Share Description
In this course, you will learn:
- The primary steps in approaching a data science problem.
- The primary phases involved in data science practice, from defining a specific business or research challenge to gathering and analyzing data, constructing a model, and evaluating the feedback after deployment.
- How do data scientists think?
Syllabus:
1. From Problem to Approach
- Business Understanding
- Analytic Approach
2. From Requirements to Collection
- Data Requirements
- Data Collection
3. From Understanding to Preparation
- Data Understanding
- Data Preparation
4. From Modeling to Evaluation
- Modeling
- Evaluation
5. From Deployment to Feedback
- Deployment
- Feedback
