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Statistics

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Introduction to Statistical Learning Fall24 fall25

The course aims at imparting new emerging techniques for predictive learning. The course covers wide range statistical learning methods for supervised learning with real life applications using R/Pyt…
  • Enseignant: Muhammad Farooq
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Advanced programming with R - Fall24 fall25

In this course, students master statistical packages and learn how to develop powerful, reusable tools for data science using R. Going beyond basic coding, students dive into the computational proces…
  • Enseignant: RONALD WESONGA
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Statistical Inference I Fall24 fall25

This course reviews the population parameters and sample statistics and covers, Sampling distributions, Central Limit Theorem, Order statistics, Methods for finding point estimators, Properties of po…
  • Enseignant: MOH'D ALODAT
  • Enseignant: BRAHIM BENAID
Course Image Introduction to Statistics ||Fall24 fall25

Introduction to Statistics ||Fall24 fall25

This is an introductory course in Statistics designed for students with no background in Statistics and with a limited background in mathematics. The topics to be covered include: basic concepts of d…
  • Enseignant: Moza Al-Balushi
  • Enseignant: Ahmed Al-hadhrami
  • Enseignant: Yasir Al-Harthi
  • Enseignant: IMAN AL-HASANI
  • Enseignant: BRAHIM BENAID
  • Enseignant: Mohamed Razmy
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Multivariate Techniques Fall24 fall25

This course offers a vital introduction to multivariate statistical methods, providing students with the tools to analyze and interpret complex, high-dimensional data, skills that are increasingly re…
  • Enseignant: RONALD WESONGA
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Statistical Inference II Fall24 fall25

Many studies give rise to data classified with respect to one or more factors. Such data can be analyzed using the techniques of analysis of variance (ANOVA), or analysis of contingency tables, depen…
  • Enseignant: AMADOU SARR
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Statistical Mrthods Fall24 fall25

  • Enseignant: Khidir Abdelbasit
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BUSINESS STATISTICS Section (100) || Fall24 fall25

  • Enseignant: AMIRA AL AAMRI
  • Enseignant: Noora AlShanfari
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BUSINESS STATISTICS Section (90) || Fall24 fall25

  • Enseignant: AMIRA AL AAMRI
  • Enseignant: AFRA AL MANEI
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BUSINESS STATISTICS Section (80) || Fall24 fall25

  • Enseignant: AMIRA AL AAMRI
  • Enseignant: Zainab Al Balushi
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BUSINESS STATISTICS Section (70) || Fall24 fall25

  • Enseignant: AMIRA AL AAMRI
  • Enseignant: Safia Al Marhoobi
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BUSINESS STATISTICS Section (60) || Fall24 fall25

  • Enseignant: AMIRA AL AAMRI
  • Enseignant: Zainab Al Balushi
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BUSINESS STATISTICS Section (50) || Fall24 fall25

  • Enseignant: AMIRA AL AAMRI
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BUSINESS STATISTICS Section (40) || Fall24 fall25

  • Enseignant: AMIRA AL AAMRI
  • Enseignant: IMAN ALHASHMI
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BUSINESS STATISTICS Section (30) || Fall24 fall25

  • Enseignant: AMIRA AL AAMRI
  • Enseignant: IMAN ALHASHMI
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BUSINESS STATISTICS Section (20) || Fall24 fall25

  • Enseignant: AMIRA AL AAMRI
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BUSINESS STATISTICS Section (10) || Fall24 fall25

  • Enseignant: AMIRA AL AAMRI
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STAT3331 - OPERATIONS RESEARCH(1) - Fall24 fall25

  • Enseignant: MANOJ KUMAR
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Time Series Forecasting For Business - Fall24 fall25

We need a page on the moodle to present the course materials.   Kind regards Amira
  • Enseignant: AMIRA AL AAMRI
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Probability for Engineers || Fall24 fall25

  • Enseignant: MOUNIR ARFI
  • Enseignant: MANOJ KUMAR
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