business Intelligence Overview
1.1: What is Business Intelligence?
1.1.1: What Business Intelligence is Not
1.1.2: Business Intelligence vs. Competitive Intelligence
1.1.3: From Systems Engineering to Business Engineering
1.2.1: Contemporary Applications
1.2.2: BI Approaches for Each Lifecycle Stage
1.2.3: BI for Prediction
1.3: The Future of BI
1.3.1: Adapting Business Models to Globalization and Technology
1.3.2: Maintaining the Firm-Centric Approach
1.3.3: Incorporating Data from the Internet of Things (IoT)
Unit 1 Discussion
Unit 1 Study Resources
Unit 1 Assessment
Unit 2: BI as Business Support
2.1: Defining the Problem
2.1.1: Framing Internal Client Discussions
2.1.2: Drafting the Terms of Reference (TOR)
2.1.3: Negotiating the Project Scope
2.2: The Art and Science of Decision-Making
2.2.1: Thinking about Thinking
2.2.2: Use Analysis, or "Go with Your Gut"?
2.2.3: Decision-Making Approaches
2.2.4: Structuring Decision-Making Effectively
2.3: Using Data to Make Decisions
2.3.1: Everyday Data
2.3.2: Why Expert Judgement is No Better than Yours
2.3.3: How Forecasting can Help Decision-Making
Unit 2 Discussion
Unit 2 Study Resources
Unit 2 Assessment
Unit 3: Data Mining and Text Mining
3.1: Understanding Big Data
3.1.1: What is Big Data?
3.1.2: Where Does Big Data Live?
3.2: Data and Text Mining
3.2.1: Data Mining Techniques
3.2.2: Text Mining and the Complications of Language
3.3: Evaluating Source Data
3.3.1: Identifying Data Sources
3.3.2: Source Evaluation Trust Matrix
3.4: Data Optimization
3.4.1: Preparing Data
3.4.2: Standardization
3.4.3: Combining Data from Different Sources
Unit 3 Discussion
Unit 3 Study Resources
Unit 3 Assessment
Unit 4: Data Warehousing and Integration
4.1: The History of Data Storage
4.1.1: Early Days
4.1.2: The Evolution of Data Storage
4.2.1: How Data Warehousing Works
4.2.2: Common Methods and Tools
4.3.1: Local Data vs. Cloud Storage
4.3.2: Beyond the Cloud
Unit 4 Discussion
Unit 4 Study Resources
Unit 4 Assessment
Unit 5: Data Analytics
5.1: Overview of Data Analysis
5.2: Analytic Techniques
5.2.1: Decision trees
5.2.2: Structured Analysis of Competing Hypotheses (SACH)
5.2.3: Predictive Modeling
5.2.4: Other Popular Methods
5.3: Real-World Problem-Solving
5.3.1: Scenarios
5.3.2: Simulations
Unit 5 Discussion
Unit 5 Study Resources
Unit 5 Assessment
Unit 6: Data Reporting and Visualization
6.1: Effective Data Visualization
6.1.1: A Picture Really Is Worth a Thousand Words!
6.1.2: Interpreting and Evaluating Visualizations
6.1.3: Excel and Other Visualization Products
6.2.1: On-Line Analytical Processing (OLAP)
6.2.2: How Can Machines and Humans Work Together?
6.2.3: What Happens to Humans When Machines Learn Faster?
6.3.1: How to Write a Report that Influences Managerial Decisions
6.3.2: The Art of the One-Page Memo
6.3.3: BLUF (Bottom-Line Up Front) instead of BLAB (Bottom Line At Bottom)
6.3.4: Evaluating and Expressing Confidence Levels
Unit 6 Discussion
Unit 6 Study Resources
Unit 6 Assessment
Unit 7: Data Analysis Dashboards
7.1: Elements of a Dashboard
7.1.1: Form Over Function?
7.1.2: Gauging User Experience
7.2: Using a Dashboard
7.2.1: Dashboards for Monitoring
7.2.2: Dashboards for Predicting
7.3: Common Designs, Uses, and Limitataions
7.4.1: Determining Appropriate Performance Indicators
7.4.2: Selecting a KPI Template
Unit 7 Discussion
Unit 7 Study Resources
Unit 7 Assessment
Unit 8: Project Management
8.1: Reviewing Requirements
8.1.1: Did We Answer the Question?
8.1.2: Was the Question the Right One?
8.2: Report Formatting and Accountability
8.2.1: Using Style to Enhance Credibility
8.2.2: Know Your Decision-Maker
8.3.1: Small Group Dynamics
8.3.2: Managing Teams
8.4.1: Risks and Rewards
8.4.2 :Going with Your Gut
8.4.3: Mentorship and Growth
8.4.4: Identifying and Managing Risks
Unit 8 Discussion
Unit 8 Study Resources
Unit 8 Assessment
Study Guide
Course Feedback Survey
Certificate Final Exam
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English as a Second Language
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College Success
Computer and Information Technology
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Writing and Soft Skills
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Mathematics
Physics
Social Science
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