After the course you cover the full breadth of data science with confidence: you choose suitable statistical methods, prepare data, train and compare models from decision trees to neural networks, and plan how models are monitored in production. You can also place NLP, computer vision and optimisation methods. The course prepares you for the CompTIA DataAI (DY0-001) exam, formerly known as DataX. It suits data scientists and ML engineers with several years of practice who want to close gaps and prove their skills.
What you’ll take away.
- Choose and interpret statistical tests and evaluation measures such as ROC/AUC, AIC/BIC and confusion matrices
- Run exploratory analyses, engineer features and handle data issues such as outliers and seasonality
- Train, tune and compare supervised, unsupervised and deep learning models
- Plan data pipelines, versioning and MLOps for running models in production
- Present results to business teams clearly and without misleading charts
Your training in detail
- Who is it for?
- Data scientists, ML engineers and experienced data analysts who want to consolidate and prove their knowledge across the whole field.
- Prerequisites
- CompTIA recommends more than five years in data science or a similar role. You should be confident with Python or R and know the basics of statistics and linear algebra.
- Format & planning
- Standard length: 5 training days. A different length can be arranged for companies.
Agenda: from understanding to application
Our independently developed agenda proposal. Focus areas, lab environment and scope are agreed before booking.
The DY0-001 exam: five domains and task types
Mathematics and statistics: tests, distributions, linear algebra and time series
Modelling and analysis: EDA, feature engineering, model selection and validation
Machine learning: regularisation, ensembles, tree methods, neural networks and clustering
Operations and processes: ingestion, data wrangling, life cycle, CI/CD and MLOps
Specialised areas: optimisation, NLP, computer vision, graph analysis and anomaly detection
Using a customer churn dataset, you build a model from exploratory analysis to evaluation, check it for data leakage and prepare the results for a decision meeting.
Exams, licences & credentials
The course prepares you for the CompTIA DataAI (DY0-001) exam. Exam vouchers and fees are included only if the offer explicitly confirms it. Any certificate is issued by CompTIA after you pass the exam. Unless the offer states otherwise, this is not an official CompTIA course.
Vendor references & review date
Sources checked on 2026-11-10. These sources describe the technology or external exam requirements. They do not imply a partnership with NextNowa.
Your learning content
These objectives describe the training topic. The specific syllabus, dates and trainer are agreed before booking; the written offer is binding.
Frequently asked questions
Is DataAI the same as DataX?
Yes. CompTIA now runs the certification under the name DataAI, and the exam code DY0-001 has stayed the same.
How does DataAI differ from Data+?
Data+ focuses on data analysis and reporting. DataAI is aimed at experienced data scientists and goes much deeper into statistics, machine learning and running models.
What is the exam format?
According to CompTIA the exam has up to 90 questions, mixing multiple choice and performance-based tasks, with 165 minutes of testing time.
Does CompTIA DataAI (DY0-001): data science and machine learning for experienced practitioners include a certificate?
The course prepares you for the CompTIA DataAI (DY0-001) exam. Exam vouchers and fees are included only if the offer explicitly confirms it. Any certificate is issued by CompTIA after you pass the exam. Unless the offer states otherwise, this is not an official CompTIA course.