Prepare for DP-100: Data Science on Microsoft Azure Exam
Microsoft certifications give you a professional advantage by providing globally recognized and industry-endorsed evidence of mastering skills in digital and cloud businesses. In this course, you will prepare to take the DP-100 Azure Data Scientist Associate certification exam. You will refresh your knowledge of how to plan and create a suitable working environment for data science workloads on Azure, run data experiments, and train predictive models.
Monthly Subscription Starting at AED 99 + VAT
- Level Professional
- Duration 9 hours
- Course by Microsoft
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Offered by
About
Microsoft certifications give you a professional advantage by providing globally recognized and industry-endorsed evidence of mastering skills in digital and cloud businesses. In this course, you will prepare to take the DP-100 Azure Data Scientist Associate certification exam. You will refresh your knowledge of how to plan and create a suitable working environment for data science workloads on Azure, run data experiments, and train predictive models. In addition, you will recap on how to manage, optimize, and deploy machine learning models into production. You will test your knowledge in a practice exam mapped to all the main topics covered in the DP-100 exam, ensuring you’re well prepared for certification success. You will also get a more detailed overview of the Microsoft certification program and where you can go next in your career. You’ll also get tips and tricks, testing strategies, useful resources, and information on how to sign up for the DP-100 proctored exam. By the end of this course, you will be ready to sign-up for and take the DP-100 exam. This is the fifth course in a five-course program that prepares you to take the DP-100: Designing and Implementing a Data Science Solution on Azure certification exam. The certification exam is an opportunity to prove knowledge and expertise operate machine learning solutions at a cloud-scale using Azure Machine Learning. This specialization teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure. Each course teaches you the concepts and skills that are measured by the exam. This Specialization is intended for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. It teaches data scientists how to create end-to-end solutions in Microsoft Azure. Students will learn how to manage Azure resources for machine learning; run experiments and train models; deploy and operationalize machine learning solutions, and implement responsible machine learning. They will also learn to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning.Modules
Welcome to the course
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3
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Discussion
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Discussions
- Preparing for the DP-100 exam
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- Introduction to the course
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Readings
- Course syllabus
- How to be successful in this course
- Sign-up for the Proctored Exam
Microsoft certification program
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- Lesson Introduction
- Jobs and careers
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- Microsoft certification paths
- The Microsoft role-based certification
- Additional resources
Preparing for the exam
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Discussion
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Discussions
- Have you found any good exam prep materials?
3
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- Lesson Introduction
- Exam strategy
- Tips and tricks
4
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- How to prepare for the Proctored Examination
- Topics covered in the exam
- How the exam is administered
- Additional resources
Recap on key topics
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Assignment
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Assignment
- Practice exam covering Course 1: Create machine learning models
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- Lesson introduction
- Recap of topics and key concepts covered in Create machine learning models
Recap on key topics
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Assignment
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Assignment
- Practice exam covering Course 2: Create no-code predictive models with Azure Machine Learning
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Videos
- Lesson introduction
- Recap of topics and key concepts covered in Create no-code predictive models with Azure Machine Learning
Recap on key topics
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2
Videos
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Assignment
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Assignment
- Practice exam covering Course 3: Build and operate machine learning solutions with Azure Machine Learning
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Videos
- Lesson introduction
- Recap of topics and key concepts covered in Build and operate machine learning solutions with Azure Machine Learning
Recap on key topics
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Assignment
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Assignment
- Practice exam covering Course 4: Perform data science with Azure Databricks
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- Lesson introduction
- Recap of topics and key concepts covered in Perform data science with Azure Databricks
Full practice exam
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Assignment
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Assignment
- Full Practice Exam
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- Lesson introduction
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- Weighted Core Concepts / Skills Measured
Take the Exam
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- Career Support Information
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- Congratulations - What's Next?
- Sign-up for the Proctored Exam
- COVID-19 relief for taking the exam
- Additional Reading
Course Wrap up
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Discussion
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- Course review
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- What to expect next
Auto Summary
Prepare for the DP-100: Data Science on Microsoft Azure Exam with Coursera. This professional-level course focuses on IT & Computer Science, helping data scientists with Python and machine learning expertise master Azure's cloud-scale solutions. Through 540 minutes of content, learners will refresh their knowledge on planning, creating, managing, and deploying data science workloads and machine learning models on Azure. The course includes a practice exam, tips for the official DP-100 exam, and insights into the Microsoft certification program. Available through Starter and Professional subscriptions, this course is ideal for data scientists aiming to advance their careers.
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