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  • Introduction To Mathematical Thinking Stanford

Results for "introduction to mathematical thinking stanford"


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    S

    Stanford University

    Introduction to Mathematical Thinking

    Skills you'll gain: Mathematical Theory & Analysis, Mathematics and Mathematical Modeling, Calculus, Deductive Reasoning, Logical Reasoning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3K reviews

    Intermediate · Course · 1 - 3 Months

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    D

    Duke University

    Introduction to Logic and Critical Thinking

    Skills you'll gain: Deductive Reasoning, Critical Thinking, Logical Reasoning, Computational Logic, Analysis, Probability, Sampling (Statistics), Persuasive Communication, Sample Size Determination, Writing, Case Studies, Mathematical Modeling, Scientific Methods, Oral Expression, Correlation Analysis, Communication, Interpersonal Communications, Business Communication, Interactive Learning

    4.6
    Rating, 4.6 out of 5 stars
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    3.6K reviews

    Beginner · Specialization · 3 - 6 Months

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    U

    University of Colorado Boulder

    Foundations of Probability and Statistics

    Skills you'll gain: Probability, Statistical Inference, Markov Model, Estimation, Statistical Methods, Probability & Statistics, Statistics, Probability Distribution, Data Literacy, Statistical Analysis, Bayesian Statistics, Sampling (Statistics), Applied Mathematics, Mathematical Modeling, Statistical Modeling, Data Science, Theoretical Computer Science, Data Analysis, Machine Learning Algorithms, Artificial Intelligence

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    320 reviews

    Intermediate · Specialization · 3 - 6 Months

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    J

    Johns Hopkins University

    Algebra: Elementary to Advanced

    Skills you'll gain: Algebra, Mathematical Modeling, Graphing, Arithmetic, Advanced Mathematics, Applied Mathematics, General Mathematics, Analytical Skills, Probability & Statistics, Geometry

    4.8
    Rating, 4.8 out of 5 stars
    ·
    771 reviews

    Beginner · Specialization · 3 - 6 Months

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    T

    The Hong Kong University of Science and Technology

    Mathematics for Engineers

    Skills you'll gain: Differential Equations, Linear Algebra, Matlab, Engineering Calculations, Engineering Analysis, Numerical Analysis, Finite Element Methods, Integral Calculus, Mathematical Software, Mechanical Engineering, Calculus, Algebra, Applied Mathematics, Mathematical Modeling, Engineering, Simulation and Simulation Software, Advanced Mathematics, Geometry, Computational Thinking, Estimation

    4.8
    Rating, 4.8 out of 5 stars
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    7.6K reviews

    Beginner · Specialization · 3 - 6 Months

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    J

    Johns Hopkins University

    Honors Algebra 2: Series, Trigonometry, and Probability

    Skills you'll gain: Trigonometry, Probability, Data Analysis, Algebra, Probability Distribution, Descriptive Statistics, Mathematical Modeling, Graphing, Statistics, Geometry, Arithmetic

    Beginner · Course · 1 - 4 Weeks

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    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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    B

    Birla Institute of Technology & Science, Pilani

    Mathematics for Engineering

    Skills you'll gain: Engineering Calculations, Data Analysis, Trigonometry, Engineering Analysis, Probability & Statistics, Computational Logic, Statistical Analysis, Linear Algebra, Logical Reasoning, Deductive Reasoning, Calculus, Analytics, Bayesian Statistics, Statistical Modeling, Artificial Intelligence and Machine Learning (AI/ML), Differential Equations, Statistical Inference, Theoretical Computer Science, Programming Principles, Descriptive Analytics

    4.6
    Rating, 4.6 out of 5 stars
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    177 reviews

    Beginner · Specialization · 3 - 6 Months

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    U

    University of London

    Introduction to Computer Science and Programming

    Skills you'll gain: Computer Science, Debugging, Development Environment, Computer Systems, Web Applications, Arithmetic, Computer Literacy, Javascript, Network Security, Computer Networking, Program Development, Computer Graphics, Web Design and Development, Cybersecurity, Computer Programming, Problem Management, Computational Thinking, General Mathematics, Systems Of Measurement, Problem Solving

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    4.2
    Rating, 4.2 out of 5 stars
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    1.5K reviews

    Beginner · Specialization · 1 - 3 Months

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    U

    University of Pittsburgh

    Mathematical Foundations for Data Science and Analytics

    Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning

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    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Science Foundations: Statistical Inference

    Skills you'll gain: Probability, Statistical Inference, Statistical Hypothesis Testing, Statistical Methods, Probability & Statistics, Statistics, Probability Distribution, Data Literacy, Statistical Analysis, Bayesian Statistics, Data Ethics, Applied Mathematics, Sampling (Statistics), Data Science, A/B Testing, Theoretical Computer Science, Data Analysis, Quantitative Research, Artificial Intelligence

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    335 reviews

    Intermediate · Specialization · 3 - 6 Months

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    S

    Stanford University

    Algorithms

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Theoretical Computer Science, Social Network Analysis, Network Analysis, Computational Thinking, Analysis, Probability & Statistics, Network Routing, Probability, Pseudocode, Computational Logic, Operations Research

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6K reviews

    Intermediate · Specialization · 3 - 6 Months

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In summary, here are 10 of our most popular introduction to mathematical thinking stanford courses

  • Introduction to Mathematical Thinking: Stanford University
  • Introduction to Logic and Critical Thinking: Duke University
  • Foundations of Probability and Statistics: University of Colorado Boulder
  • Algebra: Elementary to Advanced: Johns Hopkins University
  • Mathematics for Engineers: The Hong Kong University of Science and Technology
  • Honors Algebra 2: Series, Trigonometry, and Probability: Johns Hopkins University
  • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
  • Mathematics for Engineering: Birla Institute of Technology & Science, Pilani
  • Introduction to Computer Science and Programming: University of London
  • Mathematical Foundations for Data Science and Analytics: University of Pittsburgh

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