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Designing and Implementing a Data Science Solution on Azure (DP-100)

 

Opis szkolenia

DP-100 is an outstanding data science course that our students have found of great value.

It is important to reinforce however that this course is focused on Azure and does not teach the student how to do data science. It is assumed students already know that.

Before attending this course, students MUST have:

  • Deep experience in training, building, and evaluating machine learning models
  • A solid command of Python and its data science libraries including: pandas, scikit-learn, matplotlib, and seaborn.
  • Experience with statistical learning concepts such as: regression, correlation, normalization, feature importance, and AUC - ROC
  • Azure Fundamentals

Profil słuchaczy

This course is aimed at data scientists and those with significant responsibilities in training and deploying machine learning models.

Wymagania

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.

Program szkolenia

Gain the necessary knowledge about how to use Azure services to develop, train, and deploy, machine learning solutions. The course starts with an overview of Azure services that support data science. From there, it focuses on using Azure's premier data science service, Azure Machine Learning service, to automate the data science pipeline. This course is focused on Azure and does not teach the student how to do data science. It is assumed students already know that.

Online training
Modality: L

Trwa 3 dni

Cena (excl. tax)
  • Polska: 2.800,- PLN
Classroom training
Modality: C

Trwa 3 dni

Cena (excl. tax)
  • Polska: 2.800,- PLN

harmonogram

Polish
Time zone CEST
2020-08-17 ― 2020-08-19 Online training Time zone: CEST
2020-12-21 ― 2020-12-23 Online training Time zone: CET
This is an Instructor-Led Online course
Polska
2020-09-14 ― 2020-09-16 Warszawa Enroll
2020-09-28 ― 2020-09-30 Warszawa Enroll
2020-10-12 ― 2020-10-14 Warszawa Enroll
2020-10-26 ― 2020-10-28 Warszawa Enroll
2020-11-16 ― 2020-11-18 Warszawa Enroll
Holandia
2020-10-05 ― 2020-10-07 Utrecht FastTrack - combination of classroom-based training and self-study Enroll
2020-11-30 ― 2020-12-02 Eindhoven FastTrack - combination of classroom-based training and self-study Enroll