What you'll learn
Understand basic concepts of Big Data and Data Science Life Cycle
Relate Big data , Data science and Statistics
Get basic understanding of Big Data Architecture and Modeling
Understand how businesses apply Big Data capabilities for achieving goals.
Understand application of Data science in health management with particular reference to pandemic COVID 19
Assess impact of Big Data and Data Science on Big Businesses through case studies.

Requirements
No programming is required. This course will help students of Management programs and practicing Managers to get new insights.

Description
In recent years, analytics has become increasingly important in the world of business, particularly as organizations have access to more and more data. Managers today no longer make decisions based on pure judgment and experience; they rely on factual data and the ability to manipulate and analyze data to support their decisions. No matter what your academic business concentration is, you will most likely be a future user of analytics to some extent and work with analytics professionals. Business analytics, or simply analytics, is the use of data, information technology, statistical analysis, quantitative methods, and mathematical or computer-based models to help managers gain improved insight into their business operations and make better, fact-based decisions. Business analytics is “a process of transforming data into actions through analysis and insights in the context of organizational decision-making and problem-solving.” Business analytics is supported by various tools, such as Microsoft Excel, commercial statistical software packages such as SAS or Minitab, and more complex business intelligence suites that integrate data with analytical software. The purpose of this course is to provide you with a basic introduction to the concepts, methods, and models used in big data analytics for business intelligence so that you will develop not only an appreciation for its capabilities to support and enhance business decisions but also the ability to use business analytics at an elementary level in your work. The course is spread over eight modules, and each module carries a quiz to reinforce the learning experience.