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M.Sc. DegreeFaculty of Faculty of Pure & Applied SciencesStatistics
Data Science & Machine Learning (MSc)
Master Data Science & Machine Learning (MSc) in University - Statistics with this structured course, covering 8 modules and practice assessments.
Course Overview
Master Data Science & Machine Learning (MSc) in University - Statistics with this structured course, covering 8 modules and practice assessments. Curriculum Structure & Core Modules: • 1. Introduction to Data Science & Machine Learning (MSc) & Core Frameworks • 2. Theoretical...
What You'll Learn
- Understand and apply the principles of Advanced Machine Learning Algorithms
- Work confidently through Deep Learning Basics for Statisticians and its practical applications
- Analyse real-world scenarios involving Big Data Analytics — Advanced
- Develop applied skills in Statistical Learning Theory
- Critically evaluate approaches to Data Science Software — Advanced
Requirements
- Prior coursework or practical experience in University - Statistics is recommended before starting this course
- A computer, tablet or smartphone with a stable internet connection
- Willingness to commit regular study time to complete lessons, quizzes and assignments
Degree Programme Curriculum Context
This course is a curriculum unit of the M.Sc. Statistics degree framework in Nigeria.
Earn Your Certificate
Showcase your skills with a certificate! Complete the course, submit your project, and earn your certificate. Here's a sample of what you'll receive to show off your accomplishments.
Course Curriculum
Open-access academic curriculum. All foundational lectures available to read free.
8 Chapters
•24 Lecture
•0s
1. Introduction to Data Science & Machine Learning (MSc) & Core Frameworks - Concept Explanation & Foundations
University Level Course Introduction to Data Science & Machine Learning (MSc) & Core Frameworks Introduction to Data Science & Machine Learning (MSc) & Core Frameworks - Concept Explanation & Foundations Syllabus Reference: Introduction to Data Science & Machine Learning (MSc) & Core Frameworks 1. Academic Context & Benchmarking This lecture has been benchmarked against the advanced curriculum sta...
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2. Introduction to Data Science & Machine Learning (MSc) & Core Frameworks - Worked Examples & Case Analysis
University Level Course Introduction to Data Science & Machine Learning (MSc) & Core Frameworks Introduction to Data Science & Machine Learning (MSc) & Core Frameworks - Worked Examples & Case Analysis Syllabus Reference: Introduction to Data Science & Machine Learning (MSc) & Core Frameworks 1. Academic Context & Benchmarking This lecture has been benchmarked against the advanced curriculum stand...
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3. Introduction to Data Science & Machine Learning (MSc) & Core Frameworks - Practice Questions & Exercises
University Level Course Introduction to Data Science & Machine Learning (MSc) & Core Frameworks Introduction to Data Science & Machine Learning (MSc) & Core Frameworks - Practice Questions & Exercises Syllabus Reference: Introduction to Data Science & Machine Learning (MSc) & Core Frameworks 1. Academic Context & Benchmarking This lecture has been benchmarked against the advanced curriculum standa...
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Academic Ecosystem & Connected Pathways
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Instructor
PAMCET Learning Team
Institutional Course Curation · PAMCET
Qualifications:
PAMCET Learning Team — Institutional Course Curation, Digitpen Hub LtdMy Skills:
- Curriculum Curation
- Course Content Review
- Learning Outcome Design
- Course Publishing & Quality Assurance
- Platform Content Operations
Reviews
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Free$34.99100% Off
Certificate available separately for $50 after completionCourse Includes
8 Chapters
24 Lectures
1 week
Skill Level advanced
Taught in English
Lifetime Access
Certification of Completion
Category: University - Statistics
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