Foundations of Data Science for Microsoft Developers

This course provides an overview of machine learning techniques to explore, analyze, and leverage data in an Microsoft Data Science and Machine Learning environment. You will be introduced to tools and algorithms you can use to create machine learning models that learn from data, and to scale those models up to big data problems.

On successful Completion of the course you will be able to:

• Describe and Understand Data Science and Machine Learning
• Describe the main categories of machine learning techniques
• Describe and Understand the Data Science Process
• Identify the steps in the machine learning process
• Describe what CRISP-DM is
• Describe and Understand Microsoft Analytics Tools
• Describe Azure ML Studio
• Understand R Technologies in Microsoft
• Describe Microsoft R Enterprise Server
• Describe and Understand Data Science Algorithms supported by Microsoft
• Describe and Understand AI and Machine Learning Techniques supported by Microsoft
• Install and Configure Microsoft Advanced Analytics
• Describe Data Exploration and Preparation
• Describe classification and how classification can be supervised or unsupervised
• Understand and Perform Clustering Methods
• Understand and apply Association Rules
• Understand and apply Regression Analysis
• Understand and apply Classification Methods
• Understand and apply Neural Networks
• Understand and apply Solutions Deployment