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Results for "computational thinking for k-12 educators: sequences and loops"
- Status: Free Trial
Johns Hopkins University
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
- Status: Preview
University of London
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
- Status: Free Trial
Illinois Tech
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
- Status: Free Trial
Duke University
Skills you'll gain: Pandas (Python Package), Data Cleansing, Data Manipulation, NumPy, Query Languages, Data Integration, Python Programming, Data Import/Export, Data Analysis, Debugging
- Status: Free Trial
University of California San Diego
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
- Status: NewStatus: Free Trial
DeepLearning.AI
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
Coursera Instructor Network
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
- Status: Free Trial
University of California, Irvine
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
- Status: NewStatus: Free Trial
Coursera Instructor Network
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
- Status: Free Trial
Duke University
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
Coursera Project Network
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
Coursera Project Network
Skills you'll gain: Data Import/Export, Data Analysis, Data Visualization, Programming Principles, Python Programming
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:Â Johns Hopkins University
- Foundations of Data Science: K-Means Clustering in Python:Â University of London
- Bayesian Computational Statistics:Â Illinois Tech
- Pandas for Data Science:Â Duke University
- Design Thinking and Predictive Analytics for Data Products:Â University of California San Diego
- Python for Data Analytics:Â DeepLearning.AI
- GenAI for Compensation, Benefits and Payroll:Â Coursera Instructor Network
- Intro to Analytic Thinking, Data Science, and Data Mining:Â University of California, Irvine
- Quantitative Research Methods: Tools for Data Analysis:Â Coursera Instructor Network
- Introduction to Probability and Data with R:Â Duke University