Training Structure
Live Web
Features:
- Get trained by experts.
- Attend classes from anywhere right from your computer.
- Get all the benefits of classroom training.
- Get access to course recordings up to 20 business days.
- Access to latest software for hands-on.
- Live interaction with trainers & trainees of different locations.
Live Web
Audio Requirements:
- You should have working speakers, so that you can listen properly.
- You should have working mics, so that you can interact with trainers.
- We recommend to have Headphones with mics.
Live Web
System Requirements:
- Internet Explorer 9, Mozilla Firefox 34, Google Chrome 39 (JavaScript enabled) or the latest version of each web browser.
- Windows 7, Windows 8 or later.
- Cable modem, DSL, or better Internet connection.
- Internet bandwidth 2 mbps(recommended).
- Dual-core 2.4GHz CPU or faster with 2GB of RAM (recommended).
For Fees & More Information
Call Us:
+91 9960935600
SAS Digital Badge
Share it. You’ve earned it.
Which course is suitable for you ?
Click below and take a quick survey, check which courses are suitable for you.
SAS Statistical Bussiness Analyst
This course is designed for SAS professionals who use SAS/STAT software to conduct and interpret complex statistical data analysis. It covers analysis of variance, linear and logistic regression, preparing inputs for predictive models, and measuring model performance. Suitable for Statisticians, researchers, and business analysts who use SAS programming to generate analyses using either continuous or categorical response (dependent) variables; as well as modelers and analysts who need to build predictive models, particularly models from the banking, financial services, direct marketing, insurance and telecommunications industries.
Learn How To:
Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression
- generate descriptive statistics and explore data with graphs
- perform analysis of variance and apply multiple comparison techniques
- perform linear regression and assess the assumptions
- use regression model selection techniques to aid in the choice of predictor variables in multiple regression
- use diagnostic statistics to assess statistical assumptions and identify potential outliers in multiple regression
- use chi-square statistics to detect associations among categorical variables
- fit a multiple logistic regression model.
Predictive Modeling Using Logistic Regression
- use logistic regression to model an individual’s behavior as a function of known inputs
- create effect plots and odds ratio plots using ODS Statistical Graphics
- handle missing data values
- tackle multicollinearity in your predictors
- assess model performance and compare models.
Prerequisites:
Course Outline:
- Prerequisite Basic Concepts
- Introduction to Statistics
- Tests and Analysis of Variance
- Linear Regression
- Linear Regression Diagnostics
- Categorical Data Analysis
- Predictive Modeling
- Fitting the Model
- Preparing the Input Variables
- Classifier Performance
The fees is inclusive of:
- Training & Digital Badge.
- Course material.
- 2 attempts of Global certification.
You are trying to stand out from crowd ? Stop telling, showcase your skills with SAS Digital Badge !
- Provide labor market insights that connect your new skills to jobs.
- Enable recruiters to view and verify candidates with certain SAS skills.
- It will answer, What you did? Who says you did it? and Why it matters? these questions for you.
