Microsoft Digital Skills - Azure Data Scientist - (2023)

DP-100
Fermé
Saskatchewan Polytechnic
Regina, Saskatchewan, Canada
Jeremy Eng
Lead Cloud Applications and Data Instructor
3
Chronologie
  • juillet 1, 2023
    Début de expérience
  • juillet 5, 2023
    Project Scope Meeting
  • décembre 16, 2023
    Fin de expérience
Expérience
4 projets souhaités
Dates fixées par le expérience
Entreprises privilégiées
N'importe où
Any
N'importe qu'elle industrie

Portée de Expérience

Catégories
Apprentissage automatique Intelligence artificielle Visualisation des données Analyse des données Modélisation des données
Compétences
microsoft azure machine learning model training data science data ingestion digital literacy machine learning microsoft certified professional forecasting
Objectifs et capacités de apprenant.es

Saskatchewan Polytechnic is the first post-secondary institution in Canada to become a Microsoft in Education Global Training Partner.

As a Microsoft in Education Global Training Partner, Saskatchewan Polytechnic offers a range of services provided by fully qualified Microsoft Certified trainers and Microsoft Certified Educators, delivering official Microsoft Learn Curriculum in Microsoft Technical Certifications, Microsoft Fundamentals as well as Microsoft Certified Educator content.

This posting is for a course to prepare students for the following Microsoft Role: Azure Data Scientist.

These courses run on a rolling basis throughout the year - please submit to this posting if your project is to be completed in 2023. For projects running future other timeframes, please refer to our subportal on Riipen.

Students in this course are all enrolled in the School of Continuing Education and therefore are more experienced in the workforce.

Apprenant.es

Apprenant.es
Formation continue
Tout niveau
10 apprenant.es dans le programme
Projet
20 heures par apprenant.e
Les apprenant.es s'auto-attribuent
Projets individuels
Résultats et livrables attendus

This will be dependent on the scope of the given project. This could include:

A report and/or presentation showing the student's findings and projections on how their changes will affect your business.

Some potential project examples:

  • Create and train machine learning models from data to make predictions. Can include deploying a trained model to the cloud.
  • Tune hyperparameters of existing machine learning models for optimization. Includes tracking model versions and efficiently searching the hyperparameter space.
  • Create a machine learning pipeline consisting of multiple steps in the machine learning process. Can include data ingestion and model deployment steps.
Chronologie du projet
  • juillet 1, 2023
    Début de expérience
  • juillet 5, 2023
    Project Scope Meeting
  • décembre 16, 2023
    Fin de expérience

Exemples de projets

Exigances

In this course, students will learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches how to leverage 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.

This course is designed 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.

Students in this course will be developing the skillset required to successfully write the DP-100: Design and Implementing a Data Science Solution on Azure

Critères supplé mentaires pour entreprise

Les entreprises doivent répondre aux questions suivantes pour soumettre une demande de jumelage pour cette expérience:

  • Q - Case à cocher
  • Q - Case à cocher