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We're here to help you find it20774A - Perform Cloud Data Science with Azure Machine Learning Course Overview
The 20774A - Perform Cloud Data Science with Azure Machine Learning course equips learners with essential skills to harness the power of cloud-based data science. Throughout the course, participants will dive into machine learning techniques, explore the Azure Machine Learning service, and gain hands-on experience in building, training, and deploying models. Key learning objectives include mastering data preparation, model evaluation, and using frameworks like Python and R effectively. By the end of the course, students will be able to implement data-driven solutions in real-world scenarios, enhancing decision-making and business outcomes through advanced analytics. Unlock the potential of your data with Azure today!
Successfully delivered 18 sessions for over 64 professionals
Intermediate
Purchase This Course
USD
View Fees Breakdown
Flexi Video | 16,449 |
Official E-coursebook | |
Exam Voucher (optional) | |
Hands-On-Labs2 | 4,159 |
+ GST 18% | 4,259 |
Total Fees (without exam & Labs) |
22,359 (INR) |
Total Fees (with exam & Labs) |
28,359 (INR) |
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
Certainly! Here are the minimum required prerequisites for successfully undertaking the 20774A - Perform Cloud Data Science with Azure Machine Learning course:
These prerequisites will help ensure that you have a solid foundation for success in the course, allowing you to make the most of the learning experience.
Course 20774A - Perform Cloud Data Science with Azure Machine Learning equips professionals with the skills to leverage Azure for data science, targeting those looking to enhance their analytical capabilities.
The 20774A - Perform Cloud Data Science with Azure Machine Learning course equips students with the skills to leverage Azure for data science projects, focusing on practical applications of machine learning and data analytics.