CompTIA DataX - eLearning (exam included)
650,00 EUR
- 40 hours
The CompTIA DataX (DY0-001) is an advanced-level certification designed for experienced professionals looking to demonstrate expertise in data science within a rapidly evolving industry. This certification broadens career opportunities, allowing professionals to specialize in various data-driven roles, such as data scientist, quantitative analyst, machine learning engineer, predictive analyst, or AI engineer.
About the course
Why Choose CompTIA DataX?
- Vendor-Neutral Expertise: Validates advanced data science skills that can be applied across different tools and platforms.
- Standardized Skill Set: Establishes a recognized and consistent level of expertise for certified data professionals.
- Growing Industry Demand: As data continues to expand, organizations increasingly seek skilled data scientists to manage and analyze it.
The CompTIA DataX exam is designed for professionals with over five years of experience in data science, computer science, or related fields. It offers a structured learning framework, reinforcing essential data science concepts and tools to help individuals advance in their careers.
Key Features
Language
Understand how to model data, perform ingestion, replicate data, and shard data using the NoSQL database management system MongoDB
Level
Advanced level
Access
1 year access to the platform with 24/7 access
4 hours of videos course
12 video lessons with performance-based questions
Study time
40 hours study time recommended
1 official exam voucher
Certification of course completion
Learning Outcomes
By taking this course, you will learn how to:
Mathematics and Statistics
Apply mathematical and statistical techniques effectively, including data processing, cleaning, statistical modeling, linear algebra, and calculus.
Modeling, Analysis, and Outcomes
Use suitable analysis and modeling methods, and provide well-supported recommendations for models.
Machine Learning
Implement machine learning models and grasp the fundamentals of deep learning.
Operations and Processes
Understand and execute essential data science operations and workflows.
Specialized Applications
Demonstrate knowledge of industry trends and advanced applications in data science.
Course timeline
Foundations of Data Science
Lesson 1
- Pre-assessment
- Illustrating the Data Science Lifecycle
- Analyzing Business Problems
Data Collection and Preparation
Lesson 2
- Collecting Data
- Cleaning and Preparing Data
Data Exploration and Analysis
Lesson 3
- Describing Data Features
- Exploring Data
Model Selection and Machine Learning
Lesson 4
- Navigating the Model Selection Process
- Employing Machine Learning Methods
- Experimenting with Deep Learning
Model Evaluation and Deployment
Lesson 5
- Evaluating and Refining Data Models
- Deploying Data Models
Communication and Business Impact
Lesson 6
Specialized Topics and Practice
Lesson 7
- Discovering Specialized Data Science Applications
- CompTIA DataX DY0-001 Practice Test
Who Should Enroll in this Program?
Prerequisites
Having a minimum of five years of hands-on experience as a data scientist or the equivalent knowledge is strongly recommended.
Data Scientist
Quantitative Analyst
Machine Learning Engineer/Specialist
Predictive Analyst
Artificial Intelligence (AI) Engineer
Exam details
- Duration of 165 minutes
- Multiple choice and performance-based exam (PBQs: Performance-based questions are exam items designed to test a candidate’s ability to solve problems in real-world settings and are delivered as either simulations or within virtual environments)
- Maximum of 90 questions
- Pass/Fail only (no scaled score)
- Testing provider: Person Vue (Testing Center or Online Testing)
Equity Policy
CompTIA currently does not provide test accommodations due to a disability or medical condition of any students. Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.
Frequently Asked Questions
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