CompTIA DataAI Training
Offered to the Jacksonville and Northeast Florida community through UNF Professional and Lifelong Learning in partnership with Applied Technology Academy — live online or in person, taught by ATA's practitioner instructors.
Course Overview
DataAI provides a framework for knowledge acquisition and solidifies a comprehensive understanding of critical data tools and concepts, empowering individuals to advance their careers. The course covers a wide range of topics, including mathematics and statistics, machine learning, operations and processes, and specialized applications of data science. It ensures you have a holistic understanding of the field and are well-equipped to handle diverse data science tasks and challenges.
DataAI is more than just a certification, it is a testament to your commitment to excellence in the field of data science. It validates your technical skills and demonstrates your expertise in handling complex data sets, implementing data-driven solutions and driving business growth through insightful data interpretation.
CompTIA DataAI solidifies your comprehensive understanding of critical data tools and concepts. The certification exam will certify that the successful candidate has the knowledge and skills required to:
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 Outline
- Lesson 1: Mathematics and Statistics
- Lesson 2: Modeling, Analysis, and Outcomes
- Lesson 3: Machine Learning
- Lesson 4: Operations and Processes
- Lesson 5: Specialized Applications of Data Science
Intended Audience
- Data Analyst
- Business Intelligence Analyst
- Reporting Analyst
- Marketing Analyst
- Clinical Analyst
- Business Data Analyst
- Operations Analyst
Prerequisites
5+ years of experience in data science or a similar role is recommended.
