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Cours en Informatique

Les cours en informatique peuvent vous aider à comprendre les algorithmes, les systèmes informatiques, les données et les principaux concepts liés au développement logiciel. Vous pouvez développer des compétences en raisonnement logique, modélisation, architecture et analyse. De nombreux cours utilisent des exemples concrets pour illustrer les principes fondamentaux.


Cours et certificats populaires en Informatique


  • Status: New
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    U

    University of Illinois Urbana-Champaign

    Understanding Food Regulations & Food Labeling

    Skills you'll gain: Good Manufacturing Practices, Nutrition and Diet, Regulatory Affairs, Safety Standards

    4.2
    Rating, 4.2 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

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    P

    Pearson

    Data Science Fundamentals Part 1: Unit 2

    Skills you'll gain: Extract, Transform, Load, Data Transformation, Data Integration, Web Scraping, Data Pipelines, JSON, Object Oriented Programming (OOP), Extensible Markup Language (XML), Data Modeling, Application Programming Interface (API), Relational Databases

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    M

    MathWorks

    Data Science Project: MATLAB for the Real World

    Skills you'll gain: Data Storytelling, Feature Engineering, Data Visualization, Exploratory Data Analysis, Applied Machine Learning, Statistical Reporting, Data Science, Machine Learning, Data Analysis, Matlab, Data Processing, Technical Communication, Predictive Modeling, Data Manipulation, Data Cleansing, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
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    25 reviews

    Intermediate · Course · 1 - 4 Weeks

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    U

    University of Maryland, College Park

    Product Management: Data Science and Agile Systems

    Skills you'll gain: Product Roadmaps, Agile Product Development, Backlogs, DevOps, Lean Methodologies, Analytics, Agile Methodology, Agile Project Management, Data-Driven Decision-Making, Product Management, Operational Efficiency, Risk Management, Data Science, Product Development, Innovation, Product Strategy

    Intermediate · Course · 1 - 3 Months

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    K

    Korea Advanced Institute of Science and Technology(KAIST)

    Applied Math for Materials Science and Engineering

    Skills you'll gain: Integral Calculus, Calculus, Advanced Mathematics, Materials science, Applied Mathematics, Mathematical Theory & Analysis, Engineering Analysis, Mathematical Modeling, Differential Equations, Derivatives

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    D

    Deep Teaching Solutions

    Rethinking Logic: Surprising Science of Critical Thinking

    Skills you'll gain: Critical Thinking, Curiosity, Deductive Reasoning, Independent Thinking, Open Mindset, Complex Problem Solving, Lifelong Learning, Growth Mindedness, Willingness To Learn, Systems Thinking, Cognitive flexibility, Decision Making, Social Sciences, Behavioral Economics, Scientific Methods

    4.9
    Rating, 4.9 out of 5 stars
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    43 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    D

    Dartmouth College

    Question Reality! Science, philosophy, a search for meaning

    Skills you'll gain: Scientific Methods, Logical Reasoning, General Science and Research, Physics, Physical Science, Artificial Intelligence, Computational Thinking, Experimentation, Simulations, Computer Science, Psychology, Science and Research, Ancient History, Vibrations, Mechanics, Chemistry, Laboratory Equipment, Research, World History, Qualitative Research

    4.7
    Rating, 4.7 out of 5 stars
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    39 reviews

    Beginner · Specialization · 1 - 3 Months

  • 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
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    P

    Pearson

    Data Science Fundamentals Part 2: Unit 1

    Skills you'll gain: Exploratory Data Analysis, Matplotlib, Box Plots, Data Analysis, Data Visualization, Descriptive Statistics, Scatter Plots, Data Visualization Software, Histogram, Seaborn, Statistical Analysis, Correlation Analysis, Statistical Methods

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Manchester

    Protecting the World: Introducing Corrosion Science and Engineering

    Skills you'll gain: Chemical Engineering, Oil and Gas, Environmental Engineering, Process Engineering, Materials science, Engineering, Engineering Design Process, Failure Analysis, Industrial Design, Engineering Calculations, Chemistry, Environmental Issue, Laboratory Testing

    4.6
    Rating, 4.6 out of 5 stars
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    946 reviews

    Intermediate · 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: New
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    F

    Fred Hutchinson Cancer Center

    Enhancing Reproducible Science with GitHub and Docker

    Skills you'll gain: Code Review, Version Control, GitHub, Package and Software Management, CI/CD, Continuous Integration, Open Source Technology, Development Environment, Continuous Deployment, Software Development Tools, Docker (Software), Containerization, Scientific Methods, Devops Tools, Data Sharing, Key Management, Git (Version Control System), Automation, Software Documentation, Technical Documentation

    Beginner · Specialization · 3 - 6 Months

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In summary, here are 10 of our most popular computer science courses

  • Understanding Food Regulations & Food Labeling: University of Illinois Urbana-Champaign
  • Data Science Fundamentals Part 1: Unit 2: Pearson
  • Data Science Project: MATLAB for the Real World: MathWorks
  • Product Management: Data Science and Agile Systems: University of Maryland, College Park
  • Applied Math for Materials Science and Engineering: Korea Advanced Institute of Science and Technology(KAIST)
  • Rethinking Logic: Surprising Science of Critical Thinking: Deep Teaching Solutions
  • Question Reality! Science, philosophy, a search for meaning: Dartmouth College
  • Data Science Fundamentals Part 2: Unit 2: Pearson
  • Data Science Fundamentals Part 2: Unit 1: Pearson
  • Protecting the World: Introducing Corrosion Science and Engineering: University of Manchester

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