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Predictive Modeling with SAS Enterprise Miner (5 Courses, 1+ Projects)
This Predictive Modeling With SAS Enterprise Miner includes 5 courses , 1 Projects with 9+ hours of video tutorials and Lifetime 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.
Predictive Modeling with SAS EM Basics
PM with SAS EM Variables Selection
SAS PM EM COMBINATION
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What you get in this Predictive Modeling with SAS Enterprise Miner?
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About Predictive Modeling With SAS Enterprise Miner
|Course||No. of Hours|
|SAS Predictive Modeling:01 - Introduction||1h 53m|
|SAS Predictive Modeling:02 - Variables||2h 23m|
|SAS Predictive Modeling:03 - Combination||2h 46m|
|SAS Predictive Modeling:04 - Neural Networks||2h 02m|
|SAS Predictive Modeling:05 - Regression||42m|
|Project - Logistic Regression using SAS Stat||4h 33m|
|Course Name||Online Predictive Modeling With SAS Enterprise Miner|
|Deal||You get access to all 5 courses, 1 Projects bundle. You do not need to purchase each course separately.|
|Hours||9+ 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||Lifetime 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 5 courses, 1 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|
|System Requirement||1 GB RAM or higher|
|Other Requirement||Speaker / Headphone|
Predictive Modeling with SAS Enterprise Miner Curriculum
It aims to provide knowledge to the trainees about SAS enterprise miner and how it can be used in predictive modeling. This training program will help the trainee to master all the concepts of SAS enterprise miner and after the end of this course, trainees will be able to work with this programming language.
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.
This training program includes five training modules which are planned in such a way that all the necessary information is brief about the training units.
predictive modeling with SAS EM basics is the first module in which you get to know about the introduction of predictive modeling with SAS enterprise miner. Predictive modeling is explained from the beginner’s level. Each concept is covered with simple examples. The training module will be explained through a video lecture.
pm with SAS EM variables selection is next which lecture about how variable selection can be done using SAS enterprise miner is explained in the modules the information about this module is covered by a video tutorial of almost two hours long where step by step all the things are explained.
SAS pm EM combination is the third module in which you will learn how to generate combinations in SAS through a video lecture by the educator which is going to be almost two hours long that will include both, the theory and the practical part and doubt are also entertained after the module.
neural networks are the next module in which you are going to learn about how neural networks are used in computing systEMs with interconnected nodes that work like neurons in the human brain and through using different algorithms, they can distinguish unseen patterns and correlations in the raw data and classify the data over time continuously so that the learning can be improved. It will be helpful for the trainee to use different methods in predicting different data models.
regression is the last module of the training module where you will learn about how you can use the regression nodes to fit both linear and logistic regression models in a data set in a SAS enterprise miner process flow. To make it easy for the trainees to understand the concepts this training module is explained through a video tutorial and it is also added simple examples and some practical assessment.
predictive modeling with SAS enterprise miner is a training program which consists of five units which are explained in details through the video tutorials or video lectures .there will be only one combined project of this training program which will be based on all concepts explained in the training modules and the details about the project module will be explained through a video tutorial.
project –logistic regression using SAS stat will be the first project where we will be working on logistic regression using SAS. All the concepts will be covered in the training module and will be applied to complete this project. You will be able to know about predictive modeling that could be used so that one could draft an effective and efficient solution. After completing this project, you will be able to work on either of the projects given to you in practical words.
some of the concepts covered in the course will not be directly stated but it may be used in the project. You will be learning about all such areas through this project and will also be able to attain excellence in the concepts of this course. The mentor will be explaining all the concepts in details and will also be taking up any kind of doubt that you may come across
after completion of these projects an individual will be able to predict data models and by using different kinds of procedures.
Predictive Modeling With SAS Enterprise Miner- Certificate of Completion
What is Predictive Modeling with SAS Enterprise Miner?
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.
What skills will you learn in this Course?
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.
- 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.
- 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.
FAQ’s- General Questions
How long will it take to complete this course?
This course could be completed within four to five days with the committed efforts. As the predictive modeling course is self-paced that should not be a problem. But there are cases where you will be required to master the working of predictive modeling so you will be required to give over more of your time and full efforts. You will need to go through all the concepts in detail and also develop the same projects numerous times so that you could start feeling comfortable working as an expert.
Why should I take this course?
This will be the end spot for those people who are paying attention in learning predictive modeling with SAS enterprise miner within a short period of span .we have to make sure to include all the possible topics in the modules this course that is necessary for one to master the work expertly after this training in the practical life and adding up to that we have included various simple examples to make learning very easy and interesting for the Trainees to work. The language used in this course is very straightforward and all the kind of errors have been diminished to avoid any kind of confusion or misunderstanding in this course to the trainees.
- The predictive modeling with SAS enterprise miner is currently the most commonly used in computer science for predicting the data. This course tends to fulfill the dream of those individuals who aims become a data analyst and data scientist .usually the career benefits of this course is the for the people who are willing to switch to a job according to their interest so after the completion of this predictive modeling with SAS enterprise miner course one can start sitting for interviews and look out of jobs according to his criteria. After this predictive modeling with the SAS enterprise miner course an individual generally turns out to be senior data analysts, associate data scientist, data scientist, and data visualization expert in the respective domains. Even there is a salary incrEMent where you will get improved pay according to your knowledge after this predictive modeling with the SAS enterprise miner course and sometimes individuals also get promotions if after this course you can get more responsibility and raise the corporate ladder.
Lee Tze Hui
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