CertMaster Perform offers a comprehensive learning experience designed to prepare you for your CompTIA certification exam and advance your IT career. DataX is an advanced course for data scientists with five or more years of experience, this course recognizes it’s not necessary to start from the beginning; instead, it’s designed to identify knowledge gaps and provide learning content to get candidates up to speed on expert-level topics.
One of the most innovative features of CertMaster Perform is the initial diagnostic that gauges a learner’s readiness for the DataX exam. The diagnostic identifies a candidate’s strengths and weaknesses as they relate to the different exam domains and objectives. As a learner moves through the assessment, they will be able to pinpoint exactly where they should focus their studying efforts.
Our learning progression model helps you grasp concepts and actively build skills aligned with course objectives. This methodology contextualizes the material, elaborates on areas needing additional instruction, and provides relevance through practice and customized feedback. The course is structured into modules and lessons, with various activities that elevate your learning through hands-on practice and personalized instruction.
The course is broken into modules and lessons, and different activities throughout the course take learning to the next level by providing hands-on skills practice and personalized instruction.
Get fully prepared for your certification exam and a career in data with CompTIA CertMaster Perform!
BUY CERTMASTER PERFORM DATAXExtensive learning content, videos, flashcards, games, and more covering all exam objectives.
Interactive scenario-based questions to prep you for the exam experience.
Hundreds of practice questions and a timed final assessment to help assess your readiness.
Apply mathematical and statistical methods appropriately and understand the importance of data processing and cleaning, statistical modelling, linear algebra, and calculus concepts.
Utilize appropriate analysis and modeling methods and make justified model recommendations.
Apply machine learning models and understand deep learning concepts.
Understand and implement data science operations and processes.
Demonstrate understanding of industry trends and specialized data science applications.
