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  • English For Science Technology Engineering And Mathematics

Results for "english for science, technology, engineering, and mathematics"


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    T

    Technion - Israel Institute of Technology

    التقانة والمستشعرات النانوية - الجزء الثاني

    Skills you'll gain: Materials science, Semiconductors, Technology Solutions, Medical Devices, Emerging Technologies, Biotechnology, Electronics Engineering, Biomedical Engineering, Electronics, Chemistry, Chemical Engineering, Analytical Chemistry, Engineering Design Process, Manufacturing Processes

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Aprendiendo Python con textos, números y ecuaciones

    Skills you'll gain: Program Development, Python Programming, Jupyter, Algorithms, Engineering Calculations, Computer Programming, Mathematical Modeling, Linear Algebra, Applied Mathematics

    4.8
    Rating, 4.8 out of 5 stars
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    36 reviews

    Beginner · Guided Project · Less Than 2 Hours

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    U

    Universidad Autónoma Metropolitana

    Reading and Comprehension of Text in English Module 2

    Skills you'll gain: Vocabulary, English Language, Grammar, Graphing, Writing, Language Learning

    3.8
    Rating, 3.8 out of 5 stars
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    13 reviews

    Intermediate · Course · 1 - 3 Months

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    I

    Institut Mines-Télécom

    Promote your Scientific Results

    Skills you'll gain: Oral Expression, Concision, Verbal Communication Skills, Public Speaking, Media and Communications, Interviewing Skills, Public Relations, Communication, Research, Persuasive Communication, Communication Strategies, Interpersonal Communications, Rapport Building, General Networking

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Introduction to Discrete Mathematics for Computer Science

    Skills you'll gain: Graph Theory, Logical Reasoning, Cryptographic Protocols, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Key Management, Computational Thinking, Encryption, Probability Distribution, Network Analysis, Public Key Cryptography Standards (PKCS), Theoretical Computer Science, Bayesian Statistics, Python Programming, Data Structures, Algorithms, Arithmetic

    4.5
    Rating, 4.5 out of 5 stars
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    3.7K reviews

    Beginner · Specialization · 3 - 6 Months

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    J

    Johns Hopkins University

    Foundational Mathematics for AI

    Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Bayesian Statistics, Statistics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Probability, Regression Analysis, Calculus, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Integral Calculus, Algebra, Machine Learning Algorithms

    4.9
    Rating, 4.9 out of 5 stars
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    10 reviews

    Beginner · 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
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    15K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of London

    Mathematics for Computer Science

    Skills you'll gain: Arithmetic, Computer Graphics, Computational Thinking, General Mathematics, Systems Of Measurement, Algebra, Cryptography

    4.2
    Rating, 4.2 out of 5 stars
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    266 reviews

    Beginner · Course · 1 - 4 Weeks

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    S

    Shanghai Jiao Tong University

    Discrete Mathematics

    Skills you'll gain: Combinatorics, Graph Theory, Theoretical Computer Science, Mathematical Theory & Analysis, Advanced Mathematics, Network Analysis, Computational Thinking, Algorithms, Data Structures, Computer Science

    3.3
    Rating, 3.3 out of 5 stars
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    201 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning: Linear Algebra

    Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Machine Learning Algorithms, Data Science, Algorithms, Data Manipulation, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
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    12K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Birla Institute of Technology & Science, Pilani

    Discrete Mathematics for Computer Science and Engineering

    Skills you'll gain: Theoretical Computer Science, Programming Principles, Cryptography, Algorithms, Applied Mathematics, Probability & Statistics, Data Management

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Mathematics for Machine Learning and Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Machine Learning, Machine Learning Methods, Data Transformation

    4.6
    Rating, 4.6 out of 5 stars
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    3.1K reviews

    Intermediate · Specialization · 1 - 3 Months

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In summary, here are 10 of our most popular english for science, technology, engineering, and mathematics courses

  • التقانة والمستشعرات النانوية - الجزء الثاني: Technion - Israel Institute of Technology
  • Aprendiendo Python con textos, números y ecuaciones: Coursera
  • Reading and Comprehension of Text in English Module 2: Universidad Autónoma Metropolitana
  • Promote your Scientific Results: Institut Mines-Télécom
  • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
  • Foundational Mathematics for AI: Johns Hopkins University
  • Mathematics for Machine Learning: Imperial College London
  • Mathematics for Computer Science: University of London
  • Discrete Mathematics: Shanghai Jiao Tong University
  • Mathematics for Machine Learning: Linear Algebra: Imperial College London

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