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Results for "computer science"


  • Status: Free Trial
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    D

    Duke University

    Programming for Python Data Science: Principles to Practice

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

    4
    Rating, 4 out of 5 stars
    ·
    89 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistical Estimation for Data Science and AI

    Skills you'll gain: Statistical Inference, Statistical Methods, Statistics, Probability & Statistics, Data Literacy, Statistical Analysis, Sampling (Statistics), Applied Mathematics, Theoretical Computer Science, Probability Distribution, Artificial Intelligence

    Build toward a degree

    4.1
    Rating, 4.1 out of 5 stars
    ·
    88 reviews

    Intermediate · Course · 1 - 3 Months

  • 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
    ·
    531 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Data Science with NumPy, Sets, and Dictionaries

    Skills you'll gain: NumPy, Data Structures, Data Analysis, Object Oriented Programming (OOP), Image Analysis, Data Processing, Data Science, Data Manipulation, Big Data, Performance Tuning, Python Programming

    3.9
    Rating, 3.9 out of 5 stars
    ·
    19 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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, Data Ethics, Sampling (Statistics), Probability & Statistics, Statistical Inference, A/B Testing, Quantitative Research

    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, 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
    B

    Birla Institute of Technology & Science, Pilani

    Formal Languages and Applications

    Skills you'll gain: Theoretical Computer Science, Computer Programming, Algorithms, Computer Science, Formal Learning, Software Engineering, Program Development, Text Mining, Data Science, Analysis, Machine Learning Methods, Debugging, Technical Analysis

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Coding Interview Preparation

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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    760 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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
    C

    Codio

    C++ Basics: Selection and Iteration

    Skills you'll gain: Programming Principles, C++ (Programming Language), C and C++, Computer Programming, Integrated Development Environments, Computer Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    961 reviews

    Beginner · Course · 1 - 4 Weeks

Searches related to computer science

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

  • Programming for Python Data Science: Principles to Practice: Duke University
  • Statistical Estimation for Data Science and AI: University of Colorado Boulder
  • Build a Modern Computer from First Principles: Nand to Tetris Part II (project-centered course): Hebrew University of Jerusalem
  • Data Science with NumPy, Sets, and Dictionaries: Duke University
  • 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
  • Formal Languages and Applications: Birla Institute of Technology & Science, Pilani
  • Coding Interview Preparation: Meta

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