Microsoft
Microsoft Azure Data Scientist: Cloud-Powered Skills Professional Certificate
Microsoft

Microsoft Azure Data Scientist: Cloud-Powered Skills Professional Certificate

Advance your career with Microsoft Azure skills. Prepare for the Microsoft Azure Data Fundamentals DP-100 certification exam with these courses.

 Microsoft

Instructor: Microsoft

Access provided by SDNB College

31,644 already enrolled

Earn a career credential that demonstrates your expertise
4.2

(503 reviews)

Intermediate level

Recommended experience

2 months to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Earn a career credential that demonstrates your expertise
4.2

(503 reviews)

Intermediate level

Recommended experience

2 months to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Manage Azure resources for machine learning

  • Run experiments and train models

  • Deploy and operationalize ethical machine learning solutions

Details to know

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Industry certification
Taught in English

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Advance your career with in-demand skills

  • Receive professional-level training from Microsoft
  • Demonstrate your technical proficiency
  • Earn an employer-recognized certificate from Microsoft
  • Prepare for an industry certification exam

Earn 50% off your Microsoft Azure Data Fundamentals DP-100 Certification Exam

Professional Certificate - 5 course series

What you'll learn

  • How to plan and create a working environment for data science workloads on Azure

  • How to run data experiments and train predictive models

Skills you'll gain

Category: Artificial Neural Networks
Category: Unsupervised Learning
Category: Machine Learning
Category: Regression Analysis
Category: Pandas (Python Package)
Category: Scikit Learn (Machine Learning Library)
Category: Deep Learning
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Jupyter
Category: Image Analysis
Category: Predictive Modeling
Category: Classification And Regression Tree (CART)
Category: Data Science
Category: Exploratory Data Analysis
Category: MLOps (Machine Learning Operations)
Category: Data Analysis
Category: Microsoft Azure
Category: PyTorch (Machine Learning Library)
Category: Tensorflow
Category: Data Visualization

What you'll learn

  • Identify different kinds of machine learning models

  • How to use the automated machine learning capability of Azure Machine Learning to train and deploy a predictive model

  • Create regression, classification, and clustering models using Azure Machine Learning designer

  • Use Azure Machine Learning to create and publish models without writing code

Skills you'll gain

Category: Microsoft Azure
Category: Machine Learning
Category: Regression Analysis
Category: Unsupervised Learning
Category: Supervised Learning
Category: Predictive Modeling
Category: Application Deployment
Category: MLOps (Machine Learning Operations)
Category: Applied Machine Learning
Category: Cloud Management
Category: Databricks
Category: Responsible AI
Category: Data Pipelines
Category: Virtual Machines
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Scikit Learn (Machine Learning Library)

What you'll learn

  • Learn how to use the Azure Machine Learning Python SDK to create and manage enterprise-ready ML solutions

  • Work with Data and Computer in Azure Machine Learning

  • Use the Azure Machine Learning SDK to train a model. Select models and protect sensitive data

  • Orchestrate pipelines and deploy real-time machine learning services with Azure Machine Learning

Skills you'll gain

Category: Microsoft Azure
Category: Responsible AI
Category: Data Pipelines
Category: MLOps (Machine Learning Operations)
Category: Cloud Computing
Category: Data Security
Category: Continuous Monitoring
Category: Information Privacy
Category: Data Ethics
Category: Databricks
Category: Scalability
Category: Machine Learning
Category: Performance Tuning

What you'll learn

  • Harness the power of Apache Spark and powerful clusters running on the Azure Databricks platform to run data science workloads.

  • Perform machine learning with Azure Databricks. Work with User-Defined Function (UDF) in Azure Databricks

  • Work with DataFrames in Azure Databricks. Use Azure Databricks and the Apache Spark notebook to process large amounts of data

  • Build and query a Delta Lake

Skills you'll gain

Category: Apache Spark
Category: Databricks
Category: Microsoft Azure
Category: Big Data
Category: Exploratory Data Analysis
Category: MLOps (Machine Learning Operations)
Category: Scikit Learn (Machine Learning Library)
Category: PySpark
Category: Machine Learning
Category: Deep Learning
Category: Data Transformation
Category: Data Processing
Category: Applied Machine Learning

What you'll learn

  • Outline the key points covered in the Data Science on Microsoft Azure Exam course

  • Describe best practices for preparing for the Exam DP-100: Designing and Implementing a Data Science Solution on Azure

  • Demonstrate proficiency in the skills measured in the DP-100: Designing and Implementing a Data Science Solution on Azure

Skills you'll gain

Category: Machine Learning
Category: Microsoft Azure
Category: Predictive Modeling
Category: Databricks
Category: Responsible AI
Category: MLOps (Machine Learning Operations)
Category: Exploratory Data Analysis
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Applied Machine Learning
Category: Data Science

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Instructor

 Microsoft
239 Courses1,929,390 learners

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Microsoft

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