DBA: DBA 730 – Predictive Analytics and Big Data Management
About Course
- This course focuses on predictive analytics techniques and the management of big data systems.
- Students will explore the strategic use of big data for decision-making and business intelligence, learning to apply advanced analytics to extract actionable insights from large datasets.
- The course emphasizes the role of big data in driving competitive advantage and organizational success.
What Will You Learn?
- Demonstrate proficiency in predictive analytics techniques and tools.
- Design and manage big data systems that support organizational goals.
- Apply predictive models to forecast business outcomes and trends.
- Utilize big data for strategic decision-making and competitive advantage.
- Interpret and present data insights to inform business strategy.
Course Content
Week 1: Introduction to Predictive Analytics and Big Data
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Introduction to Predictive Analytics and Big Data
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LO1: Define the concepts of Predictive Analytics and their role in business decision-making
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LO2: Describe the principles of Big Data and its significance in modern organizations
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LO3: Analyze the relationship between Predictive Analytics and Big Data for Business Intelligence
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Multiple Choice questions
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True Or False
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Scenario-Based Multiple-Choice Questions
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Key Terms and Concepts Questions
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Short Answer Questions
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Written Assignment
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Presentation Task
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Role-Playing Activity
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Peer Review Task
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Exercises and Activities Adaptation
Week 2: Data Collection and Management
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Data Collection and Management
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LO1: Explain techniques for Collecting Large Datasets from multiple data sources
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LO2: Illustrate methods for Managing and Storing Large Datasets efficiently
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LO3: Contrast the importance of Data Collection and Data Management in analytics projects
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Multiple Choice questions
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True Or False
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Scenario-Based Multiple-Choice Questions
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Key Terms and Concepts Questions
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Short Answer Questions
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Written Assignment
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Presentation Task
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Role-Playing Activity
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Peer Review Task
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Exercises and Activities Adaptation
Week 3: Fundamentals of Predictive Modeling
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Fundamentals of Predictive Modeling
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LO1: Summarize the fundamentals of Predictive Modeling for business applications
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LO2: Differentiate common Predictive Algorithms and Analytics Tools
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LO3: Analyze how Predictive Models and Algorithms support accurate forecasting
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Multiple Choice questions
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True Or False
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Scenario-Based Multiple-Choice Questions
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Key Terms and Concepts Questions
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Short Answer Questions
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Written Assignment
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Presentation Task
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Role-Playing Activity
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Peer Review Task
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Exercises and Activities Adaptation
Week 4: Big Data Technologies and Platforms
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Big Data Technologies and Platforms
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LO1: Describe the architecture of Big Data Technologies for data processing
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LO2: Compare Hadoop, Spark, and other Big Data Platforms
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LO3: Contrast the suitability of Big Data Technologies and Platforms for business solutions
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Multiple Choice questions
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True Or False
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Scenario-Based Multiple-Choice Questions
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Key Terms and Concepts Questions
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Short Answer Questions
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Written Assignment
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Presentation Task
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Role-Playing Activity
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Peer Review Task
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Exercises and Activities Adaptation
Week 5: Data Preprocessing and Cleaning
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Data Preprocessing and Cleaning
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LO1: Explain techniques for Data Cleaning to improve data quality
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LO2: Apply Data Preprocessing methods to prepare datasets for analysis
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LO3: Assess the contribution of Data Cleaning and Data Preprocessing to predictive accuracy
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Multiple Choice questions
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True Or False
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Scenario-Based Multiple-Choice Questions
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Key Terms and Concepts Questions
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Short Answer Questions
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Written Assignment
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Presentation Task
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Role-Playing Activity
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Peer Review Task
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Exercises and Activities Adaptation
Week 6: Building Predictive Models
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Building Predictive Models
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LO1: Describe the steps involved in Building Predictive Models
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LO2: Examine techniques for Validating Predictive Models
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LO3: Contrast the effectiveness of Building and Validating Predictive Models for business forecasting
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Multiple Choice questions
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True Or False
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Scenario-Based Multiple-Choice Questions
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Key Terms and Concepts Questions
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Short Answer Questions
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Written Assignment
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Presentation Task
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Role-Playing Activity
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Peer Review Task
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Exercises and Activities Adaptation
Week 7: Data Visualization and Interpretation
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Data Visualization and Interpretation
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LO1: Illustrate techniques for Data Visualization using analytical results
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LO2: Interpret Predictive Analytics Results to support business decisions
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LO3: Analyze how Data Visualization and Result Interpretation improve organizational insights
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Multiple Choice questions
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True Or False
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Scenario-Based Multiple-Choice Questions
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Key Terms and Concepts Questions
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Short Answer Questions
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Written Assignment
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Presentation Task
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Role-Playing Activity
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Peer Review Task
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Exercises and Activities Adaptation
Week 8: Midterm Test or Assignment
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Midterm Test or Assignment
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Midterm Test: Multiple Choice questions
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Midterm Test: True Or False
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Midterm Test: Short Answer Questions
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Midterm Test: Scenario-Based Questions
Week 9: Applying Predictive Analytics in Business
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Applying Predictive Analytics in Business
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LO1: Identify Business Applications of Predictive Analytics across industries
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LO2: Examine Industry Case Studies involving Predictive Analytics solutions
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LO3: Analyze how Predictive Analytics Applications improve organizational performance
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Multiple Choice questions
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True Or False
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Scenario-Based Multiple-Choice Questions
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Key Terms and Concepts Questions
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Short Answer Questions
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Written Assignment
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Presentation Task
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Role-Playing Activity
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Peer Review Task
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Exercises and Activities Adaptation
Week 10: Big Data and Business Intelligence
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Big Data and Business Intelligence
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LO1: Describe the role of Big Data in Business Intelligence
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LO2: Compare Business Intelligence Tools and analytical techniques
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LO3: Discuss how Big Data and Business Intelligence support strategic decision-making
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Multiple Choice questions
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True Or False
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Scenario-Based Multiple-Choice Questions
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Key Terms and Concepts Questions
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Short Answer Questions
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Written Assignment
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Presentation Task
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Role-Playing Activity
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Peer Review Task
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Exercises and Activities Adaptation
Week 11: Advanced Predictive Analytics Techniques
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Advanced Predictive Analytics Techniques
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LO1: Explain Advanced Predictive Analytics Techniques for complex data analysis
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LO2: Differentiate Machine Learning and Artificial Intelligence applications in Predictive Analytics
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LO3: Analyze the integration of Advanced Analytics, Machine Learning, and Artificial Intelligence in business
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Multiple Choice questions
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True Or False
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Scenario-Based Multiple-Choice Questions
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Key Terms and Concepts Questions
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Short Answer Questions
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Written Assignment
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Presentation Task
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Role-Playing Activity
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Peer Review Task
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Exercises and Activities Adaptation
Week 12: Ethical Considerations in Predictive Analytics
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Ethical Considerations in Predictive Analytics
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LO1: Describe Ethical issues in Predictive Analytics and data management
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LO2: Explain Data Privacy Concerns associated with Big Data applications
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LO3: Contrast the impact of Ethical Practices and Data Privacy on responsible analytics
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Multiple Choice questions
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True Or False
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Scenario-Based Multiple-Choice Questions
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Key Terms and Concepts Questions
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Short Answer Questions
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Written Assignment
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Presentation Task
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Role-Playing Activity
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Peer Review Task
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Exercises and Activities Adaptation
Week 13: Managing Big Data Projects
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Managing Big Data Projects
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LO1: Summarize Project Management principles for Big Data initiatives
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LO2: Assess Challenges and Solutions in managing Big Data projects
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LO3: Analyze how Project Management practices improve Big Data project success
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Multiple Choice questions
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True Or False
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Scenario-Based Multiple-Choice Questions
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Key Terms and Concepts Questions
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Short Answer Questions
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Written Assignment
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Presentation Task
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Role-Playing Activity
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Peer Review Task
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Exercises and Activities Adaptation
Week 14: Future Trends in Predictive Analytics and Big Data
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Future Trends in Predictive Analytics and Big Data
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LO1: Describe Emerging Trends in Predictive Analytics
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LO2: Examine Emerging Technologies and Challenges in Big Data Management
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LO3: Demonstrate the influence of Emerging Trends and Technologies on future business analytics
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Multiple Choice questions
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True Or False
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Scenario-Based Multiple-Choice Questions
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Key Terms and Concepts Questions
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Short Answer Questions
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Written Assignment
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Presentation Task
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Role-Playing Activity
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Peer Review Task
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Exercises and Activities Adaptation
Week 15: Course Review
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Course Review
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LO1: Summarize the major concepts of Predictive Analytics covered throughout the course
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LO2: Review key Big Data Management principles for final assessment preparation
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LO3: Discuss the integration of Predictive Analytics and Big Data concepts for comprehensive problem-solving
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Multiple Choice questions
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True Or False
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Scenario-Based Multiple-Choice Questions
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Key Terms and Concepts Questions
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Short Answer Questions
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Written Assignment
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Presentation Task
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Role-Playing Activity
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Peer Review Task
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Exercises and Activities Adaptation
Week 16: Final Test Or Project
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Final Test Or Project
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Final Test: Multiple Choice questions
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Final Test: True Or False
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Final Test: Scenario-Based Multiple-Choice Questions
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Final Test: Short Answer Questions
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Final Test: Written Assignment
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Final Test: Presentation Task
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Final Test: Role-Playing Activity
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Final Test: Peer Review Task
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Final Test: Exercises and Activities Adaptation