CompTIA DataAI
Description
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.
Additional Course Information
Schedule and Pricing
Target Audience
This course is designed for data science professionals who are seeking to validate and expand their skillsets.
Pre-Requisites
Having a minimum of five years of hands-on experience as a data scientist or the equivalent knowledge is strongly recommended.
Objectives
- Understand and implement data science operations and processes.
- Apply mathematical and statistical methods appropriately and understand the importance of data processing and cleaning, statistical modeling, linear algebra and calculus concepts.
- Apply machine learning models and understand deep learning concepts.
- Utilize appropriate analysis and modeling methods and make justified model recommendations.
- Demonstrate understanding of industry trends and specialized data science applications.
Course Delivery Modality
VILT
Duration in Hours
40
Credits Eligible
1
Course Vendor
Course Outline
- 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