By completing this course, learners will be able to install GNU Octave, perform numerical computations, manipulate variables and matrices, apply operators, implement control structures, and design reusable functions for advanced problem-solving. The course begins with a strong foundation in installation, basic operations, and data handling before progressing into logical operations, decision-making, and iterative programming. Learners will then advance to modular coding with user-defined functions and explore trigonometric, matrix, and vector-based calculations.



GNU Octave: Apply, Implement & Design Functions
This course is part of Octave for Machine Learning: Data Analysis Mastery Specialization

Instructor: EDUCBA
Access provided by Howard University
What you'll learn
Install GNU Octave and perform core numerical computations.
Use operators, control structures, and iterative programming.
Build reusable functions for advanced problem-solving tasks.
Skills you'll gain
Details to know

Add to your LinkedIn profile
7 assignments
September 2025
See how employees at top companies are mastering in-demand skills

Build your subject-matter expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate

There are 2 modules in this course
This module introduces learners to the fundamentals of GNU Octave, including installation, basic operations, variables, and operators. Learners will develop a strong foundation in data handling, mathematical computations, and logical operations, preparing them for advanced problem-solving.
What's included
8 videos3 assignments1 plugin
This module explores Octave’s control structures and the power of user-defined functions. Learners will master decision-making, iteration, and modular programming with practical applications in trigonometry, matrices, and vectors.
What's included
12 videos4 assignments
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Why people choose Coursera for their career









