4.5
stars
104 ratings

Mark J Grover +1 more instructor

10,878 already enrolled

Offered By

Specialized Models: Time Series and Survival Analysis

IBM Skills Network

About this Course

17,061 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

49,058 Learners

13 Courses

Miguel Maldonado

Machine Learning Curriculum Developer

Data and AI Learning

33,066 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

Week1

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 Introduction2mIntroduction to Forecasting and Time Series Analysis11mPandas Time Series Notebook - Part 17mPandas Time Series Notebook - Part 210mPandas Time Series Notebook - Part 313mPandas Time Series Notebook - Part 49mTime Series Decomposition4mDecomposition Models9mDecomposition Notebook - Part 17mDecomposition Notebook - Part 27m

3 readings

Time Series Demo (Activity)10mTime Series Decomposition Demo (Activity)10mSummary/Review10m

3 practice exercises

Check for Understanding5mCheck for Understanding5mEnd of Module Quiz10m

Week2

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 Autocorrelation5mStationarity Notebook - Part 17mStationarity Notebook - Part 27mStationarity Notebook - Part 314mNonstationarity Examples4mIdentifying Nonstationarity7mCommon Transformations6mTime Series Smoothing6mSmoothing Moving Averages5mSmoothing Exponential Intro5mAdvanced Smoothing12mSmoothing Notebook - Part 112mSmoothing Notebook - Part 215m

3 readings

Stationarity Demo (Activity)10mTime Series Smoothing Demo (Activity)10mSummary/Review10m

3 practice exercises

Check for Understanding5mCheck for Understanding5mEnd of Module Quiz10m

Week3

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 Models6mUseful Plots9mARMA Models Notebook - Part 110mARMA Models Notebook - Part 210mARIMA and SARIMA Models12mSARIMA Prophet Notebook - Part 112mSARIMA Prophet Notebook - Part 215mSARIMA Prophet Notebook - Part 314mSARIMA Prophet Notebook - Part 425m

3 readings

ARMA Models Demo (Activity)10mSARIMA Prophet Demo (Activity)10mSummary/Review10m

3 practice exercises

Check for Understanding5mCheck for Understanding5mEnd of Module Quiz10m

Week4

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 16mDeep Learning - Part 26mDeep Learning - Part 34mDeep Learning Notebook - Part 114mDeep Learning Notebook - Part 211mSurvival Analysis and Censoring - Part 110mSurvival Analysis and Censoring - Part 28mSurvival Analysis Notebook8m

3 readings

Deep Learning for Forecasting Demo (Activity)10mSurvival Analysis Demo (Activity)10mSummary/Review10m

3 practice exercises

Check for Understanding5mCheck for Understanding5mEnd 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 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.

by KPApr 7, 2022

excellent and well explained course, especially for SARIMAX models.

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 JMJul 23, 2021

Great course, very well taught and topics are useful for future applications

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 subscribe to this Certificate?
When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. 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.
What is the refund policy?
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

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