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Computational Science Courses

Computational Science courses can help you learn numerical analysis, simulation techniques, and data visualization. You can build skills in algorithm development, statistical modeling, and high-performance computing. Many courses introduce tools like Python, MATLAB, and R, that support implementing simulations and analyzing large datasets. You'll also explore key topics such as parallel computing, machine learning applications, and optimization methods, allowing you to tackle complex scientific problems and enhance your analytical capabilities.


Popular Computational Science Courses and Certifications


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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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    U

    University of Colorado Boulder

    Expressway to Data Science: R Programming and Tidyverse

    Skills you'll gain: Tidyverse (R Package), Rmarkdown, R Programming, Ggplot2, Data Import/Export, Data Visualization, Statistical Visualization, Data Manipulation, Data Visualization Software, Data Analysis, Data Science, Data Storytelling, Statistical Analysis, Relational Databases, Data Cleansing, Data Transformation, Statistical Programming, Data Integration, Data Wrangling, Communication

    4.1
    Rating, 4.1 out of 5 stars
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    54 reviews

    Beginner · Specialization · 1 - 3 Months

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    R

    Rutgers the State University of New Jersey

    Rutgers MBS: Introduction to Personal Care Science

    Skills you'll gain: Manufacturing Processes, Product Testing, Regulatory Compliance, Personal Care, Product Development, Laboratory Testing, Workforce Development, Packaging and Labeling, New Product Development, Clinical Trials, Quality Control, Entrepreneurship, Consumer Behaviour, Chemistry, Business

    Beginner · Course · 1 - 3 Months

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    P

    Pearson

    Data Science Fundamentals Part 1: Unit 3

    Skills you'll gain: Data Validation, Extract, Transform, Load, Object-Relational Mapping, Data Cleansing, Data Manipulation, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Database Management, Data Transformation, Data Integrity, Relational Databases, Exploratory Data Analysis, Databases, Data Processing, SQL, Data Analysis, Data Storage Technologies

    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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    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

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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

  • 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

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    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

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    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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    945 reviews

    Intermediate · Course · 1 - 4 Weeks

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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

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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

Searches related to computational science

computational social science
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1…353637…746

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

  • Applied Math for Materials Science and Engineering: Korea Advanced Institute of Science and Technology(KAIST)
  • Expressway to Data Science: R Programming and Tidyverse: University of Colorado Boulder
  • Rutgers MBS: Introduction to Personal Care Science: Rutgers the State University of New Jersey
  • Data Science Fundamentals Part 1: Unit 3: Pearson
  • Data Science Project: MATLAB for the Real World: MathWorks
  • Data Science Fundamentals Part 2: Unit 3: Pearson
  • Enhancing Reproducible Science with GitHub and Docker: Fred Hutchinson Cancer Center
  • Master of Science in Information Systems: Northeastern University
  • Data Science Fundamentals Part 2: Unit 1: Pearson
  • Protecting the World: Introducing Corrosion Science and Engineering: University of Manchester

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