SAS Predictive Modeling Overview
SAS Predictive Modeling is the process of creating, testing and validating a model to best predict the probability of an outcome. A number of modeling methods from machine learning, artificial intelligence, and statistics are available in predictive analytics software solutions for this task. Predictive modeling is a process that uses data mining and probability to forecast outcomes. Each model is made up of a number of predictors, which are variables that are likely to influence future results. Once data has been collected for relevant predictors, a statistical model is formulated.
Course SAS Predictive Modeling Training Mode of Training Instructor Led Live Online Training Duration 30 hours Timings Flexible (Our Rep will work with you on the timings that suits your needs) Course Material Our Expert Trainer will share you all the necessary course material, ppts, videos and pdfs Examples Trainer will cover Real time scenarios during the training Interview Questions Click here to see the SAS Predictive Modeling Interview Questions Certification Click here to know about the SAS Predictive Modeling Certification Salary Trends Check here to see the salary trends here.
[agroup] [accordion title="Course Objectives"] After Completion of this Course, you will be able to:
Understand the need for Statistical Predictive Modeling Ready-to-use procedures handle a wide range of statistical techniques including simple descriptive statistics. Data visualization. Analysis of variance. Regression. Multivariate, Cluster and non-parametric Analysis.
[/accordion] [/agroup] [agroup] [accordion title="Who Should Attend This Training?"] Aspirants who want to become Business analysts /experts, Business Visualization Analysts or experts and build a strong SAS programming foundation to manipulate data, perform queries and analyses, and generate analytical insights. Additionally, wants to access the power of SAS for Predictive analysis for complex business problems through data mining and predictive modelling using the point-and-click interface. [/accordion] [/agroup] [agroup] [accordion title="What are the pre-requisites for this Training?"]
Attendies should have at least an introductory-level familiarity with basic statistics and regression modeling.
[/accordion] [/agroup] [agroup] [accordion title="Self Paced Vs Live Training"]
Self Paced Learning moves at a pace set by the learner and is cost effective. It boosts the retention of information simultaneously to a large number of people. Self paced training is for the people who want to go fast track and want to finish the course in a minimal time. These SAS Predictive Modeling Training videos are carefully developed in such a way that even a fresher can easily understand and learn the product at his/her own pace.
On the other hand, Live Online Training takes place at a scheduled event or time where an Instructor plays an important role throughout the learning process. [/accordion] [/agroup] [agroup] [accordion title="Why Us?"]?
In Tekslate, Online SAS Predictive Modeling Training is delivered by certified working professionals. Whether a participant is an end-user, partner or an employee working on the tool, our training and assessments will sculpt you to be successful in using critical methodologies by employing SAS Predictive Modeling. Tekslate online training offers you a comprehensive way of learning SAS and equips you in building a better career.
What we promise at TekSlate: 1) We offer flexible timings unlike most other mediums of training, students can pick their own schedule according to their availability. 2) We offer SAS Predictive Modeling Online Courses free demo session, students can attend the demo session, asses the trainer and then join the course. 3) We offer SAS Predictive Modeling Algorithms and also share project scenarios which are similar to what you work when you go to the corporate environment. 4) We share SAS Predictive Modeling Course Online of each training session so that you can review them later as well. The videos developed by experts make it more easier for the learning professionals. [/accordion] [/agroup]