Course Report - Bayesian Thinking

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

Course Features

icon

Duration

3 hours

icon

Delivery Method

Online

icon

Available on

Limited Access

icon

Accessibility

Desktop, Laptop

icon

Language

English

icon

Subtitles

English

icon

Level

Intermediate

icon

Teaching Type

Self Paced

icon

Video Content

3 hours

Course Description

Bayesian methods offer a different way of thinking about probability. They have applications in business decision making.

Course Overview

projects-img

Personlized Teaching

projects-img

Case Based Learning

projects-img

Post Course Interactions

projects-img

Case Studies,Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Describe, compare, and contrast the three main approaches to probability

Understand the fundamentals of the Bayesian approach—such as conditional probability, priors, and updating beliefs

Apply Bayesian methods such as Bayes theorem and contingency tables to simple problems

Describe two Bayesian machine learning methods—multinomial and gaussian Bayes classifiers

Recognize the benefits of using these machine learning methods for modeling complex scenarios

Evaluate the results of the machine learning tests against business goals in Python

Target Students

Business Intelligence Analyst

Data Scientist

Data Visualization Specialist

Course Cover
Offer Percent Icon

2 Coupons Available
Get upto 10% Discount