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  • Certified Business Analytics Specialist (CBAS)
  • Certified Blockchain Specialist (CBS)
  • Certified Data Analytics (R) Specialist (CDAS)
  • Certified Machine Learning Specialist (CMLS)

Participants will actively step through the industry standard process for data mining and realize why an advanced degree in statistics, mathematics or computer science is no longer needed to implement predictive analytics. Live working sessions reveal real-world obstacles and breakthroughs from which to interpret, learn and apply.

As part of the course, participant will be given a case study and it would cover all the aspects of the Business Analytics, right from making a Data/Information Architecture for the case study to the cycle of CRISP-DM and finally converting all the requirements into predictive models using Rapid Miner tool.


This course will also highlight some of the latest tools and techniques for implementing an application using Blockchain Technology. Participants will get a good understanding of the entire Blockchain concepts with hands on experience in using Hyperledger Fabric. Participants will also learn how Blockchain can be leveraged in organizational context through a series of real use cases. This course will also introduce the concepts of Hashgraph.


This course is designed for professionals who aspire to learn an open-source R tool for Analytics. Certified R Analytics Specialist covers the concept of Business Analytics and its strategic importance to any organization. You will understand how cutting-edge businesses use data to optimize marketing, maximize revenue, make operations efficient, and make hiring and management decisions so that you can apply these strategies to your own company or business. Participants will learn how to address business needs through the use of analytics, how some organizations have done it and what has been done to achieve them. Conducted interactively with case studies and real business problems, participants can also expect to learn the basic principles, concepts, techniques, and tools used in business analytics. Also, covers different types of business analytics with real life use cases including descriptive analytics and predictive analytics.


This specialist course on Machine Learning provides an overview of concepts, techniques, and algorithms. It covers topics such as classification and linear regression to more advanced topics such as boosting, ensemble methods, Support Vector Machines (SVM), Hidden Markov Model and Bayesian Networks

This course will introduce professionals to open-source Machine Learning tools such as RapidMiner, WEKA, Jupyter notebook using packages like scikit-learn. Professionals attending the course will learn the different algorithms in some of most widely adopted Machine Learning methods such as Supervised Learning, Unsupervised Learning and Reinforcement Learning. Please refer to the attached course outline for detailed information of the course.