The Azure Data Scientist applies their knowledge of data science and machine learning to implement and run machine learning workloads on Azure; in particular, using Azure Machine Learning Service. This entails planning and creating a suitable working environment for data science workloads on Azure, running data experiments and training predictive models, managing and optimizing models, and deploying machine learning models into production

  • About this course

  • Why should you take this course?

  • What will you learn by taking this course?

  • Chaptar 1. Set up an Azure Machine Learning Workspace

    ✅Create an Azure Machine Learning workspace

    ✅Manage data objects in an Azure Machine Learning workspace

    ✅Manage experiment compute contexts




  • Chaptar 2. Run Experiments and Train Models

    ✅Create models by using Azure Machine Learning Designer

    ✅Run training scripts in an Azure Machine Learning workspace

    ✅Generate metrics from an experiment run

     ✅Automate the model training process


  • Chaptar 3. Optimize and Manage Models

    ✅Use Automated ML to create optimal models

    ✅Use Hyperdrive to tune hyperparameters

    ✅Use model explainers to interpret models

    ✅Manage models


  • Chaptar 4. Deploy and Consume Models

    ✅Create production compute targets

    ✅Deploy a model as a service

    ✅Create a pipeline for batch inferencing

    ✅Publish a designer pipeline as a web service



  • What is Azure?

     Azure is a cloud computing platform and an online portal that allows access and manage the cloud services and resources provided by Microsoft. The services and resources include storing data and transforming it, depending on user requirements.

  • What is the major difference between a Data Scientist and an Azure Data Scientist?

    Th A data scientist applies machine learning techniques to train, evaluate, and deploy models that can solve business problems whereas an Azure Data Scientist applies its knowledge of data science and machine learning to implement and run machine learning workloads on Azure by using the Azure Machine Learning Service.

  • What is the level of Python required for the Azure Data Scientist certification?

    Since Azure Data Scientist  certification and Python is the most widely used and recommended language to work within the data science and machine learning field. So yes if you have basic knowledge of python, commands, libraries, etc it will help in a better understanding of code and concepts of the certification else you can always learn on the way.

  • What level of mathematical and statistical knowledge we need to have as a prerequisite for the Azure Data Scientist certification?

    Basic level of mathematics and statistical concepts knowledge will help in a better understanding of the machine learning model’s evaluation metrics and outcomes.

  • Key Features:
  • Created by a Security expert :
  • Access period : 12 months
  • Course duration : 40+ hours
  • Quizzes & revision exams :
  • Certificate of completion :
  • Support : 24/7 hours
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What is Data Science?


Data science is a concept used to tackle big data and includes data cleansing, preparation, and analysis. A data scientist gathers data from multiple sources and applies machine learning, predictive analytics, and sentiment analysis to extract critical information from the collected data sets. They understand data from a business point of view and can provide accurate predictions and insights that can be used to power critical business decisions.

Importance of Data Science with Cloud Computing

Cloud computing can help a data scientist use platforms such as Windows Azure, which can provide access to programming languages, tools and frameworks, both for free as well as for a fee. Data science and cloud computing essentially go hand in hand. A Data Scientist typically analyzes different types of data that are stored in the Cloud. With the increase in Big Data, Organizations are increasingly storing large sets of data online and there is a need for Data Scientists.




Microsoft Azure holds a significant share in the overall public cloud market. It is a cloud provider of choice for top companies like Adobe, HP, Rolls Royce, and 3M Informatics. Getting Microsoft Azure certified helps start a promising career in the cloud computing space.

Take up Cloud Computing Certification

Over the past few years, the cloud computing industry has generated a lot of interest and investment. Cloud computing has become an integral part of the IT infrastructure for many companies worldwide. Cloud computing is one of the most important investments in modern IT and it’s grown to become a top priority for all organizations. That means IT professionals with cloud skills are in high demand and certifications can help make you even more hirable by validating your cloud skills and expertise. And cloud certifications can go a long way in boosting your IT salary. Whether you’re just getting into cloud computing or you’re ready to take the next step in your IT career, there’s a certification that can help get you where you want to be.


The Demand for Cloud Computing Professionals Will Continue to Grow


Organizations are looking for IT professionals who have gained professional training in cloud computing and can help them implement a cloud environment into their infrastructure as seamlessly as possible. The number of jobs in Microsoft cloud (Azure) has increased over the years, and a study of 120 Microsoft partners indicated that hiring companies had tough time sourcing professionals who were skilled to work on the Microsoft Azure platform. A certification in Azure Infrastructure Solutions will enable you to have the skills necessary for those jobs.

Secure Jobs

If you gain the latest skills in cloud computing, you can land jobs that aren’t influenced by volatile market conditions. This is because most companies find it difficult to find IT professionals with the cloud computing skills they need.


It Proves Your Expertise and Promotes Credibility with Employer and Peers


Certifications are a great way to measure knowledge and skills against industry benchmarks. According to Microsoft and IDC, certification, training, and experience are three of the top four important attributes an organization looks for when hiring for a cloud-related position. A certification in cloud computing implies that you are skilled to help your organization reduce risks and costs to implement your workloads and projects on different cloud platforms. This will provide opportunities for cloud-related projects, and your clients will see you as a credible subject matter expert. It shows that you can work on complex procedures and handle cloud deployment in an enterprise.

Cloud Technology Is The Past, Present, and The Future

Over the last few years, cloud technology has transformed the way businesses operate. Whether you’re planning to carve an entry into this domain or looking to grow your cloud computing career, a certification will help you gain the most-recent skills and contribute to your organization’s business. Building the infrastructure to support cloud computing now accounts for more than a third of all IT spending worldwide, according to research from IDC. Meanwhile spending on traditional, in-house IT continues to slide as computing workloads continue to move to the cloud, whether that is public cloud services offered by vendors or private clouds built by enterprises themselves.


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