Data Analytics for Project Management

Overview

Data Analytics in Project Management" is an insightful course designed to bridge the gap between traditional project management practices and the emerging field of data analytics. This course is tailored for individuals keen on harnessing the power of data to drive project success.

Over the duration of this course, learners will delve into the fundamentals of data analytics, understanding its significance and application in various stages of project management.

Syllabus

• Introduction to Data Analytics in Project Management
Overview of Traditional Project Management Practices
Introduction to Data Analytics
Bridging Project Management and Data Analytics
• Fundamentals of Data Analytics
Key Concepts and Terminologies
Types of Data and Data Structures
Introduction to Data Collection and Storage
• Tools and Technologies
Overview of Data Analytics Tools
Introduction to Software and Platforms (e.g., Excel, Power BI, Tableau)
Data Management and Manipulation Tools
• Data-Driven Decision Making
Importance of Data-Driven Decision Making in Projects
Analyzing and Interpreting Data
Developing Insights from Data
• Data Analytics Frameworks and Methodologies
Data Analysis Life Cycle
Introduction to Descriptive, Predictive, and Prescriptive Analytics
Case Studies of Data Analytics in Project Management
• Data Collection and Management in Projects
Designing Data Collection Processes
Ensuring Data Quality and Integrity
Data Privacy and Security Considerations
• Analyzing Project Data
Techniques for Analyzing Project Data
Identifying Trends, Patterns, and Anomalies
Using Data for Risk Assessment and Mitigation
• Visualizing and Communicating Data
Principles of Effective Data Visualization
Creating Visualizations to Communicate Project Insights
Reporting and Presenting Data to Stakeholders
• Utilizing Data for Project Planning and Control
Forecasting and Trend Analysis
Resource Allocation and Optimization
Monitoring and Controlling Project Performance
• Implementing Data Analytics in Project Management Practice
Strategies for Integrating Data Analytics into Project Management
Change Management and Overcoming Challenges
Best Practices and Lessons Learned
• Conclusion and Future Trends
Recap of Key Learnings
Emerging Trends in Data Analytics and Project Management
Career Development and Opportunities in the Field
• Final Project and Assessment
Real-world Project Analysis Using Data Analytics
Presentation of Findings and Insights
Peer Review and Feedback Session

Taught by

Dr. Amar Massoud

Subjects

Data Science