Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
---|---|---|
English | Self Study | Video and Text Based |
The primary objective of the course on Business analytics and data mining Modeling using R by Swayam is to help the student understand the basics of data mining techniques. So, that they can use the knowledge further in growing their business and achieve all the organizational goals. The students will be taught the use of R as er statistical computing CSS - MOOCs Proposed software in the twelve-week online course schedule.
The registered candidates will be learning to compare the various models on the basis of real data sets and also frame policies accordingly. With basic knowledge of statistics, all the students can apply for the programme. The course has been structured as an elective and the Business analytics and data mining Modeling using R certification syllabus contains a detailed module for providing the students with a comprehensive and detailed study guide. The data mining programme has been approved by the AICTE FDP course.
Fees Informations | Certificate Availability | Certificate Providing Authority |
---|---|---|
INR 1000 | yes | IIT Roorkee |
Particulars | Amount in INR |
Registration fee | Free |
Examination fee | Rs.1,000/- |
Education
For applying in the Business analytics and data mining Modeling using R training the students need to have basic knowledge in the subject of statistics.
Certification Qualification Details
To receive the Business analytics and data mining Modeling using R certification the students are required to apply for the final exam after enrolling for the examination. They have to sit for the exam from the designated examination centre. Participants must achieve 25% on an average in 8 out 10 assignments. They should secure 75% marks out of 100 in the final examination. Thus, for getting the certificate in Business analytics and data mining Modeling using R certification by IIT Roorkee, and the NPTEL programme the participants need to have an assignment score of >=10/25 and examination score of >=40/100.
In the Business analytics and data mining Modeling using R certification syllabus, the enrolled students will learn about the following elements-
Candidates having basic statistics knowledge want to learn data mining modelling using R and Business analytics to achieve business and organisational goals. Candidates who want to make their career ahead in the big data analytics field and want to become business analysts, data scientists, etc. can join the Business Analytics And Data Mining Modeling Using R certification course.
For admission in the Business Analytics And Data Mining Modeling Using R classes, candidates will have to follow the steps mentioned below:
For applying the Business analytics and data mining Modeling using R classes training course the students need to follow the given steps-
Step 1: The applicants have to provide the given URL for getting the form-
https://onlinecourses.nptel.ac.in/noc21_mg08/preview
Note- The programme is currently undergoing and hence there is no option for registration or enrollment currently available. For more details, the students can contact the management.
The Business analytics and data mining Modeling using R online course is of 12 weeks.
The instructors for the Business analytics and data mining Modeling using R certification online course are from the faculty of the Indian Institute of Technology Roorkee.
Candidates must have an in-depth understanding of Statistics in order to apply for this programme.
The industries supported by the institute are- Big Data companies, Analytics and Consultancy companies, Companies with Analytics Division.
No, the course fee for the Business analytics and data mining Modeling using R online course is not refundable.
The students will be receiving the certificate after they complete their course successfully by appearing for the examination.
The candidates are required to visit the official URL of the programme which is https://onlinecourses.nptel.ac.in/noc21_mg08/preview.
It is not compulsory for candidates to have any prior working experience for applying in this course.