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Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]
The case study method is a key component of the academic program at IBS, which is one of the few institutions in India that has made case studies a critical component of its curriculum. Almost all the courses at IBS are taught 100% through case studies - the case studies being tailor-made to the requirements of different subject areas and topics.
CFI also offers the Commercial Banking and Credit Analyst (CBCA) certification which is designed for the credit analysts who are working in different banks, credit rating agency or insurance. The program includes 17 optional prerequisites to review the fundamentals and 15 core courses to build a foundation in credit analysis.
Data analysis focuses on the process of examining past data through business understanding, data understanding, data preparation, modeling and evaluation, and deployment. [8] It is a subset of data analytics, which takes multiple data analysis processes to focus on why an event happened and what may happen in the future based on the previous data.
It was started on 6 March 1965 by a few computer professionals and has now grown to be the national body representing computer professionals. It has 72 chapters across India, 511 student branches, and 100,000 members. [2] The Computer Society of India is a non-profit professional meet to exchange views and information to learn and share ideas.
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.
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Waikato Environment for Knowledge Analysis (Weka) is a collection of machine learning and data analysis free software licensed under the GNU General Public License. It was developed at the University of Waikato , New Zealand and is the companion software to the book "Data Mining: Practical Machine Learning Tools and Techniques".
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