DATA SCIENCE ON SAS BY ORANGETREEGLOBAL
Data ScienceOnline Courses
Graduates and Technology Aspirants
Both Classroom and Online Classes
Week Days and Week Ends
Daily 2 hrs during Weekdays
•How To resolve errors in Data Science .
•Master Data Science concepts from the ground up
•Implement Data Science in your apps and integrate it.
•How to handle Data Science script and code in apps.
•The Concepts Of Data Science Language From Basic To advance
•Learn how to get a Job as a Data Science developer .
•Learn the Ins and Outs of Data Science in few Hours
•How to setup a Data Science script and Interface in real time development.
•Get to know tips and tricks to work more quickly and effectively in Data Science .
•Advanced Topics covered with examples
•Course delivery through industry experts
•Accessibility of adequate training resources
•We enage Experienced trainers for Quality Training
•Assignments and test to ensure concept absorption.
•Courseware that is curated to meet the global requirements
•Our trainers have experience in training End Users & Students & Corporate employees.
•The course is all about familiarizing the trainees with simpler and smarter ways to develop the skills required for Implementation.
•CNC Engineer, Software Developer, Testing Engineer, Implementation, Core Java, Struts, hibernate, Asp.net, c#, SQL Server, CNC Programming, backHR, HR Manager, Human Resource Manager, HR Generalist, Cognos, BI Developer, OBIEE, Tableau, qlikview, Data Modeling, Dimensional Modeling, Asp.net
•Java Developer, Quality Assurance, Core Java, Spring Mvc, Spring Boot, hibernate, jpa, Web Services, json, maven, angularjs, mysql, Sql Server, Tomcat, Uml
•SAP CRM, SAP BI/BW, SAP FICO, .NET/MVC, JAVA/Spring, Mobile Apps Developer, IOS Developer, ETL Testing, VSTS Testing, Oracle ERP Support, Peoplesoft
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