Certified Microsoft Azure Data Scientist Analyst badge achieved after attending the DP-100 Course and Exam
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Microsoft Certified Azure Data Scientist (DP-100)

Unlock data-driven insights as a Microsoft Azure Data Scientist and learn how to build and deploy machine learning models for impactful business solutions.

course: Microsoft Certified Azure Data Scientist (DP-100)

Duration: 4 days

Format: Virtual or Classroom

prepare-exam Prepares for Exam : Designing and Implementing a Data Science Solution on Azure (DP-100)

certification-icon Prepares for Certification : Microsoft Certified: Azure Data Scientist Associate

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Overview

Join our Microsoft Certified Azure Data Scientist (DP-100) course to embark on a journey of comprehensive training and skill development. This certification course equips you with the knowledge and expertise needed to excel in the field of data science using Azure technologies. Get certified and elevate your career with hands-on training, practical exercises, and expert guidance. Enroll now to master essential data science concepts and excel in this dynamic and rapidly evolving field.

This course includes
  • intructor-iconInstructor-led training
  • intructor-iconPractice test
  • intructor-iconPre-reading
  • intructor-iconPersonal Learning Path
  • intructor-iconCertification Guarantee
  • intructor-iconEmail, chat and phone support

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Who is this course for?

Who is the Microsoft Certified Azure Data Scientist (DP-100) training course for?

The Microsoft Certified Azure Data Scientist (DP-100) certification is intended for those who wish to demonstrate their proficiency in creating and deploying machine learning models on Azure. This certification is ideal for data scientists, data engineers, and other technical professionals interested in using Azure services to develop, train, and deploy machine learning models. The DP-100 certification exam covers topics such as the machine learning process and data science, data preparation for machine learning, machine learning model development, training, and optimization, as well as machine learning model deployment on Azure.

Curriculum

What you will learn during our Azure Data Scientist course.

  • Getting Started with Azure Machine Learning
  • Azure Machine Learning Tools
  • Lab : Creating an Azure Machine Learning Workspace
  • Working with Azure Machine Learning Tools
  • Training Models with Designer
  • Publishing Models with Designer
  • Lab : Creating a Training Pipeline with the Azure ML Designer
  • Lab : Deploying a Service with the Azure ML Designer
  • Introduction to Experiments
  • Training and Registering Models
  • Lab : Running Experiments
  • Lab : Training and Registering Models
  • Working with Datastores
  • Working with Datasets
  • Lab : Working with Datastores
  • Lab : Working with Datasets
  • Working with Environments
  • Working with Compute Targets
  • Lab : Working with Environments
  • Lab : Working with Compute Targets
  • Introduction to Pipelines
  • Publishing and Running Pipelines
  • Lab : Creating a Pipeline
  • Lab : Publishing a Pipeline
  • Realtime Inferencing
  • Batch Inferencing
  • Lab : Creating a Realtime Inferencing Service
  • Lab : Creating a Batch Inferencing Service
  • Hyperparameter Tuning
  • Automated Machine Learning
  • Lab : Tuning Hyperparameters
  • Lab : Using Automated Machine Learning
  • Introduction to Model Interpretation
  • using Model Explainers
  • Lab : Reviewing Automated Machine Learning Explanations
  • Lab : Interpreting Models
  • Monitoring Models with Application Insights
  • Monitoring Data Drift
  • Lab : Monitoring a Model with Application Insights
  • Lab : Monitoring Data Drift

Preparation

How to best be prepared for our Azure Data Scientist course.

  • [Dictionary item: Orange-check] A fundamental knowledge of Microsoft Azure
  • [Dictionary item: Orange-check] Experience of writing Python code to work with data, using libraries such as Numpy, Pandas, and Matplotlib.
  • [Dictionary item: Orange-check] Understanding of data science; including how to prepare data, and train machine learning models using common machine learning libraries such as Scikit-Learn, PyTorch, or Tensorflow.

Meet our instructors

Meet some of the Readynez Instructors you can meet on your course. They are experts, passionate about what they do, and dedicated to give back to their industry, their field, and those who want to learn, explore, and advance in their careers.

Tiago Costa

Tiago Costa is Microsoft MVP and a Cloud Architect and Advisor and International speaker on the Microsoft Cloud.

Tiago Costa is a Cloud Architect and Advisor on Microsoft Azure. For the past years he has been architecting and developing solutions using Microsoft Azure for some of the fortune 500 companies.

Due to his strong real-world experience, Tiago regularly teaches Microsoft Azure classes around the world. Microsoft Azure MVP since 2016 for his community efforts in promoting and sharing knowledge with the community.

Tiago has 40+ Microsoft Certifications including MCT – Microsoft Certified Trainer - and got awarded as MCT Regional Lead every year since 2016. He’s the founder of the Azure Portugal User Group. He loves diving into new technologies and to share his experience at conferences and training classes, but what excites him about his work is to help others exploring new frontiers in technology impacting their life’s, making the world a better place for everyone. His free time is spent with his family in the sunny Lisbon, Portugal building cool and geek projects

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Ed Baker

Ed Baker

Ed is a Microsoft MVP for many years and has authored several Microsoft Official Curriculum Courses for Azure, Windows Server and Windows.

He is a 25 year IT veteran with experience in the UK Police and armed forces. Ed is a former Microsoft Technical Evangelist and is an MCT Regional Lead for the UK and he currently holds the most prestigious Microsoft MVP accreditation. Ed also helps run the UK MS Cloud User Group and the annual Evolve Conference in the UK.

Ed has authored several Microsoft Official Curriculum Courses for Azure, Windows Server and Windows as well as writing courses for Opsgility and other online providers.
Ed is a regular conference speaker at events such as TechEd, Ignite, TechSummit, SpiceWorld and more.

Ed now spends his time mixed between teaching Microsoft Azure, Windows Server and Enterprise Mobility topics. In addition Ed provides consultancy services to Small and Medium Enterprises as well as direct to Microsoft UK and Microsoft Corp.

 

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FAQ

FAQs for the Azure Data Scientist (DP-100) course.

DP-100 Azure Data Scientist certification validates expertise in designing and implementing machine learning models and solutions using Azure Machine Learning. It covers various aspects of data science, including data preparation, feature engineering, model training and evaluation, and deployment, preparing professionals for roles in data science and machine learning engineering.

Our DP-100 Azure Data Scientist course prepares you to excel in data science roles on Azure. Prepare for the exam and gain certification as an Azure Data Scientist with our expert-led training program. Learn to build and deploy machine learning models, and extract valuable insights from data. Join us and become a skilled data scientist in the cloud.

While there are no strict prerequisites for DP-100 Azure Data Scientist certification, candidates should have a strong understanding of data science concepts, experience working with machine learning algorithms and frameworks, and proficiency in programming languages such as Python. Familiarity with Azure services and cloud computing is beneficial for exam preparation.

The cost of the DP-100 exam is around €142.

The DP-100 exam covers topics such as data preparation, feature engineering, model training and evaluation, and model deployment using Azure Machine Learning. It assesses candidates' abilities to design and implement machine learning solutions effectively using Azure services.

Yes, DP-100 Azure Data Scientist certification is highly valuable for professionals pursuing careers in data science, machine learning, and artificial intelligence using Azure technologies. It demonstrates expertise in designing and implementing machine learning models and solutions, enhancing career opportunities and earning potential in the field.

The time it takes to become DP-100 Azure Data Scientist certified varies depending on individual experience, study habits, and preparation methods. Candidates typically spend several weeks to a few months preparing for the exam through self-study, training courses, and hands-on practice to build the necessary knowledge and skills.

Yes, Microsoft offers online proctored options for the DP-100 exam, allowing candidates to take the exam remotely from their home or office. Ensure your computer meets the technical requirements for online proctoring and follow the exam registration process outlined by Microsoft for online exam delivery.

The difficulty of passing the DP-100 exam depends on individual knowledge, experience, and preparation. Candidates with a solid understanding of data science principles, hands-on experience with Azure Machine Learning, and thorough exam preparation are more likely to succeed in passing the exam.

The passing score for the DP-100 exam is typically around 700 out of 1000.

To maintain DP-100 Azure Data Scientist certification, certified professionals must renew their certification periodically by passing a renewal exam or completing relevant continuing education activities. Stay updated with the latest developments in data science and machine learning, participate in advanced training courses, and engage in ongoing learning to maintain your certification status.

Salary potential for DP-100 Azure Data Scientist certified professionals varies based on factors such as location, experience, industry, and job role. Data scientists and machine learning engineers with expertise in Azure Machine Learning and data science techniques typically command competitive salaries, with earning potential increasing with additional experience and specialization in the field.

Reviews

Feedback from our Azure Data Scientist delegates.

Stephen Ridgway

Readynez is the best training provider I've used for many years. Their customer service is first class, prices are very competitive and instruction excellent.

Johan Andersson

Johan Andersson

Easy to attend over Teams and an excellent instructor gave me great value for the time I invested.

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