Predictive Business Analyst

Duration: 128 Hours Classroom Training

Course Introduction:

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?”

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.

Prerequisites: Flair of any programming language is preferred however not necessary. Candidates with Engineering/MBA/MCA /Science/ Statistics degree or Analytics experience preferred.

Course Modules

Base SAS® Programmer Certification 

It is the entry point to learning SAS programming and is a prerequisite to many other SAS courses

SAS® Predictive Modeling
 

Covers a range of statistical topics. Emphasis will be placed on the interpretation of the results.

SAS® Visual Business Analyst

This course teaches how to explore data, build reports & queries using SAS Visual Analytics.


Predictive Business Analyst

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

Preparing Data & Manipulation Techniques


Industry: Retail

  • Use programming approach for data preparation, manipulation & analysis purpose

     

Pattern Recognition and Banking Segmentation


Industry: BFSI

  • Use un-supervised machine learning to establish banking segments based on the real banking data to establish segments for further analytics

Creating Analysis and Reports


Industry: Manufacturing

  • Learn the techniques of data exploration, analysis and presentation for manufacturing industry


Earn SAS Verified Digital Badges

Digital badges can be used in email signatures or digital résumés, and on social media sites such as LinkedIn, Facebook and Twitter. This digital image contains verified metadata that describes your qualifications and the process required to earn them.

  • Web-enabled version of your credential that can be shared online
  • Labor market insights that connect your skills to jobs
  • Trusted method for real-time credential verification.

"In any business, predictive analytics helps to learn the entire customer life-cycle journey and unearth important information about them"

- The Economic Times

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