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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"


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    U

    University of Virginia

    Design Thinking for the Greater Good: Innovation in the Social Sector

    Skills you'll gain: Design Thinking, Stakeholder Engagement, Innovation, Prototyping, Brainstorming, Storytelling, Human Centered Design, Ideation, User Experience Design, Creativity, Customer experience improvement, Service Design, Design Research, Process Mapping, User Experience, Problem Solving, Complex Problem Solving, Qualitative Research, Data Visualization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    418 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Emerging Trends & Technologies in the Virtual K-12 Classroom

    Skills you'll gain: Education Software and Technology, Learning Management Systems, Collaborative Software, Teaching, Augmented Reality, Game Design, Virtual Environment, Emerging Technologies, Technology Strategies, Information Privacy, Social Media

    4.6
    Rating, 4.6 out of 5 stars
    ·
    667 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Computational Fluid Mechanics - Airflow Around a Spoiler

    Skills you'll gain: Simulation and Simulation Software, Engineering Analysis, Engineering, Prototyping, Computer-Aided Design, Cloud Computing

    4.5
    Rating, 4.5 out of 5 stars
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    375 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • 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

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    U

    University of London

    Foundations of Data Science: K-Means Clustering in Python

    Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Machine Learning, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
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    732 reviews

    Beginner · Course · 1 - 3 Months

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    T

    The University of Edinburgh

    Philosophy, Science and Religion: Philosophy and Religion

    Skills you'll gain: Culture, Research, Discussion Facilitation, Scientific Methods, Anthropology, Psychology, Ethical Standards And Conduct, Sociology

    4.6
    Rating, 4.6 out of 5 stars
    ·
    527 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Computational Social Science Capstone Project

    Skills you'll gain: Social Network Analysis, Data Wrangling, Natural Language Processing, Web Scraping, Databases, Social Sciences, Trend Analysis, Data Collection, Simulations, Big Data, Machine Learning, Computational Thinking, Data Visualization Software, Artificial Intelligence and Machine Learning (AI/ML)

    4.7
    Rating, 4.7 out of 5 stars
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    40 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    A

    Arizona State University

    Materials Science for Technological Application

    Skills you'll gain: Materials science, Failure Analysis, Semiconductors, Manufacturing Processes, Structural Analysis, Mechanical Engineering, Chemical Engineering, Chemistry, Thermal Management, Engineering, Laboratory Testing, Physical Science, Physics, Engineering Analysis, Reliability, Engineering Calculations

    4.7
    Rating, 4.7 out of 5 stars
    ·
    248 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Macquarie University

    Excel Fundamentals for Data Analysis

    Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Data Manipulation, Spreadsheet Software, Data Transformation, Data Validation, Data Analysis, Pivot Tables And Charts, Automation

    4.8
    Rating, 4.8 out of 5 stars
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    4.2K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Python Project for Data Engineering

    Skills you'll gain: Web Scraping, Data Transformation, Extract, Transform, Load, Data Manipulation, SQL, Integrated Development Environments, Data Processing, Databases, Application Programming Interface (API), Code Review, Restful API, Python Programming, Unit Testing, Style Guides

    4.6
    Rating, 4.6 out of 5 stars
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    813 reviews

    Intermediate · Course · 1 - 4 Weeks

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    D

    Duke University

    Drones for Environmental Science

    Skills you'll gain: Environmental Monitoring, Environmental Regulations, Environmental Laws, Environmental Science, Geospatial Information and Technology, Ethical Standards And Conduct, Global Positioning Systems, Research, Data Management, Critical Thinking

    4.9
    Rating, 4.9 out of 5 stars
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    71 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    PowerBI for Beginners: Data transformation

    Skills you'll gain: Power BI, Data Transformation, Data Manipulation, Data Cleansing, Feature Engineering, Data Integration, Predictive Modeling, Data Quality

    4.8
    Rating, 4.8 out of 5 stars
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    18 reviews

    Beginner · Guided Project · Less Than 2 Hours

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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

  • Design Thinking for the Greater Good: Innovation in the Social Sector: University of Virginia
  • Emerging Trends & Technologies in the Virtual K-12 Classroom: University of California, Irvine
  • Computational Fluid Mechanics - Airflow Around a Spoiler: Coursera
  • Mathematics for Machine Learning: Imperial College London
  • Foundations of Data Science: K-Means Clustering in Python: University of London
  • Philosophy, Science and Religion: Philosophy and Religion: The University of Edinburgh
  • Computational Social Science Capstone Project: University of California, Davis
  • Materials Science for Technological Application: Arizona State University
  • Excel Fundamentals for Data Analysis: Macquarie University
  • Python Project for Data Engineering: IBM

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