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Computer Science Courses

Explore computer science courses on programming, algorithms, and system design. Prepare for roles in software engineering and data analysis.

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Find the best Computer Science course for your goals

  • Status: Preview
    Preview
    H

    Hebrew University of Jerusalem

    Build a Modern Computer from First Principles: Nand to Tetris Part II (project-centered course)

    Skills you'll gain: Computer Science, Computer Engineering, Computer Architecture, Computer Programming, System Programming, Virtual Machines, Operating Systems, Software Architecture, Algorithms, Software Design, Program Development, Object Oriented Programming (OOP), Data Structures, Computer Graphics

    4.9
    Rating, 4.9 out of 5 stars
    ·
    529 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Programming for Python Data Science: Principles to Practice

    Skills you'll gain: Matplotlib, Pandas (Python Package), Data Visualization, Data Cleansing, NumPy, Scientific Visualization, Data Visualization Software, Predictive Analytics, Debugging, Data Manipulation, Regression Analysis, Python Programming, Data Science, Algorithms, Simulations, Microsoft Visual Studio, Object Oriented Programming (OOP), Data Structures, Predictive Modeling, Data Analysis

    3.9
    Rating, 3.9 out of 5 stars
    ·
    84 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Probability Foundations for Data Science and AI

    Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Bayesian Statistics, Data Analysis, Descriptive Statistics, Statistical Inference, Statistical Analysis, Artificial Intelligence

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    257 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Data Science with NumPy, Sets, and Dictionaries

    Skills you'll gain: NumPy, Object Oriented Programming (OOP), Data Structures, Data Science, Data Processing, Big Data, Image Analysis, Data Analysis, Statistical Analysis, Python Programming, Algorithms, Data Management

    3.9
    Rating, 3.9 out of 5 stars
    ·
    19 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistical Estimation for Data Science and AI

    Skills you'll gain: Statistical Methods, Statistical Inference, Probability & Statistics, Sampling (Statistics), Statistical Analysis, Probability Distribution, Descriptive Statistics, Artificial Intelligence

    Build toward a degree

    4.1
    Rating, 4.1 out of 5 stars
    ·
    88 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    U

    University of Colorado Boulder

    Introduction to Bayesian Statistics for Data Science

    Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Statistical Methods, Data Ethics, Data Science, Probability, Regression Analysis, Analytical Skills, Probability Distribution

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistical Inference and Hypothesis Testing in Data Science Applications

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Probability & Statistics, Data Ethics, Statistical Analysis, Quantitative Research, Statistical Inference, Statistics, Sample Size Determination, Sampling (Statistics)

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    50 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning

    Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Machine Learning Algorithms, Machine Learning Methods, Jupyter, Data Science, Advanced Mathematics, Statistics, Statistical Analysis, Artificial Neural Networks, Algorithms, Data Manipulation, Python Programming, Machine Learning, Derivatives

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15K reviews

    Beginner · Specialization · 3 - 6 Months

  • E

    EIT Digital

    Quantitative Formal Modeling and Worst-Case Performance Analysis

    Skills you'll gain: Computational Thinking, Theoretical Computer Science, Mathematical Modeling, Dataflow, Mathematical Theory & Analysis, Systems Analysis, Performance Testing, Embedded Systems, Graph Theory, Technical Communication

    4.4
    Rating, 4.4 out of 5 stars
    ·
    44 reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    B

    Birla Institute of Technology & Science, Pilani

    Algorithm Design: Mastering Computational Problem Solving

    Skills you'll gain: Computer Science, Machine Learning Algorithms, Solution Design, Problem Solving, Mathematical Theory & Analysis, Scalability

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Introduction to Programming with MATLAB

    Skills you'll gain: Matlab, Computer Programming, Programming Principles, Debugging, Mathematical Software, Development Environment, Computer Science, User Interface (UI), File Management, Data Import/Export, Data Structures, Computational Logic, Engineering Calculations, Plot (Graphics), Problem Solving

    4.8
    Rating, 4.8 out of 5 stars
    ·
    18K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Coding Interview Preparation

    Skills you'll gain: Data Structures, Algorithms, Software Visualization, Pseudocode, Programming Principles, Computational Thinking, Computer Science, Technical Communication, Program Development, Communication

    4.6
    Rating, 4.6 out of 5 stars
    ·
    740 reviews

    Intermediate · Course · 1 - 4 Weeks

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1…121314…825

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

  • Build a Modern Computer from First Principles: Nand to Tetris Part II (project-centered course): Hebrew University of Jerusalem
  • Programming for Python Data Science: Principles to Practice: Duke University
  • Probability Foundations for Data Science and AI: University of Colorado Boulder
  • Data Science with NumPy, Sets, and Dictionaries: Duke University
  • Statistical Estimation for Data Science and AI: University of Colorado Boulder
  • Introduction to Bayesian Statistics for Data Science: University of Colorado Boulder
  • Statistical Inference and Hypothesis Testing in Data Science Applications: University of Colorado Boulder
  • Mathematics for Machine Learning: Imperial College London
  • Quantitative Formal Modeling and Worst-Case Performance Analysis: EIT Digital
  • Algorithm Design: Mastering Computational Problem Solving: Birla Institute of Technology & Science, Pilani

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