CompTIA DataAI Certification (DY0-001)

What’s included?

• Authorized Courseware
• Intensive Hands on Skills Development with an Experienced Subject Matter Expert
• Hands-on practice on real Servers and extended lab support 1.800.482.3172
• Examination Vouchers & Onsite Certification Testing- (excluding Adobe and PMP Boot Camps)
• Academy Code of Honor: Test Pass Guarantee
• Optional: Package for Hotel Accommodations, Lunch and Transportation

Curriculum

Module 1: Mathematics and Statistics (17%)

• Apply statistical methods and hypothesis testing

• Analyze probability distributions and synthetic modeling concepts

• Use linear algebra and basic calculus in data science scenarios

• Analyze temporal models, including time series and causal inference

• Perform exploratory data analysis (EDA) and identify common data issues

Module 2: Modeling, Analysis, and Outcomes (24%)

• Apply data enrichment, feature engineering, and data transformation techniques

• Design, iterate, and evaluate data science models

• Analyze experimental results to justify model recommendations

• Translate analytical results into reports and visualizations for stakeholders

Module 3: Machine Learning (24%)

• Apply foundational machine learning concepts and best practices

• Build and evaluate supervised machine learning models

• Implement tree-based and ensemble learning techniques

• Understand deep learning architectures and frameworks

• Apply unsupervised machine learning techniques

Module 4: Operations and Processes (22%)

• Understand data ingestion, storage, and pipeline architectures

• Implement best practices across the data science life cycle

• Apply data wrangling and data preparation techniques

• Understand DevOps and MLOps principles in data science

• Compare deployment environments and optimization approaches

Module 5: Specialized Applications of Data Science (13%)

• Apply natural language processing (NLP) concepts

• Understand computer vision techniques and applications

• Explore specialized data science applications such as anomaly detection, fraud detection, and optimization