Applied Data Mining with Business Applications
Explore the aspects of data mining by pursuing the Applied Data Mining with Business Applications course by IIM Ranchi.
Part time, Online
3 Days
27,300 INR Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study, Virtual Classroom, Campus Based/Physical Classroom | Video and Text Based |
Course Overview
The Applied Data Mining with Business Applications course is open to all interested participants. Candidates who get enrolled in the course will be able to learn about data mining roles, usage of new software tools, the relationship between two variables, the role of data mining, etc. The course does not limit the students with any prerequisites or time limitations.
Candidates can complete the Applied Data Mining with Business Applications course syllabus within 3 days and can take as much time as they require according to their schedules. The self-paced learning environment helps the candidate in learning from the contents to the fullest.
The Highlights
- 3 days course
- Offered by IIM, Ranchi
- Online/offline learning
Programme Offerings
- Exercises
- Case Studies
- Lectures
Courses and Certificate Fees
| Certificate Availability |
|---|
| no |
- Candidates can pay Rs. 27,300 plus GST as the Applied Data Mining with Business Applications fees for on-campus sessions.
- Candidates who want to join online classes can pay Rs. 21,000 plus GST.
Applied Data Mining with Business Applications fees details
Heads | Amount in INR |
Course fee (online) | Rs. 21,000 +GST |
Course fee (offline) | Rs. 27,300 +GST |
What you will learn
After the completion of the Applied Data Mining with Business Applications programme, students will be able to learn the following key concepts-
- Candidates will learn about the different data mining methods used in business.
- Participants will learn about the multiple decision models.
- Candidates will be able to identify the best working model using the comparison methods.
- Students will learn the usage of R software in the Applied Data Mining with Business Applications course.
- Candidates will be able to identify the relationship between two variables.
- Participants will learn about the non-linear methods of classification as well as their applications.
- Candidates will learn about the data mining applications in the field of insurance.
- Students will gain an understanding of the Naive Bayes method and its classification.
- Candidates will learn about upsell models and cross-sell models in the Applied Data Mining with Business Applications training.
- Participants will learn how to detect fraud in health insurance.
Who it is for
The Applied Data Mining with Business Applications by IIM, Ranchi is perfect for the following people-
Candidates who want to apply for jobs can pursue the course.
The Syllabus
- Measuring the relationship between variables
- Multivariate distance and outliers detection
- Product affinity and market basket analysis
- Cross-sell and up-sell models and their applications
- R code illustration with real-life data set
- Primary structure of the recommender system
- Computing similarity and predicting preference rating
- R code illustration for collaborative filtering with large rating data
- Content-based and hybrid recommender systems
- Collaborative filtering approaches
- Naïve Bayes method and classification
- Real-life applications of Naïve Bayes and KNN method with R code
- K nearest neighbor classification method
- Role of data mining in the insurance domain
- Detecting fraud in health insurance
- Customer attrition analysis in life insurance
Instructors
IIM Ranchi Frequently Asked Questions (FAQ's)
Yes, students are free to apply for the Applied Data Mining with Business Applications course in the online mode.
Yes, students will be able to access the study material of the programme.
No, the Applied Data Mining with Business Applications programme does not have any scholarship schemes.
No, the students will not get any credit for the programme.
Students can apply for the course through its official website.