DATA SCIENCE ON SAS BY ORANGETREEGLOBAL
Data ScienceComputer Training
Regular Offline and Online Live Training
Week Days and Week Ends
30 to 45 days
•An overview about Data Science concepts.
•Explore how to use existing features in Data Science .Learn how to integrate and customize Data Science code.
•How to handle Data Science script and code in apps.
•Learn or brush up with the basics of Data Science
•You can learn Data Science to code like a pro!
•You will Learn How to Create and Use Model in Data Science .
•Create Apps using Data Science From Scratch and scale it up to any level
•Learn Data Science Complete Course with Professionals from Scratch and Become a Pro in Data Science
•Career guidance providing by It Expert
•Free technical support for students
•Flexible batch timings – Weekend & weekdays.
•Immersive hands-on training on Python Programming
•Indutry oriented training with corporate casestudies
•Access to a huge closet containing information about Hadoop
•Every class will be followed by practical assignments which aggregates to minimum 60 hours.
•We do Schedule the sessions based upon your comfort by our Highly Qualified Trainers and Real time Experts
•Angularjs, Core Java, .Net, Ui Development, Ssis, Ssrs, Mobility Architect, Java Architect, Devops, Android Developer, Ios Developer
•Iot, Embedded Systems, Bluetooth Low Energy, Bluetooth, Web Designing, Responsive Web Design, Visual Web Developer, Aws, Cloud Computing, Algorithm
•Java/j2ee, Microsoft, Erp, Cloud, Qa/testing, Automation Testing, Analytics, Machine Learning, Artificial Intelligence, Agile Project Management, Mobility
•SAP CRM, SAP BI/BW, SAP FICO, .NET/MVC, JAVA/Spring, Mobile Apps Developer, IOS Developer, ETL Testing, VSTS Testing, Oracle ERP Support, Peoplesoft
•Software Development, Big Data, Hadoop, Spark, Hive, Oozie, Big Data Analytics, Java, Python, R, Cloud, Data Quality, Scala, Nosql, Sql Database, Core Java
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