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  • Data Science Computational Thinking For K 12 Educators Sequences And Loops

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


  • Status: Preview
    Preview
    N

    Northeastern University

    Data Structures & Algos: Software Development Skills

    Skills you'll gain: Algorithms, Theoretical Computer Science, Data Structures, Computational Thinking, Analysis, Computer Science, Software Development, Scalability

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Concepts in Python: Loops, Functions and Returns

    Skills you'll gain: Computational Thinking, Python Programming, Scripting, Computer Programming, Maintainability, Programming Principles, Scripting Languages, Software Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    118 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science Decisions in Time:Sequential Hypothesis Testing

    Skills you'll gain: Bioinformatics, Image Analysis, Bayesian Statistics, Data Science, Data-Driven Decision-Making, Analytics, Machine Learning Methods, Statistical Hypothesis Testing, Biomedical Engineering, A/B Testing, Computer Vision, Algorithms, Statistical Inference, Magnetic Resonance Imaging, Program Development, Probability Distribution, Medical Imaging

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Algorithmic Thinking (Part 1)

    Skills you'll gain: Graph Theory, Algorithms, Computational Thinking, Data Analysis, Data Structures, Theoretical Computer Science, Network Analysis, Analysis, Programming Principles, Python Programming, Computer Programming

    4.6
    Rating, 4.6 out of 5 stars
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    384 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of Data Structures and Algorithm Analysis

    Skills you'll gain: Graph Theory, Data Structures, Algorithms, Program Development, Programming Principles, Computational Thinking, Theoretical Computer Science, Computer Science, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    29 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Clemson University

    Applied Data Science

    Skills you'll gain: Dimensionality Reduction, Data Cleansing, Matplotlib, Regression Analysis, Unsupervised Learning, Data Science, Statistical Analysis, Anomaly Detection, Descriptive Statistics, Data Analysis, Data Visualization Software, Pandas (Python Package), Exploratory Data Analysis, Predictive Modeling, Machine Learning, Supervised Learning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Learn to Teach Java: ArrayLists and 2D Arrays

    Skills you'll gain: Java, Computer Programming, Object Oriented Programming (OOP), Test Case, Pseudocode, Debugging, Algorithms, Program Development, Data Structures

    Beginner · Course · 1 - 3 Months

  • Status: New
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    Status: Preview
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    N

    Northeastern University

    Program Structure and Algorithms Part 2

    Skills you'll gain: Algorithms, Bayesian Statistics, Theoretical Computer Science, Pseudocode, Computational Thinking, Data Structures, Graph Theory, Network Analysis, Probability, Probability & Statistics

    Mixed · Course · 1 - 3 Months

  • Status: Preview
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    U

    University of Leeds

    Statistical Methods

    Skills you'll gain: Exploratory Data Analysis, Statistical Methods, Statistical Modeling, R (Software), Data Collection, Statistical Inference, Probability, Data Analysis, Statistical Analysis, Probability Distribution, Simulations, Statistical Visualization, Descriptive Statistics, Sampling (Statistics), Data Visualization Software

    4.8
    Rating, 4.8 out of 5 stars
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    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Learn to Teach Java: Writing Classes and Arrays

    Skills you'll gain: Java, Object Oriented Programming (OOP), Software Design, Computer Programming, Program Development, Debugging, Integrated Development Environments, Data Structures, Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science Decisions in Time: Using Data Effectively

    Skills you'll gain: Reinforcement Learning, Data-Driven Decision-Making, Markov Model, Time Series Analysis and Forecasting, Bayesian Statistics, Data Science, Predictive Analytics, Anomaly Detection, Probability Distribution, Machine Learning Methods, Statistical Analysis, A/B Testing, Sampling (Statistics)

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Design Thinking for Data Professionals

    Skills you'll gain: User Research, Human Centered Design, Ideation, User Experience Design, Design Thinking, Prototyping, Brainstorming, User Experience, Innovation, Usability Testing, Data Synthesis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 3 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

  • Data Structures & Algos: Software Development Skills: Northeastern University
  • Concepts in Python: Loops, Functions and Returns: Coursera
  • Data Science Decisions in Time:Sequential Hypothesis Testing: Johns Hopkins University
  • Algorithmic Thinking (Part 1): Rice University
  • Foundations of Data Structures and Algorithm Analysis: Packt
  • Applied Data Science: Clemson University
  • Learn to Teach Java: ArrayLists and 2D Arrays: University of California San Diego
  • Program Structure and Algorithms Part 2: Northeastern University
  • Statistical Methods: University of Leeds
  • Learn to Teach Java: Writing Classes and Arrays: University of California San Diego

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