This course covers a scope of early on factual points and uses SAS programming to do investigation. Accentuation will be set on the elucidation of the outcomes. It covers the aptitudes required to collect examination stream graphs utilizing the rich apparatus set of SAS Enterprise Miner for both example revelation (division, affiliation, and arrangement investigations) and prescient demonstrating (choice tree, relapse, and neural system models). Prepared to-utilize methodology handle an extensive variety of factual strategies including straightforward clear measurements, information representation, investigation of difference, relapse, all out information examination, multivariate examination, bunch investigation and non-parametric investigation are a piece of this program
Statisticians and business analysts who want to use a point-and-click interface to SAS;
As well as data analysts
Qualitative experts
And others who want an introduction to SAS Enterprise Mine
generate descriptive statistics and explore data with graphs
perform analysis of variance
perform linear regression and assess the assumptions
use diagnostic statistics to identify potential outliers in multiple regression
use chi-square statistics to detect associations among categorical variables
fit a multiple logistic regression model
define a SAS Enterprise Miner project and explore data graphically
modify data for better analysis results
It is preferable to possess a basic understanding of fundamentals of SAS basic course.
Accessing and Assaying Prepared Data Introduction to Predictive Modelling with Decision Trees Introduction to Predictive Modelling with Regressions Introduction to Predictive Modelling with Neural Networks and Other Modelling Tools Model Assessment Model Implementation Introduction to Pattern Discovery Special Topics (Self-Study), Case Studies (Self-Study)
Introduction to Statistics Inferences for the Mean Analysis of Variance Regression and Regression Diagnostics Categorical Data Analysis
Navigate the SAS windowing environment Read various types of data into SAS data sets, Validate and clean SAS data sets Create SAS variables and subset data, Combine SAS data sets Create and enhance listing and summary reports Control SAS data set input and output, Combine SAS data sets Summarize, read and write different types of data Perform DO loop and SAS array processing Transform character numeric and data variables
Use several of the business user applications in the platform for SAS Business Analytics Create and Exploit dynamic value selection Bulid advanced information maps using SAS information Map Studio Create advanced SAS BI Dashboard applications Produce advanced stored processes able to create dynamic data sources Bulid schedule and distribute advanced reports Consolidate information into a business reporting application Describe the online analytical processing capabilities available in the SAS platform Explore the basic functionality of the SAS integration with JMP Examine the types of metadata created in the SAS platform
Register source data and target tables Create jobs and explore the functionality of the job editor Work with many of the various transformations Enhance table relationships using integrity constraints keys and indexes Work with slowly changing dimensions Create custom transformation with the Transformation Generation Wizard Document and deploy jobs Administer SAS Data Integration Studio
Reviewing the Platform for SAS Business Analytics Exploring the platform for SAS Business Analytics overview exploring the client tier, middle tier, server tier and data tier
Overview of administration tasks Checking the state of SAS servers Exploring the metadata server and repositories Troubleshooting the metadata server
Identifying different types of SAS servers Monitoring, Logging SAS servers and spawners Troubleshooting SAS servers
Backing up metadata with the Backup Wizard Exploring OMABAKUP Scheduling backups Backing up physical files
Exploring connection profiles Using roles to control access to application Functionality Exploring SAS folders
Defining regular users and groups Defining administrative users Giving users access to servers Registering libraries Tables in the metadata Updating table metadata Pre-assigning libraries Troubleshooting data access
Introduction to metadata security Exploring metadata permission and predefined ACTs Securing content in the folder tree and outside the folder tree Creating additional ACTs Replicating an entire repository Promoting selected content
Applying hot fixes to the SAS environment
Our trainers are Highly experienced in SAS Predictive Modelling implementing real-time solutions on different Scenarios and Expert in their professionals.
We record each LIVE class session you undergo through this training and we will share the recordings of each session/class.
Trainer will Provide Detailed installation of required software through LMS to the students we support by providing Training and practical in real time experience with all utilities required for completely understanding of this Training.
Yes, there are some group discount are available only if group contain more than 2 Or more participates.
Basic Hard ware requirement is useful to install the Product
We provide Training in a Real Time Projects Oriented
Yes we will Schedule a Demo Session as per the student convenient by sharing LIVE Online Streaming access either through GoToMeeting or WebEx.
If you are enrolled in classes and you have paid fees, but want to cancel the registration for certain reason, it can be done within 48 hours of initial registration. Please make a note that refunds will be processed within 15 days of prior request
As we are one of the Best SAS Predictive Modelling Online Training Provider we have customer throughout the world wide specially from UK, USA, UAE, Australia, Qatar, Singapore, New Zealand, India, Malaysia, Dubai, Doha, Melbourne, Brisbane, Perth, Wellington, Auckland Middle East Countries and other parts of the world
We have customers from USA. Providing SAS Predictive Modelling online training in, New York, Los Angeles, Chicago, Houston, Philadelphia, Phoenix, San Antonio, San Diego, Dallas, San Jose, Jacksonville, Austin, San Francisco, Indianapolis Columbus, Fort Worth, Charlotte, Seattle, Denver, El Paso, Detroit, Washington, Boston, Memphis, Nashville, Portland, Oklahoma City, Las Vegas, Baltimore, Louisville, Milwaukee, Albuquerque, Tucson, Fresno, Sacramento, Kansas City, Long Beach, Mesa, Atlanta, Colorado, Springs, Virginia Beach, Raleigh, Omaha, Miami, Oakland, Minneapolis, Tulsa, Wichita, New Orleans, Arlington.
we also have customers from UK, and also providing SAS Predictive Modelling training in London, Manchester, Birmingham, Edinburgh, Glasgow, Liverpool.
In India we have customer from Bangalore, Mysore, Hyderabad (Ameerpet), Visage, Chennai, Kolkata, Pune, Mumbai, Delhi, Jaipur, Ahmadabad, Kerala etc…
You can clarify your queries by dialing +91 - 82 9696 0414, +1 (646) 586 - 2969 Or you can send a mail to info@gologica.com. We are ready to clear your enquiries at any time
At the end of this course, you will receive a course completion certificate which certifies that you have successfully completed GoLogica training in SAS Predictive Modeling technology.
You will get certified in SAS Predictive Modeling by clearing the online examination with a minimum score of 70%.
To help you prepare for a certification exam, we shall provide you a simulation exam and a practice exam.
Ramachandhra
SAS Predictive modelling helped me completing my projects and I development my skills and its worth spending time for this course.
Rodrigues
Thanks to GoLogica for helping me complete this course with ease and help to build my career.
Divya
Good course but lack of materials and improvement for trainer will help to understand it easily and would be more interesting.
Rajesh
Worth spending my leisure to learn this course and now am happy that it helped to boost my pay-scale. Thanks gologica.
Vishnu
Accommodations not enough. Much more videos related to the course needed.
Joseph
This is a fantastic course it was a wonderful experience with the lectures. It was a little hard to learn at first but then after contacting the teachers a few times to clarify my doubts it was a very easy thanks to the wonderful staff.
Course Duration - 30 hrs
Hours - 1hr/day
Training Mode - Online
Course Duration - 8 Weekends
Hours - 2hr/Day
Training Mode - Online
Course Duration - 15 Days
Hours - 2hr/Day
Training Mode - Online