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Mammoth Club All levels 35 sections 199 lectures

Crack the CompTIA DataAI Certification Exam Survival Guide ft 10 Practice Exams

This intensive DataAI (formerly named DataX) exam survival guide is built to help you master the core concepts, technical competencies, and analytical thinking skills required to pass the DataAI exam with confidence.

01
Skill level
All levels
02
Sections
35
03
Lectures
199
04
Instructor
Team Mammoth
What's inside

This course includes.

35
Sections
199
Lectures
181
Quizzes
Certificate of completion
Included
Mobile and desktop access
Included
AI learning assistance
Included
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Course content

Curriculum & lectures.

7 sections · 31 lectures
+ Welcome 2 lectures
What You'll Learn Locked
What You'll Need Locked
+ 1.0 Mathematics and Statistics 4 lectures
Probability and synthetic modeling concepts and their uses Locked
Given a scenario, apply the appropriate statistical method or concept Locked
Importance of linear algebra and basic calculus concepts Locked
Compare and contrast various types of temporal models Locked
+ 2.0 Modeling, Analysis, and Outcomes 6 lectures
Use the appropriate exploratory data analysis (EDA) method or process Locked
Analyze common issues with data Locked
Apply data enrichment and augmentation techniques Locked
Conduct a model design iteration process Locked
Analyze results of experiments and testing to justify final model recommendations Locked
Translate results and communicate via appropriate methods and mediums Locked
+ 3.0 Machine Learning 7 lectures
Apply foundational machine learning concepts Locked
Apply appropriate statistical supervised machine learning concepts Locked
Apply tree-based supervised machine learning concepts Locked
Artificial neural network architecture Locked
Explain concepts related to deep learning Locked
Model types in deep learning Locked
Explain concepts related to unsupervised machine learning Locked
+ 4.0 Operations and Processes 7 lectures
Explain the role of data science in various business functions Locked
Explain the process of and purpose for obtaining different types of data Locked
Explain data ingestion and storage concepts Locked
Implement common data-wrangling techniques Locked
Implement best practices throughout the data science life cycle Locked
Importance of DevOps and MLOps principles in data science Locked
Compare and contrast various deployment environments Locked
+ 5.0 Specialized Applications of Data Science 4 lectures
Compare and contrast optimization concepts Locked
Use and importance of natural language processing (NLP) concepts Locked
Use and importance of computer vision concepts Locked
Purpose of other specialized applications in data science Locked
+ Challenge your 10 FREE Mock Exams 1 lecture
Where to go from here Locked
Description

About this course.

Designed for aspiring data professionals and IT practitioners expanding into data-driven roles, this course provides structured, exam-focused coverage of all DataX objectives. You’ll gain a practical understanding of data management principles, analytics workflows, governance considerations, and emerging data technologies, all aligned with the certification blueprint.

Ready to start building?

This intensive DataAI (formerly named DataX) exam survival guide is built to help you master the core concepts, technical competencies, and analytical thinking skills required to pass the DataAI exam with confidence.

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