Certified Data Science Practitioner (CDSP)
The exam will certify that the successful candidate has the knowledge, skills, and abilities required to answer questions by collecting, wrangling, and exploring data sets, applying statistical models and artificial-intelligence algorithms, to extract and communicate knowledge and insights.
Domain 1.0 Defining the Need to be Addressed Through the Application of Data Science:
- Identify the Project Scope
- Understand Challenges
- Classify a Question Into a Known Data Science Problem
Domain 2.0 Extracting, Transforming, and Loading Data:
- Gather data sets
- Clean data sets
- Merge and load data sets
- Apply problem-specific transformations to data sets
Domain 3.0 Performing Exploratory Data Analysis:
- Examine data
- Preprocess data
- Carry out feature engineering
Domain 4.0 Building Models:
- Prepare data sets for modeling
- Train models
- Evaluate models
Domain 5.0 Testing Models:
- Test hypotheses
Domain 6.0 Operationalizing the Pipeline:
- Deploy pipelines
Domain 7.0 Communication Findings:
- Report findings
- Democratize data
The Certified Data Science Practitioner exam is designed for professionals across different industries seeking to demonstrate the ability to gain insights and build predictive models from data.
- Attend Certified Data Science Practitioner (CDSP) Course
- Pass the following exams:
- Exam DSP-110
Candidates who successfully pass the Certified Data Science Practitioner exam will have 3 years from the date of certification to recertify. Candidates will have 2 options from which to choose:
- Retake the most recent version of the exam before their certification expires
- Earn and submit enough continuing education credits (CECs) to recertify without retaking the exam