Specialized Models: Time Series and Survival Analysis

This course will introduce you to Machine Learning topics that can be used in conjunction with essential tasks such as forecasting and analysing censored data. Learn how to analyze data with a time component, and how to infer the outcome from censored data. A few techniques will be taught for Survival Analysis and Time Series Analysis. This course focuses on applying best practices and validating assumptions derived through statistical learning.

This course will help you: Identify common modeling problems with time series data. Explain how to decompose Time Series Data: trend, seasonality and residuals. Describe survival modeling approaches and hazard modeling. Identify types suitable for survival analysis. This course is for data scientists who are interested in getting hands-on experience in Time Series Analysis and Survival Analysis. What skills are required? You should be familiar with Python programming to get the most from this course.