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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 |
|---|---|---|
| USD 189 | yes | IIM Bangalore |
The fees for the Applied Bayesian for Analytics course is :
Fee Category | Amount |
Base Fee | nil |
Certificate Fee | $ 189 |
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/learn/data-analysis/indian-institute-of-management-bangalore-applied-bayesian-for-analytics
Please note: We are unable to proceed further to check the steps.
The Syllabus
- Foundations of Bayesian Inference
- Bayes theorem
- Advantages of Bayesian models
- Why Bayesian approach is so important in Analytics
- Major densities and their applications
- Likelihood theory and Estimation
- Parametrizations and priors
- Learning from binary models
- Learning from Normal Distribution
- Basics of Monte carol integration
- Basics of Markov chain Monte Carlo
- Gibs Sampling
- Examples of Bayesian Analytics
- Introduction to R and OPENBUGS for Bayesian analysis
- Context for Bayesian Regression Models
- Normal Linear regression
- Logistic regression
- Introduction to Multilevel models
- Exchangeability
- Computation in Hierarchical Models