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Data Science Fundamentals
One of the most in-demand skills in the industry. No prior experience needed. Master Data Science Fundamentals with hands-on projects and real-world applications.
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•2 Students Enrolled•beginner•1 week•EnglishCourse Overview
One of the most in-demand skills in the industry. No prior experience needed. Master Data Science Fundamentals with hands-on projects and real-world applications. Curriculum Structure & Core Modules: • 1. Introduction to Data Science • 2. Data Collection & Cleaning • 3....
What You'll Learn
- Master the core concepts and principles of Data Science Fundamentals
- Apply practical skills through hands-on projects and real-world exercises
- Understand industry best practices and professional workflows in Data Science
- Build job-ready skills that employers in Data Science are looking for
- Develop problem-solving techniques specific to Data Science Fundamentals
Requirements
- Basic computer literacy and a stable internet connection
- Willingness to learn and dedicate time to practice regularly
- No prior experience required — this course starts from the fundamentals
- A computer or laptop capable of running a modern web browser
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.
5 Chapters
•20 Lecture
•0s
1. What is Data Science
DATA SCIENCE FUNDAMENTALS • CH 1: LESSON 1 ESTIMATED TIME: 22 MIN READ What is Data Science: Scope, Disciplines, and Value Creation Deconstructing modern data science across computer science, statistical reasoning, domain knowledge, and organizational impact. 1. Deconstructing the Modern Data Science Discipline Data science is the interdisciplinary field that extracts actionable knowledge and...
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2. End-to-End Data Science Project
3. Data Science Workflow
DATA SCIENCE FUNDAMENTALS • CH 1: LESSON 2 ESTIMATED TIME: 24 MIN READ The Data Science Lifecycle: CRISP-DM, OSEMN, and Agile Iteration Standardizing analytical initiatives from problem formulation and hypothesis generation to model deployment and drift management. 1. The Need for Systematic Methodologies Data science initiatives carry inherently higher uncertainty than conventional software...
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4. Data Cleaning Report
5. Tools & Languages
DATA SCIENCE FUNDAMENTALS • CH 1: LESSON 3 ESTIMATED TIME: 25 MIN READ The Modern Data Science Stack: Languages, Libraries, and Tooling Comparative analysis of Python, R, SQL, computational notebooks, package managers, and production version control. 1. The Core Languages: Python, R, and SQL The contemporary data science practitioner operates across a multi-language ecosystem where distinct l...
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6. Career Paths
DATA SCIENCE FUNDAMENTALS • CH 1: LESSON 4 ESTIMATED TIME: 21 MIN READ Data Science Career Paths, Portfolios, and Industry Dynamics Navigating specializations across analytics, machine learning, data engineering, interview expectations, and impactful portfolio construction. 1. The Maturing Data Specialization Landscape A decade ago, enterprises sought "unicorn" data scientists—rare individual...
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7. Data Science Fundamentals Quiz
Academic Ecosystem & Connected Pathways
Deepen your studies across connected learning pathways in the PAMCET academic network:
Digital Research Library16,000+ open-access monographs & textbooks
Structured Learning PathsCurated multi-course career specializations
WAEC / SSCE Examination HubComplete secondary school syllabus & mock tests
JAMB / UTME PreparationComputer-based tests & scoring analytics
Tertiary & University Hub100L - 400L degree benchmark modules
Credential Verification PortalInstant cryptographic certificate authentication
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
No reviews available
Free$3.9100% Off
Certificate available separately for $20 after completionCourse Includes
5 Chapters
20 Lectures
1 week
Skill Level beginner
Taught in English
Lifetime Access
Certification of Completion
Category: Data Science
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