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Python for Data Science
One of the most in-demand skills in the industry. Some background required. Master Python for Data Science with hands-on projects and real-world applications.
4.4(7)
•2 Students Enrolled•intermediate•1 week•EnglishCourse Overview
One of the most in-demand skills in the industry. Some background required. Master Python for Data Science with hands-on projects and real-world applications. Curriculum Structure & Core Modules: • 1. Introduction to Python for Data Science • 2. Core Principles of Python for...
What You'll Learn
- Master the core concepts and principles of Python for Data Science
- 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 Python for Data Science
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.
8 Chapters
•32 Lecture
•0s
1. Introduction to Python for Data Science: Foundations & First Principles
Chapter 1: Scientific Python Foundations & Environment Architecture ESTIMATED TIME: 35 min Python Runtime & Data Science Environment: CPython Internals, Memory Layout, and Virtual Environments Python for Data Science Professional Curriculum Aligned with Certified Associate in Python Data Analytics (PCAD) & Industry Data Science Standards 1. The CPython Execution Engine & Memory Model To write high...
2. Introduction to Python for Data Science: Core Concepts & Key Terminology
Chapter 1: Scientific Python Foundations & Environment Architecture ESTIMATED TIME: 40 min Vectorized Computing with NumPy: The ndarray Architecture, Strides, and SIMD Acceleration Python for Data Science Professional Curriculum Aligned with Certified Associate in Python Data Analytics (PCAD) & Industry Data Science Standards 1. The Anatomy of the NumPy ndarray At the mathematical core of the scie...
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3. Introduction to Python for Data Science: Practical Implementation Guide
Chapter 1: Scientific Python Foundations & Environment Architecture ESTIMATED TIME: 40 min Advanced NumPy Operations: Broadcasting Rules, Multi-Dimensional Slicing, and Linear Algebra Python for Data Science Professional Curriculum Aligned with Certified Associate in Python Data Analytics (PCAD) & Industry Data Science Standards 1. The General Broadcasting Rules (RFC-Grade Formulation) Broadcastin...
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4. Introduction to Python for Data Science: Troubleshooting & Best Practices
Chapter 1: Scientific Python Foundations & Environment Architecture ESTIMATED TIME: 35 min NumPy Memory Profiling & Optimization: Views vs. Copies, In-Place Mutability, and np.memmap Python for Data Science Professional Curriculum Aligned with Certified Associate in Python Data Analytics (PCAD) & Industry Data Science Standards 1. The Critical View vs. Copy Distinction One of the most frequent sou...
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5. Chapter 1 Quiz
6. Assignment 1: Python for Data Science Fundamentals Project
Academic Ecosystem & Connected Pathways
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Structured Learning PathsCurated multi-course career specializations
WAEC / SSCE Examination HubComplete secondary school syllabus & mock tests
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Tertiary & University Hub100L - 400L degree benchmark modules
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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$6100% Off
Certificate available separately for $20 after completionCourse Includes
8 Chapters
32 Lectures
1 week
Skill Level intermediate
Taught in English
Lifetime Access
Certification of Completion
Category: Data Science
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