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The full-time executive program at IIM Udaipur launched in 2019 had a fees of ₹ 15.8 lakh (US$19,000) while the data analytics program was ₹ 21 lakh (US$25,000). [83] The same year IIM Lucknow's 6-month data analytics program costs ₹ 2.49 lakh (US$3,000) while its analytics program for finance professionals costed ₹ 1.43 lakh (US$1,700 ...
The M.S. in QM and Analytics is designed to prepare students to pursue a variety of QM and/or Analytics careers such as Quality Manager, Quality Analyst, Data Analyst, Business Analyst, Quality Consultant, and Quality Systems specialist, or to pursue doctoral-level graduate studies in preparation for research and instructional roles in quality ...
All the courses offered by SWAYAM are recognized by the government of India. All the courses are valid in the country. UGC announced a “Credit Framework for Online Learning Courses through SWAYAM” Regulations where credit transfer was defined. The UGC regulation requires Universities to make changes in their rules to incorporate provisions ...
Data analysis focuses on extracting insights and drawing conclusions from structured data, while data science involves a more comprehensive approach that combines statistical analysis, computational methods, and machine learning to extract insights, build predictive models, and drive data-driven decision-making. Both fields use data to ...
Students from the OBC, ST, SC categories, female students as well as physically challenged students are also entitled to scholarships. [ 60 ] [ 61 ] The various IITs function autonomously, and their special status as Institutes of National Importance facilitates the smooth running of IITs, virtually free from both regional as well as student ...
The objective of this project is to help job-seekers land up at the job they deserve. Under this scheme, an online job-portal named as National Career Service portal has been launched which acts as a common platform for job-seekers, employers, skill providers, government departments, placement organisations and counsellors. [85] [86]
The difficulty in ensuring data quality is integrating and reconciling data across different systems, and then deciding what subsets of data to make available. [3] Previously, analytics was considered a type of after-the-fact method of forecasting consumer behavior by examining the number of units sold in the last quarter or the last year. This ...
The data is necessary as inputs to the analysis, which is specified based upon the requirements of those directing the analytics (or customers, who will use the finished product of the analysis). [ 14 ] [ 15 ] The general type of entity upon which the data will be collected is referred to as an experimental unit (e.g., a person or population of ...
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