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Introduction to Optimization Techniques
This course is designed to guide learners through various stages of solving an optimization problem and focuses on providing exposure to building a table of constraints and running the different optimization algorithms to solve the business problems.
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3 Data Cases
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2 Readings
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2 Quizzes
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Difficulty: Intermediate
Foundational knowledge or experience in statistics or analytics is recommended.
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Duration: Approximately 4 hours
Course Overview
- Optimization is one of the types of problems that are often used by analysts for solving real world problems. Some basic optimization techniques that are commonly used are linear programming, mixed integer programming and linear fractional programming.
- When using this technique, the constrains that apply to a situation are linear in nature and the objective function is to be optimized while fulfilling those constraints.
- Learn the basics of optimization problems and how to formulate constraints in both linear and mixed-integer programming.
- Gain practical experience by applying the understanding in several real-world business case scenarios.
What’s included
Flexible Scheduling
Start learning online immediately, at your own pace
Desktop Only
We recommend completing this project on a desktop
Skills You Will Learn
Associated Learning Tracks
Preparing Summarized Constraints Table, Applying Linear Optimization.
Mixed Integer Programming – Additional constraints of some or all variables to be integers in the linear programming, Fractional Programming – objective function to be a ratio of linear expressions in the linear programming.
How it Works
Learn new skills that will boost your career by enrolling in courses across data analytics, data science, ML and AI. These courses will utilize readings, videos, quizzes, data cases, and even coding exercises to teach you skills and concepts in a way that will solidify your new knowledge for hands-on application.
With our hands-on projects, you will take your newly learned skills along with our 750+ low-code/no-code functions and embedded coding console to complete milestone-based projects. Once completed, you will have effectively applied new skills and concepts to real-world data cases that can be translated directly into your career.
Complete assessments and track your progress in real-time to benchmark your proficiency in relation to key functional areas. As you progress through your courses, our patented platform will utilize ML and AI to record and analyze your inputs and output to provide active feedback and recommendations that will help you learn more effectively than the standard Letter Grade system used today.
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Rolai’s patented process provides a personalized learning process for each user. Rolai goes deeper than simply learning concepts and testing your skills. At Rolai, learners can apply their skills to actual industry use cases and projects.
Our courses include readings, videos, quizzes, and hands-on data cases that are completed using our virtual lab; give learners an applied learning experience.
No additional tools are needed to begin learning with Rolai. Our virtual lab contains the necessary data workspace and an embedded coding console.
- We have internal SMEs across industries and domains that we work with to develop relevant content and assure quality datasets and problem statements.
- We also work with enterprises and universities to develop new content directed towards their industry and expertise.
