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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

    • C

      Coursera Project Network

      ML Parameters Optimization: GridSearch, Bayesian, Random

      Skills you'll gain: Scikit Learn (Machine Learning Library), Regression Analysis, Performance Tuning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Bayesian Statistics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      Unilever

      Unilever Digital Marketing Analyst

      Skills you'll gain: Data Storytelling, Marketing Automation, Web Analytics, Marketing Effectiveness, Marketing Analytics, Customer Insights, Digital Marketing, Social Media Campaigns, Market Analysis, Google Analytics, Social Media Marketing, Customer Analysis, Search Engine Marketing, Marketing Strategies, Social Media Strategy, Customer experience strategy (CX), Performance Reporting, Search Engine Optimization, Predictive Analytics, MarTech

      4.7
      Rating, 4.7 out of 5 stars
      ·
      229 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free
      Free
      U

      Universidad Austral

      Fundamentos de Excel para Negocios

      Skills you'll gain: Microsoft Excel, Spreadsheet Software, Excel Formulas, Data Visualization, Data Import/Export, Data Entry, Productivity Software, Presentations, Financial Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.2K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      S

      Simplilearn

      Search Engine Optimization

      Skills you'll gain: Search Engine Optimization, Web Analytics and SEO, Google Ads, Google Analytics, Keyword Research, Digital Marketing, Information Architecture, Content Strategy, Content Creation, User Experience

      Beginner · Course · 1 - 4 Weeks

    • U

      University of California, Irvine

      Leverage Data Science for a More Agile Supply Chain

      Skills you'll gain: Supply Chain Planning, Demand Planning, Customer Demand Planning, Inventory Management System, Inventory Control, Supply Chain Management, Capacity Planning, Materials Management, Process Optimization, Forecasting, Operations Management, Resource Allocation, Service Level, Capacity Management, Performance Measurement, Microsoft Excel, Data-Driven Decision-Making, Statistical Methods, Cost Reduction, Simulation and Simulation Software

      4.5
      Rating, 4.5 out of 5 stars
      ·
      416 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: New AI skills
      New AI skills
      G

      Google

      Google Digital Marketing & E-commerce

      Skills you'll gain: Media Planning, Search Engine Marketing, Email Marketing, Data Storytelling, Social Media Strategy, Search Engine Optimization, Social Media Marketing, Content Creation, Order Fulfillment, Google Ads, Online Advertising, A/B Testing, Social Media Campaigns, Digital Advertising, Target Audience, Digital Marketing, E-Commerce, Loyalty Programs, Customer Retention, Campaign Management

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      39K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • V

      Vanderbilt University

      Generative AI for Educators & Teachers

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Ideation, Verification And Validation, Data Validation, Creative Problem-Solving, AI Personalization, Data Synthesis, Image Analysis, Data Capture, Innovation, Brainstorming, OpenAI, Game Design, Data Analysis, Organizational Skills, Artificial Intelligence, Risk Management Framework, Education Software and Technology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.4K reviews

      Beginner · Specialization · 1 - 3 Months

    • U

      University of Pennsylvania

      Fintech: Foundations & Applications of Financial Technology

      Skills you'll gain: FinTech, Portfolio Management, Consumer Lending, Return On Investment, Blockchain, Cryptography, Credit/Debit Card Processing, Digital Assets, Financial Services, Payment Processing, Investments, Lending and Underwriting, Investment Management, Technology Strategies, Emerging Technologies, Risk Analysis, Fundraising and Crowdsourcing, Financial Market, Market Analysis, Artificial Intelligence and Machine Learning (AI/ML)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of California, Davis

      Introduction to Google SEO

      Skills you'll gain: Search Engine Optimization, Web Analytics and SEO, Target Audience, Keyword Research, Consumer Behaviour, Google Analytics, Marketing, Digital Marketing, User Research, Content Strategy, Web Content

      4.6
      Rating, 4.6 out of 5 stars
      ·
      10K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      I

      IBM

      Generative AI for Digital Marketing

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI, Digital Advertising, Email Marketing, OpenAI, Digital Marketing, Marketing Automation, AI Personalization, Marketing Analytics, Advertising Campaigns, Marketing, Marketing Strategies, Content Creation, Keyword Research, Search Engine Optimization, Large Language Modeling, Artificial Intelligence, Copywriting, Image Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.2K reviews

      Beginner · Specialization · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Accelerated Computer Science Fundamentals

      Skills you'll gain: C++ (Programming Language), Data Structures, Object Oriented Programming (OOP), Object Oriented Design, Graph Theory, Development Environment, Engineering Software, Computer Programming, Software Engineering, Algorithms, Debugging, Program Development, Database Systems, Database Theory, Network Routing, Theoretical Computer Science, Data Storage

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Intermediate · Specialization · 1 - 3 Months

    • M

      Meta

      Meta Marketing Science Certification Prep

      Skills you'll gain: Marketing Analytics, Bayesian Statistics, Descriptive Statistics, Marketing Effectiveness, Statistical Hypothesis Testing, A/B Testing, Target Audience, Marketing Strategies, Marketing Planning, Statistical Inference, Sampling (Statistics), Data Collection, Data Modeling, Statistics, Advertising Campaigns, Campaign Management, Marketing, Analytics, Google Analytics, Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    Optimization learners also search

    Mathematical Optimization
    Discrete Optimization
    Convex Optimization
    Performance Management
    Systems Engineering
    Computing
    A/B Testing
    Parallel Programming
    1…456…55

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

    • ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera Project Network
    • Unilever Digital Marketing Analyst: Unilever
    • Fundamentos de Excel para Negocios: Universidad Austral
    • Search Engine Optimization: Simplilearn
    • Leverage Data Science for a More Agile Supply Chain: University of California, Irvine
    • Google Digital Marketing & E-commerce: Google
    • Generative AI for Educators & Teachers: Vanderbilt University
    • Fintech: Foundations & Applications of Financial Technology: University of Pennsylvania
    • Introduction to Google SEO: University of California, Davis
    • Generative AI for Digital Marketing: IBM

    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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