I have a Background in Statistics and Actuarial Science
I love teaching the following subjects and also their intersection
in data science:
Ordinary Differential Equations
Probability and Statistics
Bayesian Statistics
Statistical modeling
I have been constantly teaching myself the following stages in Data
Science:
Business Understanding
Define what you want to accomplish and define the reasons for
wanting to achieve this goal.
Deliverable
- Background/Business Problem
- Business Goals and KPI
- Data Mining Goals and KPI
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Data Understanding
Gather, describe and explore the data to make sure it fits
the business goal
Deliverable
- Data Description
- Data Exploration Report
- Data Quality Report
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Data Preparation
Preparing data for further analysis
Deliverable
- Data Preparation Steps
- Final Data for Modeling
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Modeling
Finding pattern and do prediction
Deliverable
- Modeling Technique and Assumption
- Model Description
- Model Evaluation
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Evaluation
Does the model solve the business problem?
Deliverable
- Model business assessment
- Review of the overall process
- Possible action and final decision
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Deployment
Release the model into production
Deliverable
- Deployment plan
- Monitoring and Maintenance
- Final Report
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