IBM - Specialized Models: Time Series and Survival Analysis
- Offered byCoursera
Specialized Models: Time Series and Survival Analysis at Coursera Overview
Duration | 11 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Specialized Models: Time Series and Survival Analysis at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 6 of 6 in the IBM Machine Learning
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Intermediate Level
- Approx. 11 hours to complete
- English Subtitles: English
Specialized Models: Time Series and Survival Analysis at Coursera Course details
- 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.
- 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
- Describe hazard and survival modeling approaches
- Identify types of problems suitable for survival analysis
- Who should take this course?
- This course targets aspiring data scientists interested in acquiring hands-on experience with Time Series Analysis and Survival Analysis.
- What skills should you have?
- 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.
Specialized Models: Time Series and Survival Analysis at Coursera Curriculum
Introduction to Time Series Analysis
Course Introduction
Introduction to Forecasting and Time Series Analysis
Pandas Time Series Notebook - Part 1
Pandas Time Series Notebook - Part 2
Pandas Time Series Notebook - Part 3
Pandas Time Series Notebook - Part 4
Time Series Decomposition
Decomposition Models
Decomposition Notebook - Part 1
Decomposition Notebook - Part 2
Time Series Demo (Activity)
Time Series Decomposition Demo (Activity)
Summary/Review
Check for Understanding
Check for Understanding
End of Module Quiz
Stationarity and Time Series Smoothing
Stationarity and Autocorrelation
Stationarity Notebook - Part 1
Stationarity Notebook - Part 2
Stationarity Notebook - Part 3
Nonstationarity Examples
Identifying Nonstationarity
Common Transformations
Time Series Smoothing
Smoothing Moving Averages
Smoothing Exponential Intro
Advanced Smoothing
Smoothing Notebook - Part 1
Smoothing Notebook - Part 2
Stationarity Demo (Activity)
Time Series Smoothing Demo (Activity)
Summary/Review
Check for Understanding
Check for Understanding
End of Module Quiz
ARMA and ARIMA Models
Autoregressive Models and Moving Average Models
Useful Plots
ARMA Models Notebook - Part 1
ARMA Models Notebook - Part 2
ARIMA and SARIMA Models
SARIMA Prophet Notebook - Part 1
SARIMA Prophet Notebook - Part 2
SARIMA Prophet Notebook - Part 3
SARIMA Prophet Notebook - Part 4
ARMA Models Demo (Activity)
SARIMA Prophet Demo (Activity)
Summary/Review
Check for Understanding
Check for Understanding
End of Module Quiz
Deep Learning and Survival Analysis Forecasts
Deep Learning - Part 1
Deep Learning - Part 2
Deep Learning - Part 3
Deep Learning Notebook - Part 1
Deep Learning Notebook - Part 2
Survival Analysis and Censoring - Part 1
Survival Analysis and Censoring - Part 2
Survival Analysis Notebook
Deep Learning for Forecasting Demo (Activity)
Survival Analysis Demo (Activity)
Summary/Review
Check for Understanding
Check for Understanding
End of Module Quiz
Specialized Models: Time Series and Survival Analysis at Coursera Admission Process
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