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The Complete Radme 2024: From Zero to Expert!

Radiology and FRCR Preparation Course | 3 sections, 9 lessons, a quiz after every section and a final certification exam.


October 23, 2026
(214 Reviews)
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30-Day Money-Back Guarantee
  • Duration5 Hrs 35 Min
  • Enrolled1240
  • Lectures9
  • Skill LevelAdvanced
  • LanguageEnglish
  • Quizzes3
  • CertificateYes
  • Pass Percentage70%

About

  • 5 Long Reporting exams with personalized/tailored feedback.
  • 5 Short Reporting exams with personalized/tailored feedback.
  • 2 Recorded Sessions for the reporting part.
  • 5 Hot seats of viva sessions.
  • 45 Observer seats of viva sessions.
  • Each hot seat participation simulates the exam for 15 minutes with the examiner, followed by 15 minutes of discussion and personal feedback with the examined candidate.
  • All the activities are live Zoom sessions.

What you'll learn ?

  • 5 Long Reporting exams with personalized/tailored feedback.
  • 5 Short Reporting exams with personalized/tailored feedback.
  • 2 Recorded Sessions for the reporting part.
  • 5 Hot seats of viva sessions.
  • 45 Observer seats of viva sessions.
  • Each hot seat participation simulates the exam for 15 minutes with the examiner, followed by 15 minutes of discussion and personal feedback with the examined candidate.
  • All the activities are live Zoom sessions.

Course Content

Section 1 Quiz

5 Multiple choice questions | Passing score 70% | Radiology and Imaging

Complete all lessons in this section before taking the section quiz

Section 2 Quiz

5 Multiple choice questions | Passing score 70% | Radiology and Imaging

Complete all lessons in this section before taking the section quiz

Section 3 Quiz

5 Multiple choice questions | Passing score 70% | Radiology and Imaging

Complete all lessons in this section before taking the section quiz

Requirements

  • Become an advanced, confident, and modern JavaScript developer from scratch.
  • Have an intermediate skill level of Python programming.
  • Have a portfolio of various data analysis projects.
  • Use the numpy library to create and manipulate arrays.

Description

  • Use the Jupyter Notebook Environment. JavaScript developer from scratch.
  • Use the pandas module with Python to create and structure data.
  • Have a portfolio of various data analysis projects.
  • Create data visualizations using matplotlib and the seaborn.

Instructor

Author Images
Dr Mohamed Morsi
FRCRConsultant Radiologist
Author Images
Dr Mahmoud Rezk
PhD, MD, EDIR, FRCR, ESHI Ambassador
Author Images
Dr.Mahmoud Elsaidy
FRCR, ECFMG

Review

5.0
Course Rating
63%
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