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    • Computational Thinking For K 12 Educators Sequences And Loops
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    Results for "computational thinking for k-12 educators: sequences and loops"

    • Status: Free Trial
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      J

      Johns Hopkins University

      Computational and Graphical Models in Probability

      Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R Programming, Simulations, Applied Mathematics, Graph Theory, Data Analysis, Probability, Statistical Analysis, Markov Model, Probability Distribution, Data Visualization, Machine Learning, Statistical Hypothesis Testing

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      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
      ·
      730 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Bayesian Computational Statistics

      Skills you'll gain: Bayesian Statistics, Data Analysis, Statistical Inference, Regression Analysis, Statistical Methods, Statistical Analysis, Statistical Modeling, Statistical Programming, Statistical Software, R Programming, Markov Model, Probability, Simulations, Probability Distribution

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Pandas for Data Science

      Skills you'll gain: Pandas (Python Package), Data Cleansing, Data Manipulation, NumPy, Query Languages, Data Integration, Python Programming, Data Import/Export, Data Analysis, Debugging

      4.2
      Rating, 4.2 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Design Thinking and Predictive Analytics for Data Products

      Skills you'll gain: Supervised Learning, Feature Engineering, Predictive Modeling, Data Manipulation, Applied Machine Learning, Design Thinking, Advanced Analytics, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Data Science, Data Cleansing, Classification And Regression Tree (CART), Regression Analysis, Data Processing, Tensorflow, Statistical Methods

      4.5
      Rating, 4.5 out of 5 stars
      ·
      65 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Python for Data Analytics

      Skills you'll gain: Pandas (Python Package), Data Visualization, Time Series Analysis and Forecasting, Matplotlib, Data Visualization Software, Statistical Inference, Statistical Analysis, Seaborn, Exploratory Data Analysis, Descriptive Statistics, Statistical Modeling, Data Manipulation, Programming Principles, Jupyter, Python Programming, Regression Analysis, Forecasting

      4.5
      Rating, 4.5 out of 5 stars
      ·
      13 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Instructor Network

      GenAI for Compensation, Benefits and Payroll

      Skills you'll gain: Payroll, HR Tech, Compensation Strategy, Generative AI Agents, Compensation and Benefits, Benefits Administration, Compensation Analysis, Compensation Management, Payroll Processing, Human Resource Management, Human Resources, Operational Efficiency, Data Ethics, Workforce Management, AI Personalization, Automation, Business Ethics, Employee Engagement

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Intro to Analytic Thinking, Data Science, and Data Mining

      Skills you'll gain: Data Ethics, Data Mining, Data Science, Business Analytics, Data Analysis, Big Data, Analytics, Business Intelligence, Descriptive Analytics, Data-Driven Decision-Making, Data Literacy, Predictive Analytics, Data Processing, Small Data

      4.2
      Rating, 4.2 out of 5 stars
      ·
      155 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      C

      Coursera Instructor Network

      Quantitative Research Methods: Tools for Data Analysis

      Skills you'll gain: Quantitative Research, Data-Driven Decision-Making, Descriptive Statistics, Data Literacy, Data Analysis, Statistics, Research Design, Statistical Analysis, Microsoft Excel, Research Methodologies, Research, R Programming, Data Presentation, Data Collection, Correlation Analysis, Data Ethics

      4.4
      Rating, 4.4 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Introduction to Probability and Data with R

      Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Analysis, Statistical Software, Descriptive Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.8K reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      K-Means Clustering 101: World Happiness Report

      Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Plotly, Data Visualization, Machine Learning, Social Sciences, Socioeconomics, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Economics, Policy, and Social Studies, Exploratory Data Analysis, Data Analysis, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      18 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Python for Beginners: Variables and Strings

      Skills you'll gain: Data Import/Export, Data Analysis, Data Visualization, Programming Principles, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      53 reviews

      Beginner · Guided Project · Less Than 2 Hours

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

    • Computational and Graphical Models in Probability: Johns Hopkins University
    • Foundations of Data Science: K-Means Clustering in Python: University of London
    • Bayesian Computational Statistics: Illinois Tech
    • Pandas for Data Science: Duke University
    • Design Thinking and Predictive Analytics for Data Products: University of California San Diego
    • Python for Data Analytics: DeepLearning.AI
    • GenAI for Compensation, Benefits and Payroll: Coursera Instructor Network
    • Intro to Analytic Thinking, Data Science, and Data Mining: University of California, Irvine
    • Quantitative Research Methods: Tools for Data Analysis: Coursera Instructor Network
    • Introduction to Probability and Data with R: Duke University

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