PG Certificate in Digital Transformation & Business Analytics
The PG program embraces strategically ever-changing an individual approach toward Business, customers and competition. Classifying precious data to get-up-and-go your decision-making and executing groundbreaking and effective strategies. Maximum strength of participants come from an array of business sectors, ranging from banking and finance to IT services and products to consulting and so on…
If anything, COVID-19 has given a massive fillip to analytics in the healthcare sector. It is not that the healthcare sector was not using analytical tools earlier, just that use of analytics has become more pronounced after the emergence of this disease. A massive amount of data is being generated the World over on COVID-19 and such large data can only be analyzed through Machine Learning techniques. ML technology helps to understand numerous aspects of this malady.
The health sector has generally been generating a large amount of data. Today, many hospitals are computerized leading to massive volumes of patient data, sensor data coming out of electronic instruments, claims and cost data, inventory & drugs data, and HR data. Machine Learning and Deep Learning techniques offer a way to explore and make sense out of this data and make very useful predictions. Some questions that we try to answer pertaining to Clinical problems, Pharmaceutical and research challenges, Patient behavior or Insurance and Costs, and even related to HR data. Here is a list of some of the possible questions. The program is divided into five modules. Module-I introduces Healthcare and its multiple aspects. Module-II is regarding a host of digital technologies being used in this sector. Modules-III, IV, V, and VI relate to Analytics.
If anything, COVID-19 has given a massive fillip to analytics in the healthcare sector. It is not that the healthcare sector was not using analytical tools earlier, just that use of analytics has become more pronounced after the emergence of this disease. A massive amount of data is being generated the World over on COVID-19 and such large data can only be analyzed through Machine Learning techniques. ML technology helps to understand numerous aspects of this malady.
The health sector has generally been generating a large amount of data. Today, many hospitals are computerized leading to massive volumes of patient data, sensor data coming out of electronic instruments, claims and cost data, inventory & drugs data, and HR data. Machine Learning and Deep Learning techniques offer a way to explore and make sense out of this data and make very useful predictions. Some questions that we try to answer pertaining to Clinical problems, Pharmaceutical and research challenges, Patient behavior or Insurance and Costs, and even related to HR data. Here is a list of some of the possible questions. The program is divided into five modules. Module-I introduces Healthcare and its multiple aspects. Module-II is regarding a host of digital technologies being used in this sector. Modules-III, IV, V, and VI relate to Analytics.
Healthcare analysts are in demand. They’re paid well. ....Show More Plus, the role is hugely varied. As new technologies emerge, and consumer demand for control over personal well-being increases, it will be evermore important to understand how best to navigate the competitive landscape and how to scale your data to keep it relevant. The future of healthcare analytics will include even larger collections of data for healthcare organizations to navigate and manage. Show Less
Introduction to Health Care Management, Hospitals: Facilities Planning and Management, ....Show More Public Health in India, Healthcare Facilities, Challenges in Healthcare in India, Leadership in Healthcare, Strategic Planning in Healthcare, Managing Healthcare Operations, Managing Research in Healthcare, and Ethics in Healthcare, Healthcare Quality Analytics and Six Sigma, Digital Health & Technologies Show Less
Module VI is the culmination of purely Analytics part of this course. A project will be assigned and students will have to execute the project in a step-wise fashion. Students may execute the project alone or in small teams with a team leader. Teams have the benefit of trying many alternative strategies before zeroing on the most promising one. Students will also be free to take up a project from their organization.
TERM 1: UNDERSTANDING HEALTHCARE MANAGEMENT
TERM 2: DIGITAL HEALTH & TECHNOLOGIES
TERM 3: DATA VISUALIZATION AND STATISTICAL ANALYSIS
TERM 4: MACHINE LEARNING
TERM 5: DEEP LEARNING AND NATURAL LANGUAGE PROCESSING
TERM 6: CAPSTONE PROJECT
Online ApplicationsPh.D. IIT-BHU (Supply Chain Management), IMNU-Ahmedabad
Prof. Mishra has more than 13 years of experience in industries like Manufacturing, Financial Services, Software, and IT and has worked with reputed companies like FIITJEE Edusoft, Religare, Rosenthal India, and Jindal ISPAT. He has also worked as a founding team member for start-ups in healthcare, pharmaceuticals, and IT.
IIT Delhi, M.Phil (Social Sciences), MA (Economics); Diploma in Project Management
Expert in implementing Hottonworks and Cloudera based multi layered big-data systems. Extensively taught faculty and students on the subject of big data technology and analytics. Participated in various machine learning competitions with real world data in areas of business, environment, marketing and advertisement.
BDS, MDS, PG Data Science, Six Sigma Black Belt Healthcare Data Scientist
I love to explore data, cross-check insights from statistical, domain and analytical perspective. I love to visualize data in a way that allows true assessment of the problem and aids in direct execution. I have strong analytical thinking and communication skills that allow me to dissect and steer client meetings with poise and gravitas
INR 77,000 (+ GST)
Enrollment Fee – INR 25,666 (+ GST )
Instalment 1 Fee – INR 25,666 (+ GST)
Instalment 2 Fee – INR 25,666 (+ GST)
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