CompTIA DataAI
The CompTIA DataAI exam was developed to meet an industry need, and bridge gaps in training and knowledge for data science professionals. The exam objectives include real-world scenarios where learners apply their knowledge, ensuring they are prepared for various challenges they may face in their careers as data scientists. Based on extensive input from experienced data scientists, DataAI validates successful candidates can properly utilize and analyze vast amounts of data, extract meaning and generate actionable insights.
Description
- 1.0- Illustrating the Data Science Lifecycle
- 2.0- Analyzing Business Problems
- 3.0- Collecting Data
- 4.0- Cleaning and Preparing Data
- 5.0- Describing Data Features
- 6.0- Exploring Data
- 7.0- Navigating the Model Selection Process
- 8.0- Employing Machine Learning Methods
- 9.0- Experimenting with Deep Learning
- 10.0- Evaluating and Refining Data Models
- 11.0- Communicating for Business Impact
- 12.0- Deploying Data Models
- 13.0- Discovering Specialized Data Science Applications
- A.0- CompTIA DataAI DY0-001 Practice Test