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Specialized Models: Time Series and Survival Analysis

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Certification

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.

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Description

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Skills

PandasMatplotlibPython ProgrammingBig Data AnalyticsData CleaningData VisualizationData AnalysisPower BI

Learning Goals

Identify common modeling challenges with time series data
Explain how to decompose Time Series data: trend, seasonality, and residuals
Explain how autoregressive, moving average, and ARIMA models work
Understand how to select and implement various Time Series models
Describe hazard and survival modeling approaches
Identify types of problems suitable for survival analysis

Course Content

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Instructors

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Mark J Grover

Digital Content Delivery Lead

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Miguel Maldonado

Machine Learning Curriculum Developer

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Course Overview

Instructor-Moderated Discussions

Post course interactions

International faculty

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Course Cover

This course includes

Duration

11 hours
Video Content
11 hours
Level
Intermediate
Instruction Type
Self Paced
Delivery Method
Online
Available on
Desktop, Laptop
Accessibility
Limited Access
Language
English
Subtitles
English
0