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所在平台: Udemy |
课程主页: https://www.udemy.com/course/sas-predictive-modeling/
课程评论：没有评论
课程名称：SAS预测建模 - 3合1案例研究 课程概述：本课程针对中级SAS程序员，初学者不宜购买。课程与其他网络课程不同，学习者将从基础SAS知识提升到中级及高级水平。我们将以简单易懂的方式逐步讲解线性回归、逻辑回归和时间序列预测这三种预测建模技术。每章结束后，将进行一个行业级案例分析，共计三个案例研究。 什么是SAS预测建模？简单而言，预测建模是一种通过数据挖掘来预测结果和概率的过程。 预测建模的重要性在于它帮助组织/企业通过分析过去数据来预测未来结果，从而做出更好的决策和销售策略。 SAS程序员的薪资水平在美国约为88,000美元至100,000美元/年。此外，SAS程序员的工作需求高涨，各大公司如Facebook、Google、AirBnB、Amazon、Flipkart和Alibaba都在招聘具有预测建模经验的专家。 本课程概述了所有SAS预测建模解决方案，并特别介绍了SAS高性能统计学的功能，展示如何将高级统计应用于大量数据，从中得出具体的解释。 本课程旨在为那些对基础SAS有一定掌握的人士提供学习资源。
** THIS COURSE IS FOR INTERMEDIATE LEVEL SAS PROGRAMMER. DO NOT BUY THE COURSE IF YOU ARE A BEGINNER **Why this Course is Different?This course is NOT like the Other Courses Over the Internet! As you have knowledge in Base SAS so this course will take you to the Intermediate and Advance Level. We will cover all the Hard Things in a easy to understand and Simple Way. Linear Regression, Logistic Regression, Time Series Forecasting we will cover all the 3 Predictive Modeling Technique Step by Step.After Each Chapter We cover ONE Industry Level CASE Study and 3 Case Studies in Total.What Exactly SAS Predictive Modeling Is?Simply Predictive modeling is a process that forecasts outcomes and probabilities through the use of data mining.Why Predictive Modeling is Important?It helps Organization / Business to Predict the Future Outcome from the Past Data. Which helps the Organization to make Better decision and Sales.How Much Salary SAS Programmer is Getting?In USA SAS Programmers are getting anywhere between $88,000 - $100,000/yr.Job Demand For SAS Programmer?Job Demand in SAS is Sky High. All the top Companies are using Predictive Modeling for future Outcome.Companies Like Facebook, Google, AirBnB, Amazon, Flipkart, Alibaba all are Hiring Experts having Experience in Predictive Modeling. TechniqueThis course gives an overview of All SAS Predictive modeling Solution and Specifically introduces the functionality in the SAS High Performance Statics for Predictive Modeling.This course shows examples of applying advanced statics to huge volumes of data and draw specific interpretations out of it.Who Should take the Course?This is an intermediate course designed for whom are comfortable with Base SAS can take the course
