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Data Science On SAS By OrangeTreeGlobal




Data ScienceOnline Certification


Graduates and Technology Aspirants


Regular Offline and Online Live Training


Week Days and Week Ends

Duration :

Fast Track and Regular 60 Days

Data Science Objectives

•Learn how to work with Data Science .
•Learn Data Science proficiently in a structured fashion.
•A Beginner’s Guide to Data Science Coding from scratch
•Eliminate duplicate code and consolidate script files using Data Science .
•Learn or brush up with the basics of Data Science
•What is Data Science and How to Build apps using Data Science .
•You will Learn How to Create and Use Model in Data Science .
•Understand Data Science and how to use it to write styles programmatically in Data Science .
•Learn to build applications on the most flexible enterprise platform for Distributed applications.

Data Science on SAS by OrangeTreeGlobal Training Features

•We are Known for High-Quality Training
•Course delivery through industry experts
•Job Placement Assistance with Good Companies
•The courses range from basic to advanced level
•Assignments and test to ensure concept absorption.
•Repeating of lectures allowed (based on seat availability)
•We provide one to one mentorship for the students and Working Professionals
•We do Schedule the sessions based upon your comfort by our Highly Qualified Trainers and Real time Experts

Who are eligible for Data Science

•Cms, Ecm, Documentum, Java, J2ee, Sap, Ui Development, Software Testing, Project Management, Cloud Computing, Oracle, Oracle E-business Suite, Bpm, Wcm
•Embedded Technologies, Semiconductor Technologies, Web Services, Database Services, Cloud Computing, Industrial Automation, Ecommerce, Datbase Architect
•java, .net, php, Software Testing, Automation Testing, oracle, sap, msbi, tableau, networking, Linux Administration, storage, full stack developer, devops
•PHP, OpenCart Developer, Magento Developer, Html, Javascript, Jquery, Css, Photoshop, html, css, bootstrap, javascript, jquery, Business Development
•Storage Domain Professionals, SAN, NAS, Devops Engineer, Developer – Storage Domain, File System, Storage Domain, RAID, CIFS, NFS, Linux, Kernel Programming


The following topics will be covered as part of this series. Each topic is described in detail with hands-on exercises done on SAS Studio to help students learn with ease. We will cover all the nitty-gritty that you need to know to get started with SAS along with the correction and handling of errors as and when they pop-up. The program builds a solid foundation by covering the most popular and widely used data science technologies and its applications. The topics that are covered in this tutorial are as follows: Introduction to Analytics Understanding Probability and Probability Distributions Introduction to Sampling Theory and Estimation Introduction to Segmentation Techniques: Factor Analysis in SAS Introduction to Segmentation Techniques: Cluster Analysis in SAS Correlation and Linear Regression in SAS Introduction to categorical data analysis and Logistic Regression in SAS Introduction to Time Series Analysis in SAS Statistical Significance T Test Chi Square Tests and Analysis of Variance in SAS

Eligiblity for Certification :

This course is highly recommended for Students, Working Professionals, Business Analysts, Consultants, Businessmen, Teachers, Lecturers, Professors and Data Science enthusiasts. The course is best for individuals who are in the field of Business Analytics or is eager to join the same Also individuals who has prior experience in SAS but eager to learn how to apply Data Analysis techniques using SAS