Student Presentation Preparation Checklist
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1. Descriptive Analysis
Industry Background
Research and explain the industry context
Identify key industry trends and challenges
Provide relevant industry statistics
Dataset Information
Describe your dataset (size, timeframe, variables)
Explain data sources and collection methods
Note any limitations of the dataset
Your Role in the Company
Define your position/team in the organization
Explain your responsibilities related to this problem
Clarify your authority to implement solutions
Exploration Dashboard
Create visualizations showing key data patterns
Highlight 3-5 primary insights from your exploration
Ensure all charts have clear labels and titles
2. Diagnostic Analysis
Business Problem Identification
Connect dashboard insights to a specific business problem
Formulate a clear business question that can be answered with analytics
Explain how this question addresses the identified problem
Stakeholder Goal Alignment
Identify key stakeholders
Articulate their main objectives
Demonstrate how your business question aligns with stakeholder goals
Problem Importance
Quantify the business impact of the problem (e.g., costs, lost revenue)
Explain consequences of not addressing the problem
Highlight potential benefits of solving it
3. Predictive Analysis
Analysis Pipeline Visualization
Create a flowchart showing your complete analysis process
Include steps for: data cleaning, data splitting, feature selection, modeling, evaluation
Make sure flow is logical and easy to follow
Technique Justification
Explain why you chose specific data cleaning methods
Justify your feature selection approach
Provide rationale for chosen modeling techniques
Defend your evaluation metrics
Results Evaluation
State your expected outcomes before analysis
Present actual results clearly
Compare expectations vs. reality
Explain any discrepancies
4. Prescriptive Analysis
Model Selection Reasoning
Identify your best-performing model based on accuracy
Assess if this model fits your company's structure and capabilities
Discuss implementation challenges and requirements
Causal Analysis (Optional)
Select an appropriate causal analysis method (ATE, CATE, SHAP, etc.)
Create visual charts showing results of causal analysis
Interpret what these results mean for business decisions
Business Recommendations
Outline a step-by-step implementation plan
Include timeline, resource requirements, and responsible parties
Provide measurable success criteria
Address potential obstacles and mitigation strategies
5. Presentation Guidelines
Timing
Rehearse to ensure presentation is exactly 5 minutes
Allocate appropriate time to each section
Data Visualization
Ensure all charts have clear titles, labels, and legends
Crop unnecessary elements from visualizations
Highlight key data points or trends
Use consistent formatting across all charts
Visual Design
Apply consistent color schemes throughout presentation
Choose appropriate colors for data representation
Use readable fonts and font sizes
Maintain consistent slide layout and style
Engagement Elements
Add appropriate animations to emphasize key points
Incorporate slide transitions that enhance the narrative
Include progress indicators to guide audience
Chart Diversity
Use at least 3-4 different chart types appropriate for your data
Ensure each chart type serves a specific purpose
Avoid using the same chart type repeatedly
Final Check
Practice presentation multiple times
Time your presentation to ensure it's exactly 5 minutes
Prepare for potential questions from audience
Double-check all data and calculations for accuracy
Review slides for typos and formatting issues