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 .

Top Linear Programming Courses - Learn Linear Programming Online

Explore the Linear Programming Course Catalog

Status: Preview
Northeastern University
Industrial Optimization: Models & Linear Programming
Skills you'll gain: Operations Research, Applied Mathematics, Mathematical Modeling, Process Optimization, Mathematical Software, Linear Algebra, Algorithms, Spreadsheet 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, Theoretical Computer Science, Numerical Analysis, Algorithms, Applied Mathematics, Graph Theory, Linear Algebra, Mathematical Modeling, Python Programming, Computational Thinking, Combinatorics
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: Graphing, Algebra, Mathematical Modeling, Predictive Modeling, Arithmetic, Advanced Mathematics, Applied Mathematics, Linear Algebra, Business Mathematics, Geometry, Scientific Methods
4.8
Rating, 4.8 out of 5 stars
749 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, Machine Learning Algorithms, Applied Mathematics, Geometry, Algorithms, General Mathematics, 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, Advanced Mathematics, Engineering Analysis, General 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: Web Scraping, Object Oriented Programming (OOP), Data Analysis, Python Programming, Pandas (Python Package), Data Collection, Data Structures, Data Manipulation, Programming Principles, NumPy, Application Programming Interface (API), Data Import/Export, File Management
4.6
Rating, 4.6 out of 5 stars
42K reviews
Beginner · Course · 1 - 3 Months

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Status: Free Trial
Johns Hopkins University
Linear Algebra from Elementary to Advanced
Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Image Analysis, Applied Machine Learning, Engineering Calculations, Geometry, Advanced Mathematics, Mathematical Modeling, Markov Model, Numerical Analysis, Data Transformation
4.7
Rating, 4.7 out of 5 stars
195 reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Duke University
Rust Programming
Skills you'll gain: Rust (Programming Language), Containerization, DevOps, CI/CD, Serverless Computing, Jenkins, Docker (Software), Large Language Modeling, Development Environment, Continuous Integration, Command-Line Interface, Data Pipelines, Software Development, Microsoft Copilot, Amazon Web Services, Continuous Delivery, Data Processing, Natural Language Processing, Cloud Computing, Computer Programming
3.9
Rating, 3.9 out of 5 stars
223 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, Program Development, Graph Theory, Software Technical Review, Integrated Development Environments, Artificial Intelligence, Game Design, Data Storage, File Management
4.5
Rating, 4.5 out of 5 stars
9.4K reviews
Beginner · Specialization · 3 - 6 Months
Status: New
Status: Free Trial
Meta
Meta Full-Stack Developer
Skills you'll gain: Database Design, Version Control, Unix Commands, Restful API, HTML and CSS, Jest (JavaScript Testing Framework), Django (Web Framework), Relational Databases, Git (Version Control System), React.js, SQL, API Design, GitHub, Responsive Web Design, Database Management, Application Programming Interface (API), MySQL, Database Systems, Object Oriented Programming (OOP), Python Programming
4.7
Rating, 4.7 out of 5 stars
24K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
DeepLearning.AI
Mathematics for Machine Learning and Data Science
Skills you'll gain: Linear Algebra, Descriptive Statistics, Statistical Hypothesis Testing, Bayesian Statistics, Probability Distribution, Probability & Statistics, Sampling (Statistics), Calculus, Applied Mathematics, Advanced Mathematics, A/B Testing, Statistics, Probability, Numerical Analysis, Mathematical Modeling, Statistical Analysis, Data Science, Machine Learning Algorithms, Dimensionality Reduction, Machine Learning
4.6
Rating, 4.6 out of 5 stars
2.8K reviews
Intermediate · Specialization · 1 - 3 Months
Status: Free Trial
Johns Hopkins University
GPU Programming
Skills you'll gain: Scalability, C and C++, Artificial Intelligence and Machine Learning (AI/ML), System Programming, Distributed Computing, Deep Learning, Linear Algebra, Image Analysis, Performance Tuning, Program Development, Numerical Analysis, Programming Principles, Event-Driven Programming, Computer Architecture, Algorithms, Computer Hardware, Data Structures, Python Programming, Hardware Architecture, Machine Learning
Build toward a degree
2.8
Rating, 2.8 out of 5 stars
166 reviews
Intermediate · Specialization · 3 - 6 Months