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Specialized Models: Time Series and Survival Analysis

Name: Specialized Models: Time Series and Survival Analysis
Rating: 5 (8 reviews)

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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(8)

Description

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

Instructors

Mark J Grover

Digital Content Delivery Lead

Miguel Maldonado

Machine Learning Curriculum Developer

Course Overview

Instructor-Moderated Discussions

Post course interactions

International faculty

Reviews

Average rating based on 8 reviews

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FAQs

When will I have access to the lectures and assignments?

What will I get if I subscribe to this Certificate?

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