CompTIA Data X

Course Overview

Professionals in the data field looking to upskill and close existing knowledge gaps will benefit from CompTIA DataX. This new certification falls under CompTIA Xpert — a new series of certifications and trainings offered through CompTIA that are geared towards professionals who are looking to gain expert knowledge in business-critical technologies.

DataX equips highly experienced professionals with essential skills that meet the demands of the rapidly evolving field of data science. Learners will have access to a comprehensive curriculum that covers concepts ranging from the foundations of machine learning to more specialized data science applications.

While covering these emerging concepts, learners won’t spend time revisiting familiar concepts that they’ve already encountered in their careers. Instead, DataX helps learners focus their efforts on filling existing knowledge gaps due to a lack of available training.

Skills Covered

CompTIA DataX ensures learners have skills around:

• Mathematics and Statistics: Apply mathematical and statistical methods appropriately and understand the importance of data processing and cleaning, statistical modelling, linear algebra, and calculus concepts.
• Modeling, Analysis and Outcomes: Utilize appropriate analysis and modeling methods and make justified model recommendations. Machine Learning: Apply machine learning models and understand deep learning concepts.
• Operations and Processes: Understand and implement data science operations and processes.
• Specialized Applications of Data Science: Demonstrate understanding of industry trends and specialized data science applications.

Target Audience

This course is designed for data science professionals who are seeking to validate and expand their skillsets. Primary job roles:

• Data Scientists
• Quantitative Analyst
• Machine Learning Engineer/Specialist
• Predictive Analyst
• Artificial Intelligence (AI) Engineer

Prerequisites

Having a minimum of five years of hands-on experience as a data scientist or the equivalent knowledge is strongly recommended.