Designing and implementing a data science solution on azure

  • Live Vritual Classroom
  • Classroom Training
  • On-Site Training

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  • Learn with practical projects and hands on real tools.
  • Official Curriculum & Courseware Content.
  • Online Interactive Lab's Access.
  • Adaptive e-Learning with trainer's support.
  • Access Class via PC, Mobile App or on a large screen.
  • Attend Live HD Training Sessions via Go To MeetingTM. Interact with trainer and peers like in a real classroom via voice, video conference and live chat.

Course Description

About the Course

Data Scientist is the central role in developing machine learning models. This role is responsible for solving the business problem that initiated the project. While the Data Engineer will prepare the data to be used for the models, the Data Scientist determines what data is needed for model training, creates model features from the data, determines what machine learning model to use, trains and evaluates the model, and often has involvement in model deployment. Often the data scientist needs to evaluate multiple models to determine which performs the best.

Schedule & Fees

Instructor-Led Online Training
Location Schedule Fees
Client's Home/Office
Duration : 5 Days
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Delivery Mode : Classroom Training*
Location Schedule Fees
Delhi, India
Duration : 5 Days
No Schedule
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Dubai
Duration : 5 Days
No Schedule
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Onsite
Client's Home/Office
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Target Audience

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

Prerequisites

  • 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.

Course Curriculum

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