In-demand skills & tools 1000+ free courses Free life time Access Great Learning Free Courses Data Science Earn a certificate & get recognized Case Studies from Healthcare Industry Instructor: Sunil Kumar Vuppala 4.35 Ratings Beginner Level 1.5 Hrs Learning hours 20.8K+ Learners Enroll free with email Skills you will learn Healthcare analytics About this Course It is now possible to significantly optimize traditional business processes such as hiring, marketing, pricing, etc. using digital technologies. Data Science has become an integral part of this digital transformation, and these business decisions are made by analyzing large amounts of data. In this course, you will be exposed to some of the commonly used data science techniques and their applications in the healthcare industry. Why upskill with us? 1000+ free courses In-demand skills & tools Free life time Access Course Outline Analytics Landscape in Healthcare View More Case Studies from Healthcare Industry 4.35 Ratings 1.5 Hrs Learning hours Beginner Level 20.8K+ Learners Enroll free with email Trusted by 10 Million+ Learners globally 4.8 4.89 4.94 4.7 Learner reviews of the Free Courses 4.35 ★★★★ ★ ☆ ★★★★★ 66% ★★★★ ☆ 21% ★★★ ☆☆ 7% ★★ ☆☆☆ 1% ★ ☆☆☆☆ 5% Our course instructor Sunil Kumar Vuppala Director-Data Science Data Science Expert 221.6K+ Learners 4 Courses Sunil Kumar Vuppala, an alumnus of IIT Roorkee and IIM Ahmedabad, is a distinguished AI and data science leader with over 20 years of combined industrial and research experience. As the Director of Data Science at Ericsson, he specializes in machine learning, deep learning, and advanced analytics, driving innovation and digital transformation across various domains. Sunil has a proven track record of leading cross-functional teams to deliver impactful AI solutions, leveraging data-driven approaches to solve complex business challenges and enhance operational efficiency. Read More Become a Skilled Professional with Pro Courses Gain work-ready skills with guided projects, top faculty and AI tools, all at an affordable price. 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