Overview
In addition, a business case study is defined to guide participants through all steps of the analytical life cycle, from problem understanding to model deployment, through data preparation, feature selection, model training and validation, and model assessment. A series of demonstrations and exercises is used to reinforce the concepts and the analytical approach to solving business problems.
This Machine Learning Using SAS Viya course offered by Coursera in partnership with SAS uses Model Studio, the pipeline flow interface in SAS Viya that enables you to prepare, develop, compare, and deploy advanced analytics models.
You learn to train supervised machine learning models to make better decisions on big data. The SAS applications used in this course make machine learning possible without programming or coding.
Skills you'll gain
- SAS (Software)
- Statistical Programming
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Programme Structure
Courses include:
- Getting Started with Machine Learning and SAS® Viya
- Data Preprocessing and Algorithm Selection
- Decision Trees and Ensembles of Trees
- Neural Networks
- Support Vector Machines
- Model Assessment and Deployment
Key information
Duration
- Part-time
- 1 months
- 11 hrs/week
Start dates & application deadlines
Language
Delivered
Campus Location
- Mountain View, United States
Disciplines
Computer Sciences Data Science & Big Data Machine Learning View 525 other Short Courses in Computer Sciences in United StatesWhat students do after studying
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
- Some related experience required
Tuition Fees
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
Additional Details
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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.