SAS Certified Predictive Modeler using SAS Enterprise Miner





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Course Duration

48 hrs

Mode Of Training

Live Web

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SAS Certified Trainer

Course hours 48 hrs

Training Mode Live Web

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SAS Certified Trainer

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About SAS Predictive Modeling Training

This course is appropriate for SAS Enterprise Miner from release 5.3 up to 14.2. The course covers the skills that are required to assemble analysis flow diagrams using the rich tool set of SAS Enterprise Miner for both pattern discovery (segmentation, association, and sequence analyses) and predictive modeling (decision tree, regression, and neural network models).

define a SAS Enterprise Miner project and explore data graphically

modify data for better analysis results

build and understand predictive models such as decision trees and regression models

compare and explain complex models

generate and use score code

apply association and sequence discovery to transaction data.

Data analysts

Aualitative experts, and others who want an introduction to SAS Enterprise Miner

Before attending this course, you should be acquainted with Microsoft Windows and Windows software.

In addition, you should have at least an introductory-level familiarity with basic statistics and regression modeling.

Previous SAS software experience is helpful but not required.

This course addresses SAS Enterprise Miner software.

Introduction

Accessing and Assaying Prepared Data

Introduction to Predictive Modeling: Predictive Modeling Fundamentals and Decision Trees

Introduction to Predictive Modeling: Regressions

Introduction to Predictive Modeling: Neural Networks and Other Modeling Tools

Model Assessment

Model Implementation

Introduction to Pattern Discovery

Special Topics

Case Studies

Training & Digital Badge.

Course material.

2 attempts of Global certification.

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Plenary for SAS Certified Predictive Modeler

Track Week Days Weekends
Course Duration 2 Months 7 Weekends
Hours 1 Hrs Per Day 2 Hrs per Day
Training Mode Live Web/Classroom Live Web/Classroom

SAS Training Upcoming Batches

Course Title Days Mode Date Time
Base SAS (Week-end) / Clinical SAS Sat-Sun Instructor-led Live 30-31 Mar, 6-7 & 13 Apr 9am-2pm
14, 20-21 & 27-28 Apr 9am-2pm

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SAS Certified Predictive Modeler using SAS Enterprise Miner Course Curriculum

SAS Certified Predictive Modeler using SAS Enterprise Miner training

▪ discussing fundamental statistical concepts

▪ examining distributions

▪ describing categorical data

▪ constructing confidence intervals

▪ performing simple tests of hypothesis

▪ performing one-way ANOVA

▪ performing multiple comparisons

▪ performing two-way ANOVA with and without interactions

▪ using exploratory data analysis

▪ producing correlations

▪ fitting a simple linear regression model

▪ understanding the concepts of multiple regression

▪ building and interpreting models

▪ describing all regression techniques

▪ exploring stepwise selection techniques

▪ describing categorical data

▪ examining tests for general and linear association

▪ understanding the concepts of logistic regression and multiple logistic regression

▪ exploring logit plots (Self-Study)

▪ examining residuals

▪ investigating influential observations and collinearity

▪ Introduction

▪ introduction to SAS Enterprise Miner

▪ creating a SAS Enterprise Miner project, library, and diagram

▪ defining a data source

▪ exploring a data source

▪ cultivating decision trees

▪ optimizing the complexity of decision trees

▪ understanding additional diagnostic tools (self-study)

▪ autonomous tree growth options (self-study)

▪ selecting regression inputs

▪ optimizing regression complexity

▪ interpreting regression models

▪ transforming inputs

▪ polynomial regressions (self-study)

▪ introduction to neural network models

▪ input selection

▪ stopped training

▪ other modeling tools (self-study)

▪ model fit statistics

▪ statistical graphics

▪ adjusting for separate sampling

▪ profit matrices

▪ internally scored data sets

▪ score code modules

▪ cluster analysis

▪ market basket analysis (self-study)

▪ ensemble models

▪ variable selection

▪ categorical input consolidation

▪ surrogate models

▪ SAS Rapid Predictive Modeler

▪ banking segmentation case study

▪ website usage associations case study

▪ credit risk case study

▪ enrollment management case study

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Why Choose Us?


Aspire Techsoft provides the Best SAS Certified Predictive Modeler using SAS Enterprise Miner Training in Pune as per the present industry standards. Our training programs will enable professionals to secure placements in MNCs as well as middle-scale industries.
Aspire Techsoft is one of the most recommended SAS Certified Predictive Modeler using SAS Enterprise Miner Training with Placement Institute in Pune that offers a hands-on practical approach with implementation on live projects and will ensure the job with the help of advanced level SAS Certified Predictive Modeler using SAS Enterprise Miner Course in Pune .
Our SAS Certified Predictive Modeler using SAS Enterprise Miner Course curriculum is today's latest industry trends SAS Certified Predictive Modeler using SAS Enterprise Miner course content and business needs; Helping them get placements in multinational companies and achieve their career goals.
Our SAS Certified Predictive Modeler using SAS Enterprise Miner Trainers in Pune have 12+ Years of experience in the SAS Certified Predictive Modeler using SAS Enterprise Miner Domain & they provide theory and practical in-depth concepts with interview preparation skills.
SAS Certified Predictive Modeler using SAS Enterprise Miner Online Training in Pune will be conducted on a weekday and weekend batches with Instructor LED online SAS Certified Predictive Modeler using SAS Enterprise Miner Training in Pune.
Our SAS Certified Predictive Modeler using SAS Enterprise Miner trainers are working professionals who also help candidates get placed in MNCs.
24 X 7 Server Access for Practice Purpose with Technical Support
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Inclusive of SAS Base Programming theory and more.

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Use our free practice tests to prepare for Base SAS certification. So it's a good way to make sure you're ready to schedule and take the SAS Base certification exam.

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