Specialized Models: Time Series and Survival Analysis – W7106G

Course Name:

Specialized Models: Time Series and Survival Analysis

W7106G

Skill Level:

Intermediate

Modality:

WBT – Web Based Training

Duration:

1.375 Day/s

Price:
Request Quote

Overview:

This course introduces you to additional topics in Machine Learning that complement essential tasks, including forecasting and analyzing censored data.

This course introduces you to additional topics in Machine Learning that complement essential tasks, including forecasting and analyzing censored data. You will learn how to find analyze data with a time component and censored data that needs outcome inference. You will learn a few techniques for Time Series Analysis and Survival Analysis. The hands-on section of this course focuses on using best practices and verifying assumptions derived from Statistical Learning.


Enroll here

Please enable JavaScript in your browser to complete this form.
Email
Multiple Choice
How did you hear about us?
Yes, I would like to receive special offers from CRS.
Yes, I would like to receive special offers from CRS.


Target Audience:

This course targets aspiring data scientists interested in acquiring hands-on experience with Time Series Analysis and Survival Analysis.

[List]

Prerequisites:

To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Supervised Machine Learning, Unsupervised Machine Learning, Probability, and Statistics.

Topic:

1. Introduction to Time Series Analysis

2. Stationarity and Time Series Smoothing

3. ARMA and ARIMA Models

4. Deep Learning and Survival Analysis Forecasts

Objective:

By the end of this course you should be able to:- 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. 

– DesCR – Classroom Trainingibe hazard and survival modeling approaches. 

– Identify types of problems suitable for survival analysis.

Remarks:

Category:

Data and AI

Product Name:

Non-Product Education

Badge and Certification Info:

NONE

0

Brand: 

Watson AI

Follow on Courses:

 

 

Replaced By:

ai;ai ladder;deep learning

Lab Access Duration:

 

CRS is the top Global Training Provider for some of the world’s biggest brands.

Call Now +27 12 023 1959