Credit Risk Modeling in Python 2020

Online Course

Udemy
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Credit Risk Modeling in Python 2020
  1. What is the course about?
  2. Prerequisites & Facts
  3. Cost, Certificate & Degree
  4. Reviews & Experiences

What is the course about?

Credit Risk Modeling in Python 2020
The course Credit Risk Modeling in Python 2020 is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

A complete data science case study: preprocessing, modeling, model validation and maintenance in Python

Course description
  • Credit Risk Modeling in Python 2020
  • Improve your Python modeling skills
  • Differentiate your data science portfolio with a hot topic
  • Fill up your resume with in demand data science skills
  • Build a complete credit risk model in Python
  • Impress interviewers by showing practical knowledge
  • No prior experience is required. We will start from the very basics
  • You’ll need to install Anaconda and Python. We will show you how to do that step by step
  • 7 hours on-demand video
  • 12 articles
  • 2 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • 365 Careers
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Prerequisites & Facts

Credit Risk Modeling in Python 2020

Course Topic

Happiness, Personal Development

University, College, Institution

Udemy

Course Skill Level

see course summary

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

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Degree & Cost

Credit Risk Modeling in Python 2020

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
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Credit Risk Modeling in Python 2020
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Reviews

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School: Udemy
Topic: Business, Credit Analysis, Data Analytics

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