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.
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
- Use programming approach for data preparation, manipulation & analysis purpose
Pattern Recognition and Banking Segmentation
- 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
- Learn the techniques of data exploration, analysis and presentation for manufacturing industry