FORE School Of Management Launches An Online Certificate Programme In Healthcare Analytics
The last date of registration for the course is 25th April 2021.
The FORE School of Management announced the launch of an online certificate programme in Healthcare Analytics that commences from April 2021. It is a completely hands-on interactive online programme on Machine Learning (ML) and Artificial Intelligence (AI). The last date of registration for the course is 25th April 2021.
The programme divided into 5 modules aims at bringing a change to the career either by adding more value to the existing avocation or progressing to a different Profile or Industry. The programme duration will continue for 7 months. It will have sessions from both PhD Holders from IITs and Medical Doctors, having hands-on experience. Extensive case-studies will be undertaken from real-world data (of patients). The programme will hold a very unique programme feature including workshops besides regular classes. These workshops are led by participants and their ideas. This programme will witness an extensive range of technologies covered. Trainers are garnered with the experience of over 2000 hrs of teaching Analytics.
The Programme Directors Prof Ashok Kumar Harnal and Prof Vinaytosh Mishra says, “We are truly honoured and delighted to launch such a unique programme. This programme is extremely beneficial for a multitude of professions. It includes Data Scientists or Researchers in the Pharmaceutical Industry, Doctors, Academicians or Healthcare professionals. It would be very useful for Bio-technologists, Bio-informatics students and students enrolled in B. Pharma as well. Students enrolled in MBBS, BDS, BHMS, BAMS and Life-Sciences-Biology, Biotechnology, Biochemistry, Bioinformatics, Cell biology (cytology), Ecology, Molecular biology, Microbiology, Marine Sciences too will find the programme very useful. Besides, Consultants, Senior Managers, Business Heads, CXOs alongside Management & Engineering Professionals who wish to take up health-analytics as a profession must enroll in this programme”.
The course will focus on introducing Machine Learning, Data Visualization, handling imbalanced data - SMOTE, ADASYN & other methods, Dimensionality Reduction, Supervised learning Techniques for classification, and hyperparameter optimisation techniques and interpreting machine-learning models. Under Deep Learning Technologies, the course will introduce neural networks, Deep learning with convolution neural networks, recurrent neural networks, natural language processing, experimenting with the tensor board, and many more. The Capstone Project in module 5 is the culmination of the purely Analytics part of this course. In this module, students will execute the project assigned to them in a stepwise fashion. Students may execute the project either alone or in small teams with a team leader. Students will also be free to take up a project from their organization. The capstone project begins early, while Deep Learning classes are in progress and runs in parallel to the teaching schedule. Further information can be obtained from email@example.com.
The notable programme faculties include Prof. Vinaytosh Mishra, Prof. Ashok Kumar Harnal and Medical Doctors from Healthcare Analytics Domain. Prof. Vinaytosh Mishra has 10+ years of experience in multiple industries like Software and IT, Financial Services, Manufacturing etc. He has worked with renowned companies including Jindal ISPAT, Rosenthal India, FIITJEE Edusoft, etc. He has also served as a founding team member for start-ups in healthcare, pharmaceuticals and IT. Prof. Ashok Kumar Harnal is a Graduate from IIT Delhi in Electronics and Communication. He is an expert in Big Data, Data Analytics and Deep Learning, from both the Technology and Analytics side.
Around The World