SAS Predictive Modeling – (3 in 1) with 3 live Case Studies

SAS Predictive Modeling with Logistic Regression, Logistic Regression and Time Series Forecasting – 3 Live Case Studies

** THIS COURSE IS FOR INTERMEDIATE LEVEL SAS PROGRAMMER. DO NOT BUY THE COURSE IF YOU ARE A BEGINNER **

What you’ll learn

  • Linear Regression, Logistic Regression &Time Series Forecasting.
  • Live Project on Linear Regression, Linear Regression, Logistic Regression &Time Series Forecasting.
  • Business Analytics in Short and Why it is So much Important Now a Days!.
  • Multi Collinearity and Auto Corelation.
  • ODDS AND ODDS Ratio.
  • Concordant Pairs,Discordant Pairs and Tied Pairs.
  • Setting the Cut Point Probability Level.
  • Confusion Matrix.
  • Smoothing Technques.
  • Stationarity and Non-stationarity.
  • ARIMA Modelling.
  • BOX JENKINS Technology.

Course Content

  • Overview Of the Course.
  • Introduction to Business Analytics.
  • Linear Regression-Practical sessions.
  • Linear Regression-Practical sessions.
  • Logistic regression – Concepts.
  • Logistic regression-Practical Session.
  • Time series forecasting Concept.
  • Time Series Forecasting Practical Session.

SAS Predictive Modeling - (3 in 1) with 3 live Case Studies

Requirements

  • Base SAS Knowledge is a Must.
  • THIS COURSE IS NOT FOR THE BEGINNERS – IF YOU DO NOT HAVE BASE SAS KNOWLEDGE AVOID THIS COURSE.
  • Statistics Knowledge will be an added advantage.
  • Understanding of Econometrics is also an added advantage.
Description

** 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. Technique

 

This 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

 

Who this course is for:
  • Intermediate SAS user
  • People who wants to get insight into data and want to predict the future outcome from the data
  • Data Science Enthusiastics
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