Microsoft Azure Data Scientist Associate (DP-100)
About This Course
Unlock your potential in the world of data science with Microsoft Azure Data Scientist Associate (DP-100) course. This course provides a comprehensive overview of how to design and implement data science solutions on the powerful Azure platform. Whether you are a beginner or an experienced professional, this course will help you gain a deeper understanding of Azure's tools and techniques, enabling you to solve complex business problems with innovative solutions.
This course focuses on practical applications, enabling you to handle real-world scenarios effectively. You will learn how to manage data science projects, interpret data patterns, run complex data mining models, and communicate the results effectively. By the end of the course, you'll be equipped with the skills necessary to pass the DP-100 exam and become a certified professional, enhancing your career prospects in the exciting field of data science.
What You'll Learn
- Interpret data patterns to extract business insights for organization benefits and growth.
- Manage data science projects and customize data models
- Manage the capacity to run complex data mining models for exploring data sets
- Communicate data science results, making recommendations using data modelling methods
LU1 Work with Data using Azure Machine Learning
- Topic 1 Explore the Azure Machine Learning workspace
- Topic 2 Work with data in Azure Machine Learning
LU2 Manage Data Science Projects and Customize Data Models
- Topic 3 Automate machine learning model selection with Azure Machine Learning
LU3 Run Data Model and Manage Capacity
- Topic 4 Train models with scripts in Azure Machine Learning
- Topic 5 Optimize model training in Azure Machine Learning
LU4 Recommendations for Model Deployment
- Topic 6 Deploy and consume models with Azure Machine Learning
Entry Requirements
Knowledge and Skills
• Able to operate computer functions with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework
• Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
• Positive Learning Attitude
• Enthusiastic Learner
Experience
• Minimum of 1 year of working experience.
• Minimum 18 years old