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: 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
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
187 reviews
Beginner · Specialization · 3 - 6 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, Reinforcement Learning, Regression Analysis, Deep Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Generative AI Agents, Image Analysis, Data Manipulation, Natural Language Processing, Tensorflow, Machine Learning, Python Programming, Data Science
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
20K reviews
Intermediate · Professional Certificate · 3 - 6 Months

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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
153 reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
Google
Google Advanced Data Analytics
Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Statistical Hypothesis Testing, Data Ethics, Data Visualization Software, Sampling (Statistics), Data Presentation, Regression Analysis, Feature Engineering, Data Transformation, Descriptive Statistics, Data Analysis, Statistical Analysis, Data Visualization, Tableau Software, Object Oriented Programming (OOP), Data Science, Python Programming, Interviewing Skills, Machine Learning
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
6.8K reviews
Advanced · Professional Certificate · 3 - 6 Months
Status: Free Trial
Meta
Programming with JavaScript
Skills you'll gain: Jest (JavaScript Testing Framework), Web Development Tools, Javascript, Unit Testing, Web Applications, Object Oriented Programming (OOP), Node.JS, JSON, Computer Programming, Data Structures, Debugging, Package and Software Management, Front-End Web Development, Functional Design
4.7
Rating, 4.7 out of 5 stars
4.7K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Meta
Programming in Python
Skills you'll gain: Object Oriented Programming (OOP), Unit Testing, Test Driven Development (TDD), Programming Principles, Software Testing, Data Structures, Python Programming, Computer Programming, Development Environment, Integrated Development Environments, Debugging, Django (Web Framework), Cloud Hosting
4.6
Rating, 4.6 out of 5 stars
1.7K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Duke University
Introductory C Programming
Skills you'll gain: Debugging, Maintainability, Programming Principles, Algorithms, Software Testing, Program Development, C (Programming Language), Pseudocode, Computational Thinking, Simulations, System Programming, Computer Programming, Data Structures, Software Development, Software Engineering, Command-Line Interface, Operating Systems, Development Environment, Problem Solving, Software Design
4.6
Rating, 4.6 out of 5 stars
7.3K reviews
Beginner · Specialization · 3 - 6 Months
Status: New
Status: Free Trial
Meta
Meta Full-Stack Developer
Skills you'll gain: Jest (JavaScript Testing Framework), Django (Web Framework), Version Control, Restful API, Responsive Web Design, Unix Commands, HTML and CSS, Git (Version Control System), GitHub, Relational Databases, Object Oriented Programming (OOP), Database Management Systems, Bootstrap (Front-End Framework), React.js, Mobile Development, SQL, Database Design, API Design, Linux Commands, Python Programming
4.7
Rating, 4.7 out of 5 stars
24K reviews
Beginner · Specialization · 3 - 6 Months