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

University of Colorado Boulder
Approximation Algorithms and Linear Programming
Skills you'll gain: Operations Research, Algorithms, Network Model, Linear Algebra, Combinatorics, Computational Thinking, Mathematical Modeling, Theoretical Computer Science, Computer Programming, Python Programming
Build toward a degree
4.9
Rating, 4.9 out of 5 stars
43 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, Business Modeling, Complex Problem Solving, Spreadsheet Software
Intermediate · Course · 1 - 4 Weeks
Imperial College London
Mathematics for Machine Learning: Linear Algebra
Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Data Transformation, Data Science, 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
National Taiwan University
Operations Research (1): Models and Applications
Skills you'll gain: Operations Research, Mathematical Modeling, Process Optimization, Applied Mathematics, Business Modeling, Industrial Engineering, Operations Management, Inventory Control, Resource Allocation, Business Analytics, Production Planning, Microsoft Excel, Scheduling, Linear Algebra, Decision Making, Portfolio Management, Complex Problem Solving
4.8
Rating, 4.8 out of 5 stars
520 reviews
Beginner · Course · 1 - 3 Months
Status: Free
The University of Melbourne
Discrete Optimization
Skills you'll gain: Operations Research, Combinatorics, Applied Mathematics, Graph Theory, Algorithms, Mathematical Modeling, Computational Thinking, Linear Algebra, Computer Programming, Program Development
4.8
Rating, 4.8 out of 5 stars
770 reviews
Intermediate · Course · 1 - 3 Months
Status: Free
National Taiwan University
Operations Research (2): Optimization Algorithms
Skills you'll gain: Operations Research, Linear Algebra, Numerical Analysis, Applied Mathematics, Algorithms, Process Optimization, Engineering Calculations, Program Implementation, Mathematical Software, Computational Thinking, Mathematical Modeling, Algebra, Resource Allocation, Facility Management, Calculus
4.8
Rating, 4.8 out of 5 stars
145 reviews
Intermediate · Course · 1 - 3 Months
Johns Hopkins University
R Programming
Skills you'll gain: Statistical Analysis, R Programming, Statistical Programming, Data Analysis, Debugging, Simulations, Program Development, Software Installation, Computer Programming, Data Structures, Performance Tuning, Data Import/Export
4.5
Rating, 4.5 out of 5 stars
22K reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free
École normale supérieure
Approximation Algorithms Part I
Skills you'll gain: Theoretical Computer Science, Combinatorics, Algorithms, Graph Theory, Computational Thinking, Operations Research, Mathematical Modeling, Probability
4.7
Rating, 4.7 out of 5 stars
554 reviews
Mixed · Course · 1 - 3 Months
Duke University
Linear Regression and Modeling
Skills you'll gain: Regression Analysis, Statistical Software, Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Data Analysis, Statistical Methods, Exploratory Data Analysis, Predictive Modeling
4.8
Rating, 4.8 out of 5 stars
1.7K reviews
Beginner · Course · 1 - 4 Weeks
University of California San Diego
Data Structures and Algorithms
Skills you'll gain: Data Structures, Graph Theory, Algorithms, Network Routing, Debugging, Network Model, Bioinformatics, Advanced Mathematics, Operations Research, Data Storage, Development Testing, Software Testing, Theoretical Computer Science, Computational Thinking, Network Analysis, Programming Principles, Computer Programming, Epidemiology, C++ (Programming Language), Infectious Diseases
4.6
Rating, 4.6 out of 5 stars
17K reviews
Intermediate · Specialization · 3 - 6 Months
The University of Sydney
Introduction to Linear Algebra
Skills you'll gain: Linear Algebra, Markov Model, Geometry, Arithmetic, Algebra, General Mathematics, Advanced Mathematics, Probability, Mathematics and Mathematical Modeling, Mathematical Theory & Analysis, Applied Mathematics, Statistical Methods, Engineering Analysis
4.9
Rating, 4.9 out of 5 stars
27 reviews
Intermediate · Course · 1 - 4 Weeks
University of Pennsylvania
Introduction to Programming with Python and Java
Skills you'll gain: Matplotlib, Object Oriented Design, Java, Object Oriented Programming (OOP), Data Analysis, Unit Testing, Pandas (Python Package), Java Programming, Eclipse (Software), Data Structures, Data Science, Data Cleansing, Debugging, Pivot Tables And Charts, Data Visualization Software, Integrated Development Environments, Programming Principles, Python Programming, Computer Programming, Computational Thinking
4.5
Rating, 4.5 out of 5 stars
1.8K reviews
Beginner · Specialization · 3 - 6 Months