Course Overview
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.
Course 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.
Who Should Attend?
This course is designed for data science professionals who are seeking to validate and expand their skillsets.
Pre-requisite
Having a minimum of five years of hands-on experience as a data scientist or the equivalent knowledge is strongly recommended.
Course Outline
Module 1: Illustrating the Data Science Lifecycle
Module 2: Analyzing Business Problems
Module 3: Collecting Data
Module 4: Cleaning and Preparing Data
Module 5: Describing Data Features
Module 6: Exploring Data
Module 7: Navigating the Model Selection Process
Module 8: Employing Machine Learning Methods
Module 9: Experimenting with Deep Learning
Module 10:Evaluating and Refining Data Models
Module 11: Communicating for Business Impact
Module 12: Deploying Data Models
Module 13: Discovering Specialized Data Science Applications
A.0: CompTIA DataAI DY0-001 Practice Test