110 
Published 6/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 694.27 MB | Duration: 1h 32m
Learn Logistic Regression and Time Series Forecasting, statistical concepts and predictive modeling with SAS
What you'll learn
Skills like skill to analyze data and see a complex pattern, coding skill, and strong understanding of concepts.
This course teaches the individual to be comfortable with coding so that it can be industry ready and work in the practical world.
Learn regression, classification, neural network, pm with SAS EM variables selection, predictive modeling with SAS EM basics
It aims to provide knowledge to the trainees about SAS enterprise miner and how it can be used in predictive modeling.
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.
Description
Predictive modeling is the process of studying the data models. To predict models a different set of methods of statistics are used .these models are made by numerous predictors. SAS enterprise miner tends to provide us with several tools for predictive modeling.the methods used in predictive modeling comes from several areas of research, including statistics, pattern recognition, and machine learning. By this course you will be able to have complete knowledge of predictive modeling with SAS enterprise miner. The trainee will study the research of different predictors and predict data according to different concepts. It is currently the most commonly used in computer science, information technology, and information services domain.This course covers many skills that students can add up for jobs and careers. These skills are explained here to help students understand the worth of this course of predictive modeling with SAS enterprise miner. Skills like skill to analyze data and see a complex pattern, coding skill, and strong understanding of concepts. It is very necessary to understand data when you are willing or working for predictive modeling and make sense in no time and this is taught in this course theoretically as well as practically with examples. This course teaches the individual to be comfortable with coding so that it can be industry ready and work in the practical world. It also helps in a strong understanding of the concepts of the course modules such as regression, classification, neural network, pm with SAS EM variables selection, predictive modeling with SAS EM basics and more concepts that are taught which are frequently asked in interviews and which will judge an individual's understanding about the predictive modeling with SAS enterprise miner.The objective of the predictive modeling training program is to assist people who are willing to learn from scratch. The trainee will be able to use data mining processes to create highly accurate predictive and descriptive models and will provide predictive modeling skills as mentioned by business sectors/domains. After the end of this program trainees will be able to work effectively and efficiently and he will be through with all the concepts of SAS enterprise miner.
Overview
Section 1: SAS Predictive Modeling
Lecture 1 Introduction of SAS Enterprise Miner
Lecture 2 Select a SAS Table
Lecture 3 Creating Input Data Node
Lecture 4 Metadata Advisor Options
Lecture 5 Add More Data Sources
Lecture 6 Sample Statistics
Lecture 7 Trial report
Lecture 8 Properties of Cluster Node
Lecture 9 Variable Selction
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.
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