Specialized Models: Time Series and Survival Analysis by IBM via Coursera: Fee, Duration, How to Apply

Quick Facts

particular	details
Medium of instructions English	Mode of learning Self study	Mode of Delivery Video and Text Based	Learning efforts 3 Hours Per Week

Course overview

By taking up the Specialized Models: Time Series and Survival Analysis online course the students will be working on the ways to identify the modelling challenges that are common within the domain of time series data. The course will further be helping to understand the process of how trends are gauged and accessed in a time series of data. In the Specialized Models: Time Series and Survival Analysis certification syllabus the students will be covering chapters on- Identifying Nonstationarity, Common Transformations, Smoothing Moving Averages, Time Series Smoothing, Deep Learning Notebook, Survival Analysis and Censoring and others. The online course on Specialized Models: Time Series and Survival Analysis by Coursera will be elaborating on the domains of “time-series data” and will be working on its applications.

Course and certificate fees

Type of course

Free

The fees for the course Specialized Models: Time Series and Survival Analysis is -

Head	Amount in INR
Certificate fees	Rs. 2,435

certificate availability

Yes

certificate providing authority

Coursera

certificate fees

₹2,435

Who it is for

Data scientist

The Specialized Models: Time Series and Survival Analysis programme is for the following students-

Data scientists

Eligibility criteria

Education

For applying in the Specialized Models: Time Series and Survival Analysis programme the students to need to have a fair understanding of Python, Calculus, Exploratory data analysis, Linear Algebra, Probability, Supervised machine learning, Unsupervised machine learning and Statistics.

Certification Qualification Details

For receiving the certificate the students need to complete the Specialized Models: Time Series and Survival Analysis programme in the stipulated time frame.

What you will learn

Knowledge of deep learning

After completing the Specialized Models: Time Series and Survival Analysis online course the students will learn about-

Students will get their skills enhanced in the genre of deep learning.
The chapter on survival analysis forecasts will be covered in details.
Applicants will be working on the mechanisms of “stationary notebook”.
In the Specialized Models: Time Series and Survival Analysis certification syllabus the students will cover the chapter of “Time Series Smoothing”.
The details and working mechanisms of machine learning will be covered.

The syllabus

Module 1: Introduction to time series analysis

Videos

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

Readings

Time series demo (activity)
Time series decomposition demo (activity)
Summary/review

Assignments

Check for Understanding
Check for Understanding
End of Module Quiz

Module 2: Stationarity and time series smoothing

Videos

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

Readings

Stationarity demo (activity)
Time series smoothing demo (activity)
Summary/review

Assignments

Check for Understanding
Check for Understanding
End of Module Quiz

Module 3: ARMA and ARIMA models

Videos

Autoregressive models and moving average models
Useful Plots
ARMA models notebook -part 1
ARMA models notebook - part 2
ARIMA and SARIMA Models1
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

Readings

ARMA models demo (activity)
SARIMA prophet demo (activity)
Summary/review

Assignments

Check for Understanding
Check for Understanding
End of Module Quiz

Module 4: Deep Learning and survival analysis forecasts

Videos

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

Readings

Deep learning for forecasting demo (activity)
Survival analysis demo (activity)
Summary/review

Assignments

Check for Understanding
Check for Understanding
End of Module Quiz

Peer Review

Final Project

Admission details

Filling the form

For getting enrolled in the Specialized Models: Time Series and Survival Analysis online course the students need to follow the listed steps-

Step 1: The URL mentioned below needs to be visited by the interested students- https://www.coursera.org/learn/time-series- survival-analysis

Step 2: The candidates who are interested in applying for the course have to click on the “enroll” button.

Step 3: Students have to select the course given.

Scholarship Details

Note: Financial aid is available but the amount has not been specified.

How it helps

The Specialized Models: Time Series and Survival Analysis certification benefits the candidates by allowing them a platform to develop more skills in the domain of the- Probability, Unsupervised machine learning, Linear Algebra, Exploratory data analysis, Calculus, Exploratory data analysis, Supervised machine learning, Statistics and Python. The Specialized Models: Time Series and Survival Analysis online course is being offered by IBM and is available on the platform of Coursera. The application fee for the course is free and the students will get to access the course guides after the process of registration. The programme certificate can be used by the students in their receptive CV and professional social media handles namely- LinkedIn, Monster India and others. The students in the course session will be guided and trained by professionals and industry experts.