Data Science Essentials

Explore the data science process – An Introduction

• Understand data science thinking
• Know the data science process
• Use AML to create and publish a first machine learning experiment
• Lab: Creating your first model in Azure Machine Learning

Probability and statistics in data science

• Understand and apply confidence intervals and hypothesis testing
• Understand the meaning and application of correlation Know how to apply simulation
• Lab: Working with probability and statistics
• Lab: Simulation and hypothesis testing

Working with data – Ingestion and preparation

• Know the basics of data ingestion and selection
• Understand the importance and process for data cleaning, integration and transformation
• Lab: Data ingestion and selection - new
• Lab: Data munging with Azure Machine Learning, R, and Python on Azure stack

Data Exploration and Visualization

• Know how to create and interpret basic plot types
• Understand the process of exploring datasets
• Lab: Exploring data with visualization with Azure Machine Learning, R and Python

Introduction to Supervised Machine Learning

• Understand the basic concepts of supervised learning
• Understand the basic concepts of unsupervised learning
• Create simple machine learning models in AML
• Lab: Classification of people by income
• Lab: Auto price prediction with regression
• Lab: K-means clustering with Azure Machine Learning