Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
Data science is one of the major industries of the world right now and it is continuously expanding through all sectors; an important one among these domains is applied Bayesian statistics. It has a wide use when it comes to data analysis and thus, constantly produces a need for fresh candidates to join the programme.
Applied Bayesian for Analytics is an Indian Institute of Management Bangalore-designed course that provides its students with all the essential insights and requirements from the Applied Bayesian for Analytics certification course. It teaches them all the founding topics of the industry, from parametrizations, and Monte Carlo methods to what difference it possesses compared to classical statistics and multilevel modelling.
Applied Bayesian for Analytics course will be mentored to the applicants in two different parts; one being the essential theoretical concepts and the other the empirical part of the domain. Through the first three weeks, applicants will attain the know-how of calculating posterior and prior aspects along with analytical skills while the latter part will give them a detailed understanding of computing Bayesian models. This online programme is a self-paced course and it can be taken by learners either in the paid mode or free mode. In the free audit mode, the candidates will be given access only for a limited period.
The Highlights
- edX verified certificate
- IIMB faculty
- 6-weeks long
- Self-paced course
- Free course available
- IIMB certification
- 2-3 hours daily required effort
- The introductory level of education
Programme Offerings
- Instructor-led sessions
- Self-paced learning
- E-learning Platform
- Course handouts
- assignments
- quizzes
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 15770 | yes | IIM Bangalore |
- The applicants will receive the contents of this course for free.
- For candidates to get a certification at the end, they will be required to pay the fee of Rs. 15,770.
Category | Amount |
Programme fee | Inapplicable |
Certification fee | Rs. 15,770 |
Eligibility Criteria
Work Experience
The course belongs to an introductory level of education, therefore, it does not need the candidates to have any work experience.
Education
Applicants who have a decent knowledge of basic statistics can apply for this course only.
Certification Qualifying Details
The applicants are required to finish the entire course, its assignments, and successfully pass the tests and quizzes to get the Applied Bayesian for Analytics course certificate.
What you will learn
As the name suggests, any and all concepts regarding Bayesian influence will be taught.
- Its foundation and applications from both theoretical and practical viewpoints for statistical analysis will be the base of the applicants’ learning.
- The various models of Bayesian and their examples in conjugation with OpenBUGS will make up a big part of their learning.
- Students will be introduced to multilevel models and linear models and their experiences will be expanded on it.
- There will be regression models too which will be taught alongside linear and logistic regression.
- They will expand on their knowledge of statistics and learn new approaches to estimate probability and likelihoods.
- They will have the chance to personally learn how to create and fill various theorems and methods to their data sets.
- Computing the numbers onto the Bayesian model, hierarchical models, finding its parameters, and chances and forming decisions based upon these analyses.
- Another point of learning will be the Markov chain with Monte Carlo integration in the numbers.
Who it is for
Candidates of the following group will find the most benefits from this group.
- Applicants who wish to join the sector, familiarise themselves with the processes, and be perfect in their work from the start can join this programme to achieve these goals.
- Employers of the data science industry who want to compete harder and better in their domains will find the skills and improve upon their basics to get better in the Applied Bayesian for Analytics course.
Admission Details
Instructions to apply for the course have been mentioned below.
Step 1: The course’s website has to be first opened on the applicant’s system - https://www.edx.org/course/applied-bayesian-for-analytics
Please note: We are unable to proceed further to check the steps.
The Syllabus
- Why Bayesian approach is so important in Analytics
- Bayes theorem
- Foundations of Bayesian Inference
- Major densities and their applications
- Advantages of Bayesian models
- Learning from Normal Distribution
- Learning from binary models
- Parametrizations and priors
- Likelihood theory and Estimation
- Gibs Sampling
- Basics of Markov chain Monte Carlo
- Basics of Monte carol integration
- Introduction to R and OPENBUGS for Bayesian analysis
- Examples of Bayesian Analytic
- Normal Linear regression
- The context for Bayesian Regression Models
- Logistic regression
- Introduction to Multilevel models
- Computation in Hierarchical Models
- Exchangeability
Instructors
IIM Bangalore Frequently Asked Questions (FAQ's)
The Applied Bayesian for Analytics course has been offered by the extremely reputed Indian Institute of Management at Bangalore. It is ranked the 2nd B-school in India.
edX was founded by Harvard and MIT institutes to collaborate with the highest-ranking universities across the world to make higher education of great quality accessible to everyone on the globe without making money an issue.
Pulak Ghosh is a professor of decision sciences at IIM Bangalore. He will act as the coordinator for this programme.
The Applied Bayesian for Analytics course offers its candidates a 90% fee waive scholarship which can be accessed by clearing the selection process. The applicants will have to submit three different articles and wait 2-4 days for the selection results.
The course has a total length of 6 weeks. The applicants will need to share 2-3 hours of their time daily in the Applied Bayesian for Analytics course to master the subject.
The applicants will need a system with an above-average internet connection to flawlessly pursue the course. To apply it, they need to have basic knowledge of statistics as well.
The programme has been divided into 2 parts; theoretical and empirical, both three weeks long and is delivered via online platforms. It will be taught by the instructor of the Applied Bayesian for Analytics course and is made self-paced to better suit the applicants’ learning abilities.