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Award in Statistical Models for Regression and Classification

Award in Statistical Models for Regression and Classification

  • MQF Level 5
  • 10 ECTS
Fact Sheet (EU/Maltese)

Course Overview

This unit delves into the essentials and complexities of statistical models specifically tailored for regression and classification tasks. It aims to equip students with a deep understanding and practical skills in employing both linear and logistic regression techniques, along with an array of classification algorithms like decision trees, random forests, and support vector machines. This comprehensive module introduces students to the theoretical underpinnings and real-world applications of key statistical models used in regression and classification. Starting with a robust theoretical foundation, the curriculum progresses to cover linear regression models, including both simple and multiple linear regression, and logistic regression for binary outcomes. Students will explore various classification algorithms, understanding their unique mechanisms and suitability for different types of data and problem settings.

Practical sessions will involve hands-on exercises where students apply these models to datasets drawn from finance, healthcare, and marketing, among others, to predict outcomes and classify data effectively. Special attention is given to the assumptions, limitations, and interpretation of results to ensure students can critically evaluate the efficacy of their models. Topics such as model validation, dealing with overfitting, and techniques for improving model accuracy through parameter tuning and cross-validation are integral parts of the course.

The main assessment method will be as follows: 100% Assignment (Word Count: 4,000 – 6,000 words)

Accredited

MQF Level 5

Award

10 ECTS

  • Individuals seeking a comprehensive education in software design, including foundational and advanced topics in artificial intelligence and cloud computing.
  • Students are interested in developing a broad understanding of software development principles and technologies, with options to specialize through various awards within the programme.
  • Professionals aiming to enhance their skills and qualifications in software design, AI, and cloud computing to advance their careers.
  • Anyone passionate about technology and innovation, looking to gain knowledge and practical experience in cutting-edge software solutions and computing technologies.

Hybrid classes (subject to change)

You can register for programs either online or in-person. For further details, please feel free to contact us.

  • Students must be in possession of a minimum MQF Level 4 full qualification or higher related to Software Design, IT, or Computing
  • While not mandatory, any relevant experience in IT, software development, or related areas will be considered a benefit.
  • A demonstrated interest in artificial intelligence, cloud computing, and software design, along with a commitment to successfully completing the programme.
  • In the case of international students, where English is not an official language, students need to demonstrate proficiency in the English language through IELTS (Score: 6.0) (International English Language Testing System) or equivalent.

YES this course falls under the

  • GET QUALIFIED scheme which is an initiative that supports the personal development of individuals for the achievement of qualifications and certifications required by industry. The incentive is applicable to individuals following a course of studies leading to a Certification, Diploma, Degree, or Post-Graduate Degree Courses. Upon successful completion, the student will benefit from a tax credit enabling them to recover part of the costs incurred.

Discover more on website: https://maltaenterprise.com/support/get-qualified-2017-2023

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Euro (EU / Maltese)440.00
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Course Length

2 Months

Intakes

To obtain information about the current intakes dates, we invite you to get in touch with our office.

Class Schedule

Twice weekly, from 18:30 pm till 20:30 pm (subject to change)

Language

English

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Inquiry

Registration Fees: €250

Assignment Submission Fees: €50 per assignment

Fees include

1. Overall qualification certificate

2. Course material tutorial support notes

3. Access to online course resources