Why learn linear programming?

Learn about linear programming if you want to be able to use more tools for data modeling and analysis. Linear programming is a mathematical technique. It's used to maximize or minimize a linear function, similar to a regression, that includes such variables as production output or inventory cost. It is related to regression analysis. Linear programming can be used to solve problems in the face of different restraints. Linear programming can help you pull insights and make decisions from the information that's been collecting for a long time. It's used in financial analysis, financial modeling, and strategic planning. It's often part of algorithms written by computer programmers, too, although it does not necessarily require computer programming to learn it.

What career opportunities may arise from learning linear programming?

Career opportunities that arise from learning linear programming are mostly in computer programming, financial analysis, and quantitative data modeling. It can be applied to any field where data is generated, resources are limited, and decisions have to be made. Also, it is important to understand that the role of linear programming generates results with discrete optimization so that the outcomes are used effectively. It is also useful to understand the power and limitations of linear programming if you will be using reports and making decisions based on its results. It is a powerful component of computer programs that include advanced algorithms or game theory.

How can online courses on Coursera help me learn linear programming?

Online courses on Coursera can help you learn linear programming in a way that works best for how you will use it. Several courses help you learn linear programming in the context of financial analysis. Some emphasize mathematics, others concentrate on game theory or computer programming. Some involve spreadsheets, and others call for work with specific programming languages. Courses are at the beginning, intermediate, and advanced levels to accommodate a range of experience. The courses include lectures, readings, and projects so that you can apply what you learn. There are also Guided Projects that let you apply and refine your current knowledge of linear programming.

What are the benefits of taking an online Linear Programming course?

Online Linear Programming courses offer a convenient and flexible way to enhance your knowledge or learn new Linear Programming skills. Choose from a wide range of Linear Programming courses offered by top universities and industry leaders tailored to various skill levels.

What Linear Programming courses are best for training and upskilling employees or the workforce?

When looking to enhance your workforce's skills in Linear Programming, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here .

Best Linear Programming Courses & Certificates [2025]

Explore the Linear Programming Course Catalog

Status: Preview
Northeastern University
Industrial Optimization: Models & Linear Programming
Skills you'll gain: Operations Research, Applied Mathematics, Mathematical Software, Linear Algebra, Mathematical Modeling, Algorithms, Process Optimization, Business Modeling, Complex Problem Solving, Data Analysis Software
Build toward a degree
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
University of Colorado Boulder
Approximation Algorithms and Linear Programming
Skills you'll gain: Operations Research, Algorithms, Applied Mathematics, Graph Theory, Network Model, Linear Algebra, Combinatorics, Computational Thinking, Mathematical Modeling, Theoretical Computer Science, Python Programming, Network Analysis
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
47 reviews
Advanced · Course · 1 - 4 Weeks
Status: Free Trial
Johns Hopkins University
Algebra: Elementary to Advanced
Skills you'll gain: Algebra, Mathematical Modeling, Graphing, Arithmetic, Advanced Mathematics, Applied Mathematics, General Mathematics, Mathematical Theory & Analysis, Analytical Skills, Probability & Statistics, Geometry
4.8
Rating, 4.8 out of 5 stars
750 reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Imperial College London
Mathematics for Machine Learning: Linear Algebra
Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Data Transformation, Data Science, Jupyter, Machine Learning Methods, Algorithms, Data Manipulation, Python Programming
4.7
Rating, 4.7 out of 5 stars
12K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
The Hong Kong University of Science and Technology
Matrix Algebra for Engineers
Skills you'll gain: Linear Algebra, Engineering Calculations, Algebra, Engineering Analysis, General Mathematics, Advanced Mathematics, Applied Mathematics
4.9
Rating, 4.9 out of 5 stars
4.6K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
IBM
Python for Data Science, AI & Development
Skills you'll gain: Jupyter, Python Programming, Data Structures, Web Scraping, Data Manipulation, Programming Principles, Pandas (Python Package), Computer Programming, Object Oriented Programming (OOP), Restful API, NumPy, Application Programming Interface (API), Data Analysis, Data Import/Export, File Management
4.6
Rating, 4.6 out of 5 stars
42K reviews
Beginner · Course · 1 - 3 Months

What brings you to Coursera today?

Start my career

Change my career

Grow in my current role

Explore topics outside of work

Status: New
Status: Free Trial
University of Pittsburgh
Mathematical Foundations for Data Science and Analytics
Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning
Build toward a degree
Beginner · Specialization · 1 - 3 Months
Status: Free Trial
IBM
IBM AI Engineering
Skills you'll gain: Prompt Engineering, Large Language Modeling, PyTorch (Machine Learning Library), Unsupervised Learning, Generative AI, Keras (Neural Network Library), Supervised Learning, Deep Learning, Reinforcement Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Generative AI Agents, Natural Language Processing, Tensorflow, Artificial Neural Networks, OpenAI, Machine Learning, Python Programming, Data Science
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
21K reviews
Intermediate · Professional Certificate · 3 - 6 Months
Status: Free Trial
Vanderbilt University
MATLAB Programming for Engineers and Scientists
Skills you'll gain: Data Visualization, Image Analysis, Data Visualization Software, Matlab, Algorithms, Machine Learning Methods, User Interface (UI), Applied Machine Learning, Object Oriented Programming (OOP), Statistical Methods, Mathematical Software, Engineering Calculations, Computer Programming, Data Processing, Data Analysis, Engineering Analysis, Programming Principles, Scripting, UI Components, Software Design
4.8
Rating, 4.8 out of 5 stars
18K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Google
Data Analysis with R Programming
Skills you'll gain: Rmarkdown, Ggplot2, R Programming, Data Analysis, Tidyverse (R Package), Data Visualization, Statistical Programming, Data Visualization Software, Data Cleansing, Data Manipulation, Exploratory Data Analysis, Data Import/Export, Package and Software Management, Data Structures
4.8
Rating, 4.8 out of 5 stars
12K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Multiple educators
Object Oriented Programming in Java
Skills you'll gain: Unit Testing, Data Structures, Event-Driven Programming, Interactive Data Visualization, Java, Java Programming, Development Testing, User Interface (UI), Object Oriented Programming (OOP), Debugging, Software Testing, Computer Programming, Cryptography, Software Engineering, Performance Tuning, Encryption, Algorithms, Data Analysis, Software Design, Problem Solving
4.6
Rating, 4.6 out of 5 stars
15K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Duke University
Rust Programming
Skills you'll gain: Rust (Programming Language), Containerization, Data Pipelines, CI/CD, Docker (Software), Jenkins, DevOps, Unit Testing, Large Language Modeling, Test Case, Restful API, Serverless Computing, Generative AI, Amazon Web Services, Development Testing, Software Testing, Command-Line Interface, Natural Language Processing, Computer Programming, Cloud Computing
3.9
Rating, 3.9 out of 5 stars
227 reviews
Beginner · Specialization · 3 - 6 Months