Bayesian Thinking

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Intermediate level

Approx 3h to complete

100% online and self-paced

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Course Description

Bayesian Thinking Course Overview

Bayesian methods give us an alternative way to think about probability, with applications in business decision-making.

While traditional statistics requires us to observe a meaningful sample to inform decisions, Bayesian methods allow a "best guess" approach based on the information available. These approaches also allow us to include other information such as beliefs and outside knowledge.

This course will take you on a step-by-step journey, from traditional statistical approaches, through conditional probability and Bayes Theorem. These concepts will form a foundation to help you understand two basic Machine-Learning examples introduced in the course. In the end, you'll produce a real-world classification models using Python.

Illustration of inputs within a bayesian classification model.


Bayesian Thinking Objectives

Upon completing this course, you will be able to:

  • 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


Summary statistics in a gaussian naive bayes classification walk-through.


Who Should Take this BIDA Course?

This Bayesian Thinking course is perfect for professionals who work with data and want to apply an understanding of statistics to solving business problems. This course covers critical concepts for anyone working with statistics or data science and introduces both the concepts and practical applications. No background in coding with Python is required for this course.

Common career paths for students who take the BIDA™ program are Business Intelligence, BI Developer, Data Analyst, Quantitative Analyst, and other finance careers.

Slide illustrating process of updating a prior using a likelihood ratio or bayes factor.

Bayesian Thinking is an Elective Course of CFI's BIDA™ Program

This course is part of CFI's upcoming Business Intelligence & Data Analyst (BIDA)™ Program. This program will cover all the basic, intermediate, and advanced topics about business intelligence, and data analysis. The program will also include a number of case studies to allow students to practice skills and tasks on sample data. This program will teach you the quantitative methods used in the finance and capital markets industry. It is ideal for students who want to learn how to analyze complex data. The program is completely online so you can take it at your own pace, from anywhere in the world.

Students can sign up for updates and reserve a spot in the Business Intelligence & Data Analyst (BIDA)™ Program on the student dashboard. 

What You'll Learn

Lesson
Multimedia
Exams
Files

Become a certified Business Intelligence & Data Analyst (BIDA)™

Bayesian Thinking is part of the Business Intelligence & Data Analyst (BIDA)™ certification, which includes 17 BIDA courses + all future courses in the program.

Business Intelligence & Data Analyst (BIDA)™ Certification
  • Skills Learned Data Visualization, Data Warehousing and Transformation, Data Modeling and Analysis
  • Career Prep Business Intelligence Analyst, Data Scientist, Data Visualization Specialist

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