Azure Data Scientist Associate (DP-100)

Build data science skills with Azure Data Scientist Associate. Learn data modelling, experimentation, and machine learning workflows. Gain hands on experience and exam readiness.

about this course

Azure Data Scientist Associate (DP-100) validates skills to build and operationalise machine learning solutions on Azure. It covers data preparation, training and evaluating models, and deploying and managing ML workflows using Azure tooling. It is ideal for data scientists delivering end to end ML solutions on Azure.

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Azure Data Scientist Associate (DP-100) Course Overview and Modules

Want to build machine learning solutions on Azure without getting stuck at theory only? If the ML lifecycle feels unclear, this course guides you from data to deployment. A practical data science course can help you:

Prepare data and train models using a structured Azure ML workflow
Evaluate models and improve results with repeatable techniques
Deploy models and manage them with monitoring and retraining basics
Apply responsible AI and governance considerations in ML work
Prepare for the DP-100 exam with hands on and exam aligned practice

Prerequisites

Comfort with basic data concepts and Python is helpful, and some machine learning awareness supports faster learning. It is designed for learners building and operationalising ML solutions using Azure Machine Learning.

Certification Alignment

Aligned with the latest Microsoft Azure Data Scientist exam objectives (DP-100), covering data preparation, model training, deployment, and ML operations in Azure.

Practical Application

Includes model training and evaluation scenarios, data preparation demonstrations, deployment walkthroughs, and monitoring and retraining examples using Azure ML workflows.

Skills You Will Gain

Train and evaluate ML models, deploy solutions responsibly, manage ML workflows in Azure, and build end to end capability to deliver and maintain machine learning solutions in real projects.

What you will learn in Azure Data Scientist Associate (DP-100) Certification

A carefully structured overview of the core concepts, technical domains, and practical competencies you will master to build confidence and certification readiness.

Prepare Data for Machine Learning Projects

Clean, transform, and organise data so it is ready for training and evaluation in ML workflows.

Train and Evaluate Models in Azure ML

Build models and assess performance using appropriate metrics and experimentation practices.

Manage Experiments and Reproducible Workflows

Use structured experimentation so results can be tracked, repeated, and improved over time.

Deploy Models and Create Inference Endpoints

Deploy trained models to endpoints and integrate them into real applications reliably.

Monitor Models and Improve Over Time

Track model performance and plan updates to reduce drift and maintain accuracy.

Apply Responsible and Secure ML Practices

Consider fairness, privacy, and security when building and deploying ML solutions.

Azure Data Scientist Associate (DP-100) Course Statistics

Everything you need to know about this certification, including exam details, delivery modes, duration, and pricing.

Certification

Azure Data Scientist Associate (DP-100)

Exam Code

DP-100

Starting from

£1,695

Not sure which format works best for you? Contact us for free advice and we’ll help design a tailored training plan to match your goals. Whether you need flexible course duration, online or on-site delivery, or a customised schedule, our advisors will guide you every step of the way.

Who This Course Is For

Azure Data Scientist Associate (DP-100) is designed for data scientists and ML practitioners who build machine learning solutions using Azure Machine Learning and want structured skills for training, deployment, and model operations. It is ideal for learners with existing ML knowledge who want to operationalise models on Azure and support real end to end machine learning workflows responsibly and securely. It is ideal if you train and deploy models and want a structured approach to Azure Machine Learning workflows and MLOps tasks.

Certification & Exam Information

Certification

Microsoft Certified: Azure Data Scientist Associate

Exam

Exam code: DP-100
Level: Advanced
Delivery: Proctored exam (online or at an authorised test centre, depending on availability)
Schedule with: Pearson VUE (standard)
Scoring: Scaled score on a 1 to 1,000 scale; passing score is typically 700 or greater
Validity: Renewable (follow Microsoft renewal policy)

Skills Measured

Prepare data for machine learning
Train and evaluate models
Deploy and manage ML solutions

Official Preparation Resources

Microsoft Learn official study resources and practice assessment
Exam skills outline and sample questions (where available)

Azure Data Scientist Associate (DP-100) Careers & Salaries in the UK

Data Scientist (£55,000 avg)

Machine Learning Engineer (£74,000 avg)

Applied Scientist (£65,000 avg)

ML Consultant (£70,000 avg)

Book a Free Consultation With a Course Advisor

Frequently Asked Questions – Azure Data Scientist Associate (DP-100)

We understand that choosing the right course is important. Below are answers to common questions about training, certification, exams, and career outcomes.

What is Azure Data Scientist Associate (DP-100) and what does it cover?

Azure Data Scientist Associate (DP-100) covers practical skills across areas such as model training, experiment tracking, ML pipelines. It helps you understand how Microsoft solutions are applied in real organisations and mapped to job roles.

Who should take Azure Data Scientist Associate (DP-100) in the UK?

It is ideal for data analysts and data engineers building analytics, reporting, and data platforms in the UK. It is also useful for professionals who need a recognised credential for career progression or a role change into the Microsoft ecosystem.

Are there prerequisites for Azure Data Scientist Associate (DP-100)?

Most Microsoft exams do not have formal prerequisites, but they assume role-relevant knowledge. For associate and expert levels, hands-on experience with the services improves speed and confidence in scenario questions.

What skills are measured in Azure Data Scientist Associate (DP-100)?

It measures your ability to work with model training, experiment tracking, ML pipelines, deployment and monitoring, responsible ML. The official Microsoft Learn skills outline shows the latest domains and what is emphasised in the current exam.

Do I need an Azure or Microsoft 365 subscription to prepare?

You can learn the concepts without a subscription, but hands-on practice makes the material stick. Using guided labs helps you understand configuration, governance, and troubleshooting in realistic scenarios.

Can I take Azure Data Scientist Associate (DP-100) online or at a test centre in the UK?

Yes. Microsoft exams are delivered through Pearson VUE, either online with remote proctoring or at a test centre, and you schedule through your Microsoft Learn certification profile. Online testing requires a compatible system and a private space, while test centres are a good option if you prefer an in-person setup.

What is the passing score for Azure Data Scientist Associate (DP-100)?

Microsoft exams use a scaled score. Many exams are reported on a 1 to 1,000 scale and you typically need 700 or above to pass, with results shown after completion.

How much does Azure Data Scientist Associate (DP-100) cost in the UK?

Microsoft sets exam pricing by region, and the current UK price is shown when you schedule. Course fees, labs, and practice tests are separate and depend on your training format.

What happens if I fail Azure Data Scientist Associate (DP-100), can I retake it?

Yes. Microsoft retake rules usually include a short wait after the first failed attempt and longer waits between additional retakes, with attempt limits per year. Always check the current policy before you rebook.

What should I do after Azure Data Scientist Associate (DP-100)?

Common next steps include Microsoft Azure AI Engineer Associate or advanced ML engineering work. If you are unsure, choose the route that matches your target job such as admin, developer, security, data, or AI.

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