4.5
stars
104 ratings

Mark J Grover +1 more instructor

10,590 already enrolled

Offered By

Specialized Models: Time Series and Survival Analysis

IBM Skills Network

About this Course

16,907 recent views

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.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Intermediate Level

Approx. 11 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Skills you will gain

Dimensionality Reduction
Unsupervised Learning
Cluster Analysis
Time Series
K Means Clustering

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Intermediate Level

Approx. 11 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructors

Instructor rating

4.33/5 (39 Ratings)

Mark J Grover

Digital Content Delivery Lead

IBM Data & AI Learning

46,930 Learners

13 Courses

Miguel Maldonado

Machine Learning Curriculum Developer

Data and AI Learning

31,366 Learners

5 Courses

Offered by

IBM Skills Network

IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

Syllabus - What you will learn from this course

Week

Week 1

2 hours to complete

Introduction to Time Series Analysis

2 hours to complete

10 videos (Total 83 min), 3 readings, 3 quizzes

10 videos

Course Introduction2m

Introduction to Forecasting and Time Series Analysis11m

Pandas Time Series Notebook - Part 17m

Pandas Time Series Notebook - Part 210m

Pandas Time Series Notebook - Part 313m

Pandas Time Series Notebook - Part 49m

Time Series Decomposition4m

Decomposition Models9m

Decomposition Notebook - Part 17m

Decomposition Notebook - Part 27m

3 readings

Time Series Demo (Activity)10m

Time Series Decomposition Demo (Activity)10m

Summary/Review10m

3 practice exercises

Check for Understanding5m

End of Module Quiz10m

Week

Week 2

3 hours to complete

Stationarity and Time Series Smoothing

3 hours to complete

13 videos (Total 110 min), 3 readings, 3 quizzes

13 videos

Stationarity and Autocorrelation5m

Stationarity Notebook - Part 17m

Stationarity Notebook - Part 27m

Stationarity Notebook - Part 314m

Nonstationarity Examples4m

Identifying Nonstationarity7m

Common Transformations6m

Time Series Smoothing6m

Smoothing Moving Averages5m

Smoothing Exponential Intro5m

Advanced Smoothing12m

Smoothing Notebook - Part 112m

Smoothing Notebook - Part 215m

3 readings

Stationarity Demo (Activity)10m

Time Series Smoothing Demo (Activity)10m

Summary/Review10m

3 practice exercises

Check for Understanding5m

End of Module Quiz10m

Week

Week 3

3 hours to complete

ARMA and ARIMA Models

3 hours to complete

9 videos (Total 117 min), 3 readings, 3 quizzes

9 videos

Autoregressive Models and Moving Average Models6m

Useful Plots9m

ARMA Models Notebook - Part 110m

ARMA Models Notebook - Part 210m

ARIMA and SARIMA Models12m

SARIMA Prophet Notebook - Part 112m

SARIMA Prophet Notebook - Part 215m

SARIMA Prophet Notebook - Part 314m

SARIMA Prophet Notebook - Part 425m

3 readings

ARMA Models Demo (Activity)10m

SARIMA Prophet Demo (Activity)10m

Summary/Review10m

3 practice exercises

Check for Understanding5m

End of Module Quiz10m

Week

Week 4

3 hours to complete

Deep Learning and Survival Analysis Forecasts

This module introduces two additional tools for forecasting: Deep Learning and Survival Analysis. In addition to AI and Machine Learning applications, Deep Learning is also used for forecasting. Survival Analysis is a branch of Statistics first ideated to analyze hazard functions and the expected time for an event such as mechanical failure or death to happen. Survival Analysis is still used widely in the pharmaceutical industry and also in other business scenarios with limited data related to censoring, the lack of information on whether an event occurred or not for a certain observation.

3 hours to complete

8 videos (Total 70 min), 3 readings, 4 quizzes

8 videos

Deep Learning - Part 16m

Deep Learning - Part 26m

Deep Learning - Part 34m

Deep Learning Notebook - Part 114m

Deep Learning Notebook - Part 211m

Survival Analysis and Censoring - Part 110m

Survival Analysis and Censoring - Part 28m

Survival Analysis Notebook8m

3 readings

Deep Learning for Forecasting Demo (Activity)10m

Survival Analysis Demo (Activity)10m

Summary/Review10m

3 practice exercises

Check for Understanding5m

End of Module Quiz10m

Reviews

4.5

28 reviews

5 stars
72.11%
4 stars
15.38%
3 stars
6.73%
2 stars
3.84%
1 star
1.92%

TOP REVIEWS FROM SPECIALIZED MODELS: TIME SERIES AND SURVIVAL ANALYSIS

by YCApr 30, 2022

Excellenct course.

I could experience so many methodologies.

So tough to finish each project.

I really thank IBM and Coursera for this great course with just so small tuition fee.

by KPApr 7, 2022

excellent and well explained course, especially for SARIMAX models.

by ANov 26, 2021

Clearly explaind. I am currently working on time series forecasting and predictions. This course helped me a lot about the details of the topics.

by GSMay 15, 2021

It is a good course to build foundation on the modeling of timerseries data. It will be good to add other lessons for anomaly detection on timeseries.

View all reviews

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I purchase the Certificate?
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

Build employee skills, drive business results

Discover Coursera for Business

Specialized Models: Time Series and Survival Analysis

Specialized Models: Time Series and Survival Analysis

About this Course

Skills you will gain