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 Software, Operational Analysis, Linear Algebra, Mathematical Modeling, Algorithms, Business Modeling, Complex Problem Solving
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, Combinatorics, Computational Thinking, Mathematical Modeling, Theoretical Computer Science, Python Programming
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
47 reviews
Advanced · Course · 1 - 4 Weeks
Status: New
Status: Free Trial
Birla Institute of Technology & Science, Pilani
Mathematics for Engineering
Skills you'll gain: Integral Calculus, Engineering Calculations, Data Analysis, Probability & Statistics, Engineering Analysis, Computational Logic, Statistical Analysis, Linear Algebra, Logical Reasoning, Deductive Reasoning, Mathematical Modeling, Trigonometry, Bayesian Statistics, Advanced Mathematics, Statistical Methods, Artificial Intelligence and Machine Learning (AI/ML), Statistical Inference, Theoretical Computer Science, Programming Principles, Descriptive Analytics
4.6
Rating, 4.6 out of 5 stars
154 reviews
Beginner · Specialization · 3 - 6 Months
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: New
Status: Free Trial
Birla Institute of Technology & Science, Pilani
Linear Algebra for Machine Learning & AI
Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Applied Mathematics, Numerical Analysis, Machine Learning, Artificial Neural Networks, Dimensionality Reduction, Data Analysis
Beginner · Course · 1 - 3 Months
National Taiwan University
Operations Research (1): Models and Applications
Skills you'll gain: Operations Research, Mathematical Modeling, Process Optimization, Business Mathematics, Applied Mathematics, Business Modeling, Industrial Engineering, Business Operations, Operations Management, Resource Allocation, Business Analytics, Production Planning, Inventory Management System, Case Studies, Microsoft Excel, Scheduling, Linear Algebra, Decision Making, Portfolio Management, Algorithms
4.8
Rating, 4.8 out of 5 stars
560 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: Free Trial
University of Minnesota
Optimization for Decision Making
Skills you'll gain: Operations Research, Mathematical Modeling, Business Modeling, Business Analytics, Analytics, Business Mathematics, Process Optimization, Data-Driven Decision-Making, Microsoft Excel, Solution Design, Decision Making, Linear Algebra, Resource Allocation, Graphing
4.8
Rating, 4.8 out of 5 stars
79 reviews
Beginner · 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, Machine Learning Algorithms, Data Science, 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
National Taiwan University
Operations Research (2): Optimization Algorithms
Skills you'll gain: Operations Research, Linear Algebra, Applied Mathematics, Algorithms, Process Optimization, Program Implementation, Computational Thinking, Operational Analysis, Mathematical Modeling, Decision Making, Business Analytics
4.9
Rating, 4.9 out of 5 stars
155 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
University of California San Diego
Advanced Algorithms and Complexity
Skills you'll gain: Algorithms, Network Routing, Network Model, Graph Theory, Operations Research, Theoretical Computer Science, Network Analysis, Data Structures, Computational Thinking, Linear Algebra, Computer Science, Big Data, Python Programming, Probability & Statistics
4.6
Rating, 4.6 out of 5 stars
698 reviews
Advanced · Course · 1 - 3 Months
Status: Free Trial
Johns Hopkins University
Linear Algebra from Elementary to Advanced
Skills you'll gain: Linear Algebra, Algebra, Applied Mathematics, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Advanced Mathematics, Engineering Analysis, Mathematical Theory & Analysis, Numerical Analysis, Geometry, Graph Theory, Applied Machine Learning, Markov Model, Probability
4.7
Rating, 4.7 out of 5 stars
197 reviews
Beginner · Specialization · 3 - 6 Months