Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
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English | Self Study, Virtual Classroom, Campus Based/Physical Classroom | Video and Text Based |
Predictive Modeling in Analytics Using R is an exclusive launch by the Indian Institute of Management, Ranchi which helps to provide a deeper conceptual understanding of developing relationships between the outcome, and predictor variable in business models.
Predictive Modeling in Analytics Using the R certification syllabus teaches about regression modes that can be used for output prediction in business. The syllabus will also include classification models that are used for the determination of individual observations. Students can use the concept of predictive analytics in different operation areas like Marketing, Economics, Science, and even Business Analytics.
Predictive Modeling in Analytics Using R training can add fuel to the discussion, and hands-on sessions that provide model-building insights and also decision making related to a manager of an organization so that it can be made into a practical application. Not only this but many unknown concepts like predictive modelling, Data Mining, and even Machine Learning.
Certificate Availability |
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no |
The Predictive Modeling in Analytics Using R certification fee is Rs. 35,400 along with charges of GST for in-campus mode non-residential students, and Rs. 27,000 with 18% GST if the students try and use some digital modes of payment.
Predictive Modeling in Analytics Using R Fee Structure
Description | Amount in INR |
For non-residential-In campus | Rs. 35,400 + GST |
For Online Mode | Rs. 27,000 + GST |
Here’s what all the candidates will get to through the completion of this programme:
Professors Sasadhar Bera and Amit Sachan are the directors of this programme.
Yes 18% charges are levied on the programme fee when it is deposited
Age is not a bar for the participants of this programme.
Placement services are not allotted for the students of this programme.
There is no such information available related to group discounts.