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 Visual Business Analytics with Machine Learning

SAS Visual Business Analytics with Machine Learning help people see things that were not obvious to them before. Even when data volumes are very large, patterns can be spotted quickly and easily. This includes data mining skills, advanced modelling techniques, business visualizations which conveys information in a universal manner and make it simple to share ideas with others. It lets people ask others, “Do you see what I see?” And it can even answer questions like “What would happen if we made an adjustment to that area?”

Who should attend?

Aspirants who want to become Business Data Visualization analysts /experts and build a strong SAS programming foundation to manipulate data, perform queries and analyses, and generate reports.
Additionally, wants to access the power of SAS for analysis and report generation on data using the point-and-click interface.

Course Outline:

SAS Programming 1: Essentials

Navigate the SAS windowing environment.
Navigate the SAS Enterprise Guide programming environment.
Read various types of data into SAS data sets.
Create SAS variables and subset data.
Combine SAS data sets.
Create and enhance listing and summary reports.
Validate SAS data sets.

SAS Programming 2: Data Manipulation Techniques

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 date variables.

SAS Macro Language 1: Essentials

Perform text substitution in SAS code
Automate and customize the production of SAS code
Conditionally or iteratively construct SAS code
Use macro variables and macro functions.

SAS SQL 1: Essentials

Query and subset data
Summarize and present data
Combine tables, including complex joins and merges
Create and modify table views and indexes

SAS Programming 3: Advanced Techniques and Efficiencies

Benchmark computer resource usage
Control memory, i/o, and cpu resources
Create and use indexes
Combine data horizontally
Use hash and hiter data step component objects and arrays as lookup tables
Compress sas data sets
Sample your sas data sets
Create and use sas data views
Safely reduce the length of numeric variables
Create user-defined functions and informats.

SAS Enterprise Guide: ANOVA, Regression, and Logistic Regression

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.

Applied Analytics Using SAS Enterprise Miner

Define a SAS Enterprise Miner project and explore data graphically
Modify data for better analysis results
Build and understand predictive models such as decision trees and regression models
Compare and explain complex models
Generate and use score code
Apply association and sequence discovery to transaction data.

SAS Visual Analytics

Getting Started with SAS Visual Analytics
Administering the Environment and Managing Data
Using SAS Visual Analytics Explorer
Designing Reports with SAS Visual Analytics
Using SAS Visual Analytics Custom Graph Builder

The fees is inclusive of:

Training & Digital Badge.
Course material.
2 attempts of Global certification.

Download Course Curriculum

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.