Student Presentation Preparation Checklist

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