sample

1. Data Science Methodology
An Analytic Approach to Capstone
Project

2. What is Data Science
Methodology?
• A structured, iterative process used by data
scientists to solve problems.
• It consists of multiple stages from
understanding the problem to deploying a
solution.

3. Key Modules
• 1. From Problem to Approach – Define
problem, use 5W1H & Design Thinking.
• 2. From Requirements to Collection – Identify
& gather structured/unstructured data.
• 3. From Understanding to Preparation –
Analyze, clean & transform data.
• 4. From Modeling to Evaluation – Develop &
assess models.
• 5. From Deployment to Feedback –
Implement, refine & optimize.

4. Analytic Techniques
• - Descriptive Analytics: Identify trends &
patterns.
• - Diagnostic Analytics: Determine causes of
events.
• - Predictive Analytics: Forecast future
outcomes.
• - Prescriptive Analytics: Recommend best
actions.

5. Data Processing Steps
• - Collection: Primary (surveys, experiments) &
Secondary (books, web data).
• - Understanding: Assess quality using statistics
& visualization.
• - Preparation: Cleaning, integration & feature
engineering.
• - Modeling & Evaluation: Test models using
accuracy, precision, recall.
• - Deployment & Feedback: Implement &
refine based on results.