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    Results for "data science computational thinking for k-12 educators: sequences and loops"

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Expressway to Data Science: Essential Math

      Skills you'll gain: Linear Algebra, Integral Calculus, Algebra, Numerical Analysis, Calculus, Graphing, Applied Mathematics, Data Science, Mathematical Theory & Analysis, Data Analysis, Statistical Methods, Derivatives

      4.5
      Rating, 4.5 out of 5 stars
      ·
      450 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
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      B

      Birla Institute of Technology & Science, Pilani

      Data Structures and Algorithms

      Skills you'll gain: Algorithms, Computational Thinking, Programming Principles, Data Storage Technologies, Problem Solving, Software Design, Data Manipulation, C and C++, Complex Problem Solving, Analysis

      Mixed · Course · 1 - 3 Months

    • Status: Preview
      Preview
      U

      University of Pennsylvania

      Computational Thinking for Problem Solving

      Skills you'll gain: Computational Thinking, Algorithms, Pseudocode, Problem Solving, Python Programming, Data Structures, Computer Hardware, Computer Programming, Analysis, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      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, Data Visualization Software, Visualization (Computer Graphics), Debugging, Object Oriented Programming (OOP), Data Manipulation, Regression Analysis, Python Programming, Data Science, Algorithms, Simulations, Image Analysis, Statistical Methods, Predictive Modeling, Data Analysis

      3.9
      Rating, 3.9 out of 5 stars
      ·
      82 reviews

      Beginner · Specialization · 3 - 6 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
      C

      Codio

      C++: Data Structures and Algorithms

      Skills you'll gain: Computational Thinking, Algorithms, Graph Theory, Data Structures, C++ (Programming Language), Programming Principles, Object Oriented Programming (OOP), Theoretical Computer Science, Computer Programming, Technical Design

      4.5
      Rating, 4.5 out of 5 stars
      ·
      13 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Foundations of Data Structures and Algorithms

      Skills you'll gain: Theoretical Computer Science, Algorithms, Data Structures, Graph Theory, Operations Research, Public Key Cryptography Standards (PKCS), Computational Thinking, Computer Programming, Cryptography, Computer Science, Programming Principles, Data Encryption Standard, Advanced Mathematics, Mathematical Theory & Analysis, Tree Maps, Encryption, Linear Algebra, Combinatorics, Python Programming, Analysis

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      851 reviews

      Advanced · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Science Methodology

      Skills you'll gain: Jupyter, Peer Review, Data Modeling, Data Science, Business Analysis, Data Manipulation, Data Mining, Predictive Modeling, Data Quality, Data Storytelling, Data Analysis, User Feedback, Decision Tree Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      21K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Statistical Methods for Computer Science

      Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Statistical Methods, Combinatorics, Bayesian Network, Statistical Hypothesis Testing, Data Analysis, Probability, Probability & Statistics, Bayesian Statistics, Probability Distribution, Simulations, Data Science, Markov Model, Applied Mathematics, Graph Theory, Statistics

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Statistical Learning for Data Science

      Skills you'll gain: Statistical Modeling, Statistical Machine Learning, Applied Machine Learning, Data Science, Statistical Methods, Classification And Regression Tree (CART), Statistical Analysis, Supervised Learning, Regression Analysis, Predictive Modeling, Artificial Neural Networks, R Programming, Dimensionality Reduction, Unsupervised Learning, Statistical Inference, Decision Tree Learning, Machine Learning, Advanced Analytics, Sampling (Statistics), Feature Engineering

      Build toward a degree

      4
      Rating, 4 out of 5 stars
      ·
      19 reviews

      Intermediate · Specialization · 3 - 6 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, Problem Solving, Mathematical Theory & Analysis, Scalability

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Computational Thinking with Beginning C Programming

      Skills you'll gain: Computational Thinking, Data Collection, Simulations, Data Analysis, Microsoft Visual Studio, C (Programming Language), Statistical Analysis, Automation, Program Development, Data Structures, Programming Principles, Algorithms, Computer Programming, Development Environment, Descriptive Statistics, Problem Management, File Management, Distributed Computing, Debugging, Data Storage

      4.6
      Rating, 4.6 out of 5 stars
      ·
      432 reviews

      Beginner · Specialization · 3 - 6 Months

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    In summary, here are 10 of our most popular data science computational thinking for k-12 educators: sequences and loops courses

    • Expressway to Data Science: Essential Math: University of Colorado Boulder
    • Data Structures and Algorithms: Birla Institute of Technology & Science, Pilani
    • Computational Thinking for Problem Solving: University of Pennsylvania
    • Programming for Python Data Science: Principles to Practice: Duke University
    • Discrete Mathematics for Computer Science and Engineering: Birla Institute of Technology & Science, Pilani
    • C++: Data Structures and Algorithms: Codio
    • Foundations of Data Structures and Algorithms: University of Colorado Boulder
    • Data Science Methodology: IBM
    • Statistical Methods for Computer Science: Johns Hopkins University
    • Statistical Learning for Data Science: University of Colorado Boulder

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