20774A - Perform Cloud Data Science with Azure Machine Learning Course Overview

20774A - Perform Cloud Data Science with Azure Machine Learning Course Overview

The 20774A - Perform Cloud Data Science with Azure Machine Learning course equips learners with essential skills to harness the power of cloud-based data science. Throughout the course, participants will dive into machine learning techniques, explore the Azure Machine Learning service, and gain hands-on experience in building, training, and deploying models. Key learning objectives include mastering data preparation, model evaluation, and using frameworks like Python and R effectively. By the end of the course, students will be able to implement data-driven solutions in real-world scenarios, enhancing decision-making and business outcomes through advanced analytics. Unlock the potential of your data with Azure today!

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Successfully delivered 18 sessions for over 64 professionals

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Course Prerequisites

Certainly! Here are the minimum required prerequisites for successfully undertaking the 20774A - Perform Cloud Data Science with Azure Machine Learning course:


  • Familiarity with basic programming concepts, preferably in Python.
  • Understanding of fundamental statistical concepts and data analysis techniques.
  • Basic knowledge of machine learning concepts and workflows.
  • Experience with Microsoft Azure services and the Azure portal is beneficial, but not mandatory.

These prerequisites will help ensure that you have a solid foundation for success in the course, allowing you to make the most of the learning experience.


20774A - Perform Cloud Data Science with Azure Machine Learning

Target Audience for 20774A - Perform Cloud Data Science with Azure Machine Learning

Course 20774A - Perform Cloud Data Science with Azure Machine Learning equips professionals with the skills to leverage Azure for data science, targeting those looking to enhance their analytical capabilities.


  • Data Scientists
  • Machine Learning Engineers
  • Data Analysts
  • Business Intelligence Developers
  • Software Developers
  • IT Professionals specializing in Cloud Computing
  • Data Engineers
  • Research Scientists
  • Statisticians
  • Analytics Managers
  • Product Managers
  • DevOps Engineers with a focus on data applications
  • Students in Data Science programs


Learning Objectives - What you will Learn in this 20774A - Perform Cloud Data Science with Azure Machine Learning?

Introduction

The 20774A - Perform Cloud Data Science with Azure Machine Learning course equips students with the skills to leverage Azure for data science projects, focusing on practical applications of machine learning and data analytics.

Learning Objectives and Outcomes

  • Understand the data science lifecycle and its components.
  • Utilize Azure Machine Learning for building, training, and deploying machine learning models.
  • Implement data preparation and feature engineering techniques.
  • Explore Azure Machine Learning Studio for conducting experiments and model management.
  • Apply machine learning algorithms to solve real-world data problems.
  • Evaluate model performance using appropriate metrics and techniques.
  • Integrate Azure services to enhance data science workflows.
  • Use Jupyter notebooks effectively within Azure Machine Learning.
  • Implement automated machine learning for rapid model development.
  • Gain insights on responsible AI practices and ethical considerations in data science.

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