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    • Dynamic Programming

    Dynamic Programming Courses Online

    Master dynamic programming techniques for solving complex problems. Learn to break down problems into simpler subproblems for efficient solutions.

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    Explore the Dynamic Programming Course Catalog

    • Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Project Planning and Execution Management

      Skills you'll gain: Project Schedules, Earned Value Management, Risk Analysis, Cost Estimation, Scheduling, Cost Management, Project Management, Project Planning, Project Estimation, Resource Allocation, Risk Mitigation, Resource Management, Timelines, Risk Management, Budgeting, Project Performance, Dependency Analysis

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science Decisions in Time: Using Data Effectively

      Skills you'll gain: Reinforcement Learning, Data-Driven Decision-Making, Markov Model, Time Series Analysis and Forecasting, Bayesian Statistics, Data Science, Anomaly Detection, Probability Distribution, Machine Learning Methods, Statistical Analysis, Sampling (Statistics)

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      N

      Northeastern University

      Foundations of Statistical Learning & Algorithms

      Skills you'll gain: Linear Algebra, Statistical Machine Learning, Statistical Modeling, Probability, Statistical Methods, Bayesian Statistics, Probability Distribution, Mathematical Modeling, Machine Learning, Applied Mathematics, Statistical Inference, Algebra

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      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, Computer Science, Probability & Statistics, Probability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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, Machine Learning, Bayesian Statistics, Data Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University at Buffalo

      Data-Driven Process Improvement

      Skills you'll gain: Process Mapping, Data Collection, Business Process Improvement, Data Strategy, Process Analysis, Data-Driven Decision-Making, Performance Measurement, Process Flow Diagrams, Business Analytics, Operational Performance Management, Gap Analysis, Key Performance Indicators (KPIs), Internet Of Things, Data Integrity

      4.7
      Rating, 4.7 out of 5 stars
      ·
      239 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Effective Problem-Solving and Decision-Making

      Skills you'll gain: Creative Problem-Solving, Problem Solving, Decision Making, Creativity, Organizational Effectiveness, Critical Thinking and Problem Solving, Strategic Decision-Making, Business Solutions, Key Performance Indicators (KPIs), Professional Development, Root Cause Analysis, Personal Development, Critical Thinking, Adaptability, Analysis, Analytical Skills

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7.4K reviews

      Beginner · Course · 1 - 4 Weeks

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    In summary, here are 7 of our most popular dynamic programming courses

    • Project Planning and Execution Management: L&T EduTech
    • Data Science Decisions in Time: Using Data Effectively: Johns Hopkins University
    • Foundations of Statistical Learning & Algorithms: Northeastern University
    • Divide and Conquer, Sorting and Searching, and Randomized Algorithms: Stanford University
    • ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera Project Network
    • Data-Driven Process Improvement: University at Buffalo
    • Effective Problem-Solving and Decision-Making: University of California, Irvine

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