Before attending this course, students must have: Azure Fundamentals Understanding of data science including how to prepare data, train models, and evaluate competing models to select the best one. How to program in the Python programming language and use the Python libraries: pandas, scikit-learn, matplotlib, and seaborn.
Cloud
Designing and implementing a data science solution on Azure
Part of StorSoft's cloud training line, the Microsoft Designing and implementing a data science solution on Azure course prepares practitioners to apply these skills on live programs. It targets practitioners who already work in the area and need deeper, applied depth. Delivery is available in classroom formats, typically over 4 days. Relevant background is recommended before enrollment.
MicrosoftCloudAzure Data
Before you enroll
Prerequisites and certification path.
Delivered through StorSoft
Schedule this course for your team.
StorSoft coordinates delivery through its authorized training partners, including Ascendient Learning, and can align scheduling, delivery mode, and cohort size to your program. Course facts are maintained from partner catalogs; confirm current pricing and dates when you submit a request.