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Home Data Science Data Science Courses SAS PREDICTIVE MODELING – Learning Path | 6 Course Series

SAS PREDICTIVE MODELING
Learning Path | 6 Course Series

This Predictive Modeling With SAS Enterprise Miner includes 6 courses with 13+ hours of video tutorials and One year access. The SAS enterprise miner is a  data mining tool that helps users develop both the descriptive and predictive models, including components for predictive modeling and in-database scoring. You will learn how to predict data with SAS which includes various statistical concepts from scratch in this course.

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* One Time Payment & Get One year access

Offer ends in:

What you'll get

  • 13+ Hours
  • 6 Courses
  • Course Completion Certificates
  • One year access
  • Self-paced Courses
  • Technical Support
  • Mobile App Access
  • Case Studies

Synopsis

  • Courses: You get access to all 6 courses, Projects bundle. You do not need to purchase each course separately.
  • Hours: 13+ Video Hours
  • Core Coverage: The main aim of this course is to provide a wide understanding of various statistical concepts and using SAS Enterprise Miner in predicting data.
  • Course Validity: One year access
  • Eligibility: Anyone serious about learning Predictive Modeling With SAS Enterprise Miner
  • Pre-Requisites: Basic knowledge about SAS
  • What do you get? Certificate of Completion for each of the 6 courses, Projects
  • Certification Type: Course Completion Certificates
  • Verifiable Certificates? Yes, you get verifiable certificates for each course with a unique link. These link can be included in your resume/Linkedin profile to showcase your enhanced skills
  • Type of Training: Video Course – Self Paced Learning

Content

  • MODULE 1: PREDICTIVE MODELING Essentials Training

    Courses No. of Hours Certificates Details
    SAS Predictive Modeling:01 - Introduction1h 51m✔
    SAS Predictive Modeling:02 - Variables1h 8m✔
    SAS Predictive Modeling:03 - Combination2h 43m✔
  • MODULE 2: Projects based Learning

    Courses No. of Hours Certificates Details
    SAS Predictive Modeling:04 - Neural Networks2h 01m✔
    SAS Predictive Modeling:05 - Regression40m✔
    Logistic Regression using SAS Stat4h 26m✔

Sample Certificate

Course Certification

Requirements

    Some of the prerequisites for this predictive modeling training course must be fulfilled otherwise the understanding of this course could become difficult for some trainees to understand, the prerequisite of this course is not very complicated, the basics requirEMents for the course are a basic understanding of statistics is required. If you have forgotten the simple terms of statistics, you may have revision before the training modules. One must have knowledge about ms excel as you will be using excel data in SAS enterprise miner therefore some understanding of ms excel is required. An introduction to a programming language is necessary so that an individual can work easily with coding .if the requirEMents are not matched then one should go for a bridge course and they can apply for this predictive modeling course.

Target Audience

    This course is suitable for an ample range of students .this needs to be checked to make things clear in your mind if predictive modeling with SAS enterprise miner is appropriate for you or not. The students from mechanical or computer science fields from mathematics or statistics background are suitable. The working professionals from the software field, banking, insurance, share market, information technologies who want to drift to data analysis are more suitable and they comprise a major crowd of our class size. This predictive modeling with the SAS enterprise miner course is also suitable for managers and experienced industry professionals who want to further promote thEMselves as data scientists. People from various fields also take this predictive modeling with SAS enterprise miner training to perform data analysis in their particular fields. Most commonly students having graduate degrees and master’s or postgraduates can apply easily for this course.

* One Time Payment & Get One year access

Offer ends in:

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Course Curriculum
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    CoursesNo. of Hours
    SAS Predictive Modeling:01 - Introduction1h 51m
    SAS Predictive Modeling:02 - Variables1h 8m
    SAS Predictive Modeling:03 - Combination2h 43m
    SAS Predictive Modeling:04 - Neural Networks2h 01m
    SAS Predictive Modeling:05 - Regression1h 8m
    Logistic Regression using SAS Stat4h 26m

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