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.
Organizations are rapidly enabling their workforces with AI assistants. However many are finding that simply giving employees access to these tools does not mean that employees have the ability to use these tools to their fullest potential. This “AI Fluency Gap” is preventing organizations from achieving the desired return on their AI investments.
CompTIA DataAI (DY0-001) can broaden your knowledge for a diverse range of career paths, creating opportunities for advancement and specialization in the rapidly evolving data science industry. With CompTIA DataAI, possible career paths include data scientist, quantitative analyst, machine learning engineer/specialist, predictive analyst, and artificial intelligence (AI) engineer.
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
Successful DataAI candidates gain the skills and knowledge required to:
This course is designed for data science professionals who are seeking to validate and expand their skillsets.
Primary job roles
- Data Scientist
