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 Michigan
Programming for Everybody (Getting Started with Python)
Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Scripting Languages, Scripting, Computational Thinking, Development Environment
4.8
Rating, 4.8 out of 5 stars
231K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Johns Hopkins University
Linear Algebra: Linear Systems and Matrix Equations
Skills you'll gain: Linear Algebra, Algebra, Mathematical Modeling, Engineering Analysis, Applied Mathematics, Mathematical Theory & Analysis, Geometry
4.7
Rating, 4.7 out of 5 stars
138 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Status: New AI skills
Google
Google UX Design
Skills you'll gain: Storyboarding, Wireframing, Responsive Web Design, User Experience Design, Design Thinking, User Research, UI/UX Research, Information Architecture, Figma (Design Software), Usability Testing, Professional Networking, User Story, Web Design, Design Reviews, Usability, Presentations, User Experience, Design Research, Ideation, Interviewing Skills
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
90K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
Johns Hopkins University
Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors
Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Graph Theory, Geometry, Applied Machine Learning, Markov Model, Probability
4.8
Rating, 4.8 out of 5 stars
59 reviews
Mixed · Course · 1 - 3 Months
Status: Free Trial
Google
Google IT Automation with Python
Skills you'll gain: Git (Version Control System), GitHub, Version Control, Cloud Services, Debugging, Puppet (Configuration Management Tool), Infrastructure as Code (IaC), Bash (Scripting Language), Configuration Management, Professional Networking, CI/CD, Cloud Computing, Technical Communication, Docker (Software), Unit Testing, Containerization, Web Services, Interviewing Skills, Python Programming, Programming Principles
4.7
Rating, 4.7 out of 5 stars
48K reviews
Advanced · Professional Certificate · 3 - 6 Months
Status: Free Trial
Johns Hopkins University
Data Science
Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Wrangling, Data Visualization, Plotly, Machine Learning Algorithms, Plot (Graphics), Knitr
4.5
Rating, 4.5 out of 5 stars
51K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Duke University
Programming Fundamentals
Skills you'll gain: Programming Principles, Algorithms, Pseudocode, Computational Thinking, Computer Programming, Data Structures, Software Testing, Debugging
4.7
Rating, 4.7 out of 5 stars
6.9K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Stanford University
Divide and Conquer, Sorting and Searching, and Randomized Algorithms
Skills you'll gain: Algorithms, Graph Theory, Data Structures, Theoretical Computer Science, Computational Thinking, Analysis, Programming Principles, Probability & Statistics, Probability
4.8
Rating, 4.8 out of 5 stars
5.3K reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
IBM
IBM Data Management
Skills you'll gain: Dashboard, Data Storytelling, Data Warehousing, SQL, Data Governance, Data Security, Data Migration, Database Design, Data Literacy, Descriptive Statistics, Extract, Transform, Load, Data Mining, Cloud Storage, Data Visualization Software, Data Store, IBM DB2, Data Management, Relational Databases, MySQL, Excel Formulas
4.7
Rating, 4.7 out of 5 stars
17K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
Duke University
Programming Foundations with JavaScript, HTML and CSS
Skills you'll gain: Hypertext Markup Language (HTML), HTML and CSS, Cascading Style Sheets (CSS), Web Development, Programming Principles, Javascript, Web Design, Computer Programming, Image Analysis, Computational Thinking, Algorithms, Debugging
4.6
Rating, 4.6 out of 5 stars
15K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
IBM
IBM Data Analytics with Excel and R
Skills you'll gain: Data Storytelling, Interactive Data Visualization, Shiny (R Package), Data Wrangling, Exploratory Data Analysis, Relational Databases, Big Data, Data Visualization Software, Ggplot2, Database Design, Data Analysis, IBM Cognos Analytics, Statistical Analysis, Data Presentation, Data Mining, Dashboard, Excel Formulas, Data Manipulation, Web Scraping, Microsoft Excel
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
28K reviews
Beginner · Professional Certificate · 3 - 6 Months
University of California San Diego
Biology Meets Programming: Bioinformatics for Beginners
Skills you'll gain: Bioinformatics, Programming Principles, Molecular Biology, Python Programming, Computational Thinking, Biology, Algorithms, Data Structures
4.2
Rating, 4.2 out of 5 stars
1.6K reviews
Beginner · Course · 1 - 4 Weeks