CDSP is designed for practitioners who are seeking to collect, wrangle, and explore datasets, plus apply statistical models and artificial intelligence algorithms to extract and communicate insights.
Learning Objectives
In this course, you will implement data science techniques in order to address business issues. You will: Use data science principles to address business issues, apply the extract, transform, and load (ETL) process to prepare datasets, use multiple techniques to analyze data and extract valuable insights, design a machine learning approach to address business issues, train, tune, and evaluate classification models, train, tune, and evaluate regression and forecasting models, train, tune, and evaluate clustering models, and finalize a data science project by presenting models to an audience, putting models into production, and monitoring model performance.
Framework Connections
The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):
Specialty Areas
- Cybersecurity Management
- Program/Project Management and Acquisition
- Risk Management
- Strategic Planning and Policy
Feedback
If you would like to provide feedback for this course, please e-mail the NICCS SO at NICCS@hq.dhs.gov.