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

Microsoft Azure Data Scientist Associate: Cloud-Powered Data 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

Included with Coursera Plus

Earn a career credential that demonstrates your expertise

(504 reviews)

Intermediate level

Recommended experience

2 months at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Earn a career credential that demonstrates your expertise

(504 reviews)

Intermediate level

Recommended experience

2 months at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers

What you'll learn

  • Manage Azure resources for machine learning

  • Run experiments and train models

  • Deploy and operationalize ethical machine learning solutions

Overview

What’s included

Shareable certificate

Add to your LinkedIn profile

Industry certification
Taught in English
93 practice exercises

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

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

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

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

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

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

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

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

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

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

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

 Microsoft
239 Courses1,956,179 learners

Offered by

Microsoft

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