SAS Predictive Business Analyst brings in the capability to support the business and management with clear and insightful analyses on the data at hand. This includes data mining skills, advanced modelling techniques and business visualization 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?”
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.
Who should attend:
- Aspirants who want to become Business analysts /experts, Business Visualization Analysts or experts and build a strong SAS programming foundation to manipulate data, perform queries and analyses, and generate analytical insights.
- Additionally, wants to access the power of SAS for analysis for complex business problems through data mining and predictive modelling using the point-and-click interface.
Case Studies in the Curriculum:
- Learn the application of machine learning through a comprehensive set of case studies designed by international industry experts in fields such as BFSI, Retail, E-Commerce, Cyber-crime and much more
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
Prerequisites:
- Flair of any programming language is preferred however not necessary.
- Candidates with Engineering/MBA/MCA /Science/ Statistics degree or Analytics experience preferred.
The fee is inclusive of
- Fee: ₹1,47,000+GST | Duration: 120 Hours
- Training & Digital Badge
- Course material
- 2 attempts of Global certification
- Duration: 120 Hours of Training
The SAS Global Certification Program allows you to validate your SAS software skills and earn the globally-recognised credential endorsed by SAS.
Earn a Digital Badge
Stand out from your peers. You’ve earned it.
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