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    • Optimization

    Optimization Courses Online

    Master optimization techniques for improving system performance. Learn about linear programming, nonlinear optimization, and heuristic methods.

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    Explore the Optimization Course Catalog

    • Status: Free
      Free

      The Chinese University of Hong Kong

      离散优化建模高阶篇 Advanced Modeling for Discrete Optimization

      Skills you'll gain: Mathematical Modeling, Operations Research, Debugging, Computational Logic, Applied Mathematics, Performance Tuning, Algorithms, Geometry

      4.3
      Rating, 4.3 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New

      Johns Hopkins University

      Distributed Query Optimization and Security

      Skills you'll gain: Database Management, Apache Hadoop, Query Languages, Big Data, Databases, SQL, Data Access, Distributed Computing, Performance Tuning, Data Processing, Data Integrity, Authorization (Computing), Data Storage Technologies, Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • Macquarie University

      Excel Skills for Business: Intermediate II

      Skills you'll gain: Excel Formulas, Microsoft Excel, Excel Macros, Data Validation, Spreadsheet Software, Data Analysis Expressions (DAX), Data Modeling, Financial Forecasting, Predictive Modeling, Financial Modeling, Workflow Management, Data Integrity, Business Modeling, Automation, Process Optimization

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8.3K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free

      The Chinese University of Hong Kong

      离散优化算法篇 Solving Algorithms for Discrete Optimization

      Skills you'll gain: Operations Research, Algorithms, Mathematical Modeling, Performance Tuning, Programming Principles, Theoretical Computer Science, Linear Algebra

      Intermediate · Course · 1 - 4 Weeks

    • 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

    • University of Pennsylvania

      Operations Analytics

      Skills you'll gain: Business Analytics, Descriptive Analytics, Predictive Analytics, Analytics, Demand Planning, Data-Driven Decision-Making, Operational Analysis, Business Operations, Risk Analysis, Forecasting, Operations Management, Simulation and Simulation Software, Process Optimization, Decision Making, Decision Tree Learning, Spreadsheet Software, Microsoft Excel, Probability Distribution

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.1K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free

      Eindhoven University of Technology

      Process Mining: Data science in Action

      Skills you'll gain: Business Process, Process Analysis, Process Improvement, Business Process Management, Data Mining, Process Design, Process Optimization, Data Processing, Operational Analysis, Real Time Data, Data Science, Verification And Validation, Data Validation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free
      Free

      Coursera Instructor Network

      GenAI for Supply Chain Optimization

      Skills you'll gain: Supply Chain Management, Supply Chain Planning, Transportation, Supply Chain, and Logistics, Demand Planning, Operational Efficiency, Inventory Control, Inventory Management System, Logistics Management, Generative AI, Forecasting, Operational Analysis, Business Ethics, Artificial Intelligence, Emerging Technologies

      Beginner · Course · 1 - 4 Weeks

    • Coursera Project Network

      Optimization with Next.js: Build a Product Portfolio Website

      Skills you'll gain: Web Development Tools, React.js, JavaScript Frameworks, Front-End Web Development, HTML and CSS, Performance Tuning, Web Development, Cascading Style Sheets (CSS), Microsoft Visual Studio

      Intermediate · Guided Project · Less Than 2 Hours

    • Stanford University

      Graph Search, Shortest Paths, and Data Structures

      Skills you'll gain: Data Structures, Graph Theory, Algorithms, Network Model, Network Analysis, Computational Thinking, Theoretical Computer Science, Network Routing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Coursera Project Network

      Optimization of SQL query Tuning and Performance

      Skills you'll gain: SQL, Query Languages, Database Design, Performance Tuning, Database Management, Database Development, Databases, Data Access

      3.1
      Rating, 3.1 out of 5 stars
      ·
      27 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • University of California, Davis

      Optimizing a Website for Google Search

      Skills you'll gain: Keyword Research, Search Engine Optimization, Web Analytics and SEO, Client Services, Content Strategy, Competitive Analysis, Google Analytics, Forecasting, Digital Marketing, Expectation Management, Content Marketing, Key Performance Indicators (KPIs), Performance Reporting, Internal Auditing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.6K reviews

      Intermediate · Course · 1 - 4 Weeks

    Optimization learners also search

    Mathematical Optimization
    Discrete Optimization
    Convex Optimization
    Performance Management
    Systems Engineering
    Computing
    A/B Testing
    Parallel Programming
    1…789…56

    In summary, here are 10 of our most popular optimization courses

    • 离散优化建模高阶篇 Advanced Modeling for Discrete Optimization: The Chinese University of Hong Kong
    • Distributed Query Optimization and Security: Johns Hopkins University
    • Excel Skills for Business: Intermediate II: Macquarie University
    • 离散优化算法篇 Solving Algorithms for Discrete Optimization: The Chinese University of Hong Kong
    • Divide and Conquer, Sorting and Searching, and Randomized Algorithms: Stanford University
    • Operations Analytics: University of Pennsylvania
    • Process Mining: Data science in Action: Eindhoven University of Technology
    • GenAI for Supply Chain Optimization: Coursera Instructor Network
    • Optimization with Next.js: Build a Product Portfolio Website: Coursera Project Network
    • Graph Search, Shortest Paths, and Data Structures: Stanford University

    Skills you can learn in Algorithms

    Graphs (22)
    Mathematical Optimization (21)
    Computer Program (20)
    Data Structure (19)
    Problem Solving (19)
    Algebra (12)
    Computer Vision (10)
    Discrete Mathematics (10)
    Graph Theory (10)
    Image Processing (10)
    Linear Algebra (10)
    Reinforcement Learning (10)

    Frequently Asked Questions about Optimization

    Optimization is the act of selecting the best possible option to solve a mathematical problem when choosing from a set of variables. The concept of optimization has existed in mathematics for centuries, but in more recent times, scientists have discovered that other scientific disciplines have common elements, so the idea of optimization has carried over into other areas of study from engineering to economics to physics to biology. Optimization seeks to discover the maximum or minimum of a function to best solve a problem. It involves variables, constraints, and the objective function, or the goal that drives the solution to the problem. For example, in physics, an optimization problem might seek to discover the minimum amount of energy needed to achieve a certain objective. The advent of sophisticated computers has allowed mathematicians to achieve optimization more accurately across a wide range of functions and problems.‎

    Optimization helps data scientists and computer systems process data more effectively, estimate how many resources it will take to solve a problem, and search for the best solution based on the data available. These features make optimization a key tool that can help those who collect and analyze data. The methods of optimization work hand in hand with statistics and linear algebra to help you understand and process large amounts of data. Solving complex problems that rely on data becomes much easier when you apply the methods and formulas of optimization to them, which makes it essential for machine learning. In fact, today's computer science relies heavily on the relationship between machine learning and optimization. The principles of optimization apply in a different way in business, because nearly every business decision centers on maximizing or minimizing various factors and outcomes.‎

    When you study optimization with online courses on Coursera, you can gain a broad base of knowledge as well as applications that allow you to put what you learn into practice. Beginning courses include those in which you learn the basics of optimization, whereas more advanced courses go deeper into topics like stochastic processes, machine learning through specific applications, or how to estimate financial models.‎

    Online Optimization courses offer a convenient and flexible way to enhance your knowledge or learn new Optimization skills. Choose from a wide range of Optimization courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Optimization, 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.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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