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  • Complexity Science

Results for "complexity science"


  • Status: New
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    P

    Pearson

    Data Science Fundamentals Part 2: Unit 2

    Skills you'll gain: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals Part 2: Unit 3

    Skills you'll gain: Predictive Modeling, Statistical Modeling, Predictive Analytics, Regression Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Statistical Inference, Business Analytics, Data Analysis, Statistical Analysis, Probability Distribution, Estimation, Supervised Learning, Machine Learning, Performance Metric

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
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    U

    University of Pittsburgh

    Linear Algebra and Regression Fundamentals for Data Science

    Skills you'll gain: NumPy, Matplotlib, Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning

    Build toward a degree

    Beginner · Course · 1 - 4 Weeks

  • N

    Northeastern University

    Master of Science in Information Systems

    Skills you'll gain: Database Design, Enterprise Architecture, Data Governance, Database Theory, User Research, Stakeholder Engagement, Lean Methodologies, Algorithms, Database Management, Process Mapping, Unified Modeling Language, Process Analysis, Object Oriented Design, Software Architecture, Responsive Web Design, Cascading Style Sheets (CSS), Agile Methodology, Object Oriented Programming (OOP), Data Structures, Data Ethics

    Earn a degree

    Degree · 1 - 4 Years

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Positive Psychology: Martin E. P. Seligman’s Visionary Science

    Skills you'll gain: Optimism, Personal Development, Resilience, Positive Behavior Support, Psychology, Working With Children, Education and Training, Research, Visionary, Human Development, Creativity

    4.9
    Rating, 4.9 out of 5 stars
    ·
    6.3K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    C

    Coursera

    Ace the Computer Science Interview: Strategies for Success

    Skills you'll gain: Verbal Communication Skills, Communication, Critical Thinking, Problem Solving, Composure, Interpersonal Communications, Computer Programming, Computer Science, Planning, Complex Problem Solving, Algorithms, Data Structures, Stress Management, Adaptability

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    P

    Politecnico di Milano

    Being a researcher (in Information Science and Technology)

    Skills you'll gain: Research, Scientific Methods, Data Ethics, Ethical Standards And Conduct, Informed Consent, Innovation, Technical Writing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    200 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
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    U

    University of London

    Foundations of Data Science: K-Means Clustering in Python

    Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Machine Learning, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
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    732 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Integral Calculus and Numerical Analysis for Data Science

    Skills you'll gain: Integral Calculus, Numerical Analysis, Calculus, Data Science, Mathematical Theory & Analysis, Applied Mathematics, Linear Algebra, Derivatives

    4.6
    Rating, 4.6 out of 5 stars
    ·
    107 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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, Predictive Analytics, Anomaly Detection, Probability Distribution, Machine Learning Methods, Statistical Analysis, A/B Testing, Sampling (Statistics)

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Amsterdam

    Teaching in University Science Laboratories (Developing Best Practice)

    Skills you'll gain: Laboratory Experience, Laboratory Techniques, User Feedback, Experimentation, Research

    4.7
    Rating, 4.7 out of 5 stars
    ·
    144 reviews

    Intermediate · Course · 1 - 3 Months

  • H

    H2O.ai

    Data Science and Machine Learning H2O.ai Platforms

    Skills you'll gain: Generative AI, Data Wrangling, Project Planning, Data Governance, Exploratory Data Analysis, Applied Machine Learning, Large Language Modeling, Data Visualization, MLOps (Machine Learning Operations), Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML)

    Intermediate · Course · 1 - 3 Months

Searches related to complexity science

introduction to complexity science
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In summary, here are 10 of our most popular complexity science courses

  • Data Science Fundamentals Part 2: Unit 2: Pearson
  • Data Science Fundamentals Part 2: Unit 3: Pearson
  • Linear Algebra and Regression Fundamentals for Data Science: University of Pittsburgh
  • Master of Science in Information Systems: Northeastern University
  • Positive Psychology: Martin E. P. Seligman’s Visionary Science: University of Pennsylvania
  • Ace the Computer Science Interview: Strategies for Success: Coursera
  • Being a researcher (in Information Science and Technology): Politecnico di Milano
  • Foundations of Data Science: K-Means Clustering in Python: University of London
  • Integral Calculus and Numerical Analysis for Data Science: University of Colorado Boulder
  • Data Science Decisions in Time: Using Data Effectively: Johns Hopkins University

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