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: 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
4.9
Rating, 4.9 out of 5 stars
45 reviews
Advanced · Course · 1 - 4 Weeks
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
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Imperial College London
Mathematics for Machine Learning: Linear Algebra
Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Data Science, Jupyter, Algorithms, Python Programming, Machine Learning
4.7
Rating, 4.7 out of 5 stars
12K reviews
Beginner · Course · 1 - 3 Months
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
Status: Free Trial
Status: AI skills
Google
Google UX Design
Skills you'll gain: Responsive Web Design, Storyboarding, Wireframing, User Experience Design, UI/UX Research, Usability Testing, Information Architecture, Presentations, User Research, Figma (Design Software), Design Reviews, Persona (User Experience), Web Content Accessibility Guidelines, Mobile Development, User Story, Cross Platform Development, Data Ethics, Usability, Interviewing Skills, Applicant Tracking Systems
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
92K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
Status: AI skills
IBM
IBM Data Science
Skills you'll gain: Dashboard, Data Visualization Software, Data Visualization, SQL, Predictive Modeling, Unsupervised Learning, Plotly, Interactive Data Visualization, Supervised Learning, Exploratory Data Analysis, Jupyter, Data Wrangling, Data Literacy, Data Analysis, Data Mining, Matplotlib, Regression Analysis, Scikit Learn (Machine Learning Library), Generative AI, Professional Networking
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
145K reviews
Beginner · Professional Certificate · 3 - 6 Months

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Status: Free Trial
University of Michigan
Python for Everybody
Skills you'll gain: Web Scraping, Data Processing, Relational Databases, Data Visualization, JSON, Database Design, SQL, Network Protocols, Web Services, Restful API, Data Modeling, Programming Principles, Application Programming Interface (API), Database Systems, Database Management, Extensible Markup Language (XML), Data Structures, Data Collection, Computer Programming, Python Programming
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
278K reviews
Beginner · Specialization · 3 - 6 Months
Status: New
Johns Hopkins University
Honors Algebra 2: Linear and Quadratic Functions
Skills you'll gain: Algebra, Graphing, Advanced Mathematics, Logical Reasoning, General Mathematics, Mathematical Theory & Analysis, Applied Mathematics, Mathematical Modeling, Visualization (Computer Graphics), Correlation Analysis
Beginner · Course · 1 - 4 Weeks
Status: New
Status: Free Trial
Status: AI skills
IBM
IBM Java Developer
Skills you'll gain: Prompt Engineering, Cloud-Native Computing, Software Development Life Cycle, Software Architecture, Hibernate (Java), Database Design, Docker (Software), Containerization, Git (Version Control System), GitHub, Cascading Style Sheets (CSS), Microservices, Object Oriented Programming (OOP), Large Language Modeling, Restful API, Java Programming, Version Control, Database Management, Software Development, Software Design
4.6
Rating, 4.6 out of 5 stars
5.8K reviews
Beginner · Professional Certificate · 3 - 6 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
University of California, Santa Cruz
Coding for Everyone: C and C++
Skills you'll gain: C++ (Programming Language), Debugging, C (Programming Language), Object Oriented Programming (OOP), Software Design Patterns, Programming Principles, Data Structures, Computer Programming, Algorithms, Command-Line Interface, Graph Theory, Program Development, Computer Science, Computational Thinking, Integrated Development Environments, Artificial Intelligence, File Systems, Game Design
4.5
Rating, 4.5 out of 5 stars
9.4K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Johns Hopkins University
GPU Programming
Skills you'll gain: Artificial Neural Networks, Image Analysis, Event-Driven Programming, C and C++, Scalability, Deep Learning, Software Development, Machine Learning Methods, Performance Tuning, Linear Algebra, Distributed Computing, System Programming, Computer Graphics, Computer Hardware, Computer Vision, Numerical Analysis, Computer Architecture, Data Structures, Performance Testing, Machine Learning
Build toward a degree
2.7
Rating, 2.7 out of 5 stars
155 reviews
Intermediate · Specialization · 3 - 6 Months