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Overview
This Analyzing Time Series and Sequential Data Specialization is offered by Coursera in partnership with SAS.
In this specialization’s project, learners will discover signal components in high value series then specify custom specifications appropriate for these series.
These custom specifications are incorporated into a large scale forecasting system that learners create to automate the process of model generation, model selection and forecasting.
Learners accommodate recurrent events and anomalies in the process generating the data to refine the automatic forecasting system .
Advance your subject-matter expertise
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from SAS
Programme Structure
Courses included:
- Creating Features for Time Series Data
- Building a Large-Scale, Automated Forecasting System
- Modeling Time Series and Sequential Data
Key information
Duration
- Part-time
- 1 months
- 10 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- Mountain View, United States
Disciplines
Data Science & Big Data Data Analytics View 177 other Short Courses in Data Analytics in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Intermediate level
- Recommended experience: Comfortability with basic statistical concepts from Statistics with SAS. Familiarity with matrices and principal components analysis is helpful.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
- This short course is included with Coursera Plus subscription
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
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