Certified Data Science Practitioner (CDSP)

For a business to thrive in our data-driven world, it must treat data as one of its most important assets. Data is crucial for understanding where the business is and where it’s headed. Not only can data reveal insights, it can also inform—by guiding decisions and influencing day-to-day operations. This calls for a robust workforce of professionals who can analyze, understand, manipulate, and present data within an effective and repeatable process framework. In other words, the business world needs data science practitioners. This course will enable you to bring value to the business by putting data science concepts into practice. This course includes hands on activities for each topic area.

Course Details

Price:

$3,495.00

Days:

Location:

Virtual

Course Overview

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. Finalize a data science project by presenting models to an audience, putting models into production, and monitoring model performance.

To ensure your success in this course, you should have at least a high-level understanding of fundamental data science concepts, including, but not limited to: types of data, data science roles, the overall data science lifecycle, and the benefits and challenges of data science. You can obtain this level of knowledge by taking the CertNexus DSBIZ™ (Exam DSZ-110) course.

1 – Assessment of Information Security Risks

Topic A: The Importance of Risk Management
Topic D: Integrating Documentation into Risk Management

2 – Response to Cybersecurity Incidents

Topic A: Deployment of Incident Handling and Response Architecture
Topic B: Containment and Mitigation of Incidents
Topic C: Preparation for Forensic Investigation as a CSIRT

3 – Investigating Cybersecurity Incidents

Topic A: Use a Forensic Investigation Plan
Topic B: Securely Collect and Analyze Electronic Evidence
Topic C: Follow Up on the Results of an Investigation

4 – Complying with Legislation

Examples of Legislation (if this is covered in above topics, no need to include here) GDPR,
HIPPA, Elections
– Case study: Incident Response and GDPR (Using GDPR legislation, create a response that is
compliant with it – this could be discussion-based activity as well.)
– State Legislation Resources and Example – Search terms to find state legislation
– Using NYS as example use the NYS Privacy Response act or other legislation to create
a similar case study as previous.
– Provide answers on when to use federal versus state and do you have to follow both?

Class Dates & Times


03/02/2026 - 03/06/2026 Virtual 09:00:00 to 17:00:00 EST Enroll Now $3,495.00
07/13/2026 - 07/17/2026 Virtual 09:00:00 to 17:00:00 EST Enroll Now $3,495.00
11/03/2025 - 11/07/2025 Virtual 09:00:00 to 17:00:00 EST Enroll Now $3,495.00

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