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Results for "computational thinking for k-12 educators: sequences and loops"
- Status: Free Trial
DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Statistical Machine Learning, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Mathematical Modeling, Machine Learning, Machine Learning Methods, Jupyter
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University of Pittsburgh
Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning
- Status: NewStatus: Free Trial
Birla Institute of Technology & Science, Pilani
Skills you'll gain: Computational Logic, Logical Reasoning, Deductive Reasoning, Analytical Skills, Theoretical Computer Science, Computational Thinking, Computer Science, Data Analysis, Computer Programming, Verification And Validation, Algorithms, Program Development, Software Development, Machine Learning
- Status: Free Trial
Johns Hopkins University
Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Wrangling, Data Visualization, Plot (Graphics), Statistical Programming, Ggplot2, Git (Version Control System), Dimensionality Reduction, Data Visualization Software, Knitr, Data Sharing, GitHub, Machine Learning
- Status: Free Trial
Google Cloud
Skills you'll gain: Information Privacy, Generative AI, Data Ethics, Google Cloud Platform, Personally Identifiable Information, Applied Machine Learning, Artificial Intelligence, Data Security, Cloud Security, Testability, Artificial Intelligence and Machine Learning (AI/ML), Safety and Security, Machine Learning, Interoperability, Data-Driven Decision-Making, Machine Learning Methods, Ethical Standards And Conduct, Encryption, Open Source Technology, Technical Communication
- Status: NewStatus: Preview
Skills you'll gain: Unsupervised Learning, Customer Analysis, Customer Insights, Applied Machine Learning, R Programming, Machine Learning, Machine Learning Algorithms, Feature Engineering, Data Analysis, Data Manipulation
What brings you to Coursera today?
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University of Illinois Urbana-Champaign
Skills you'll gain: Nutrition and Diet, Predictive Analytics, Maternal Health, Machine Learning, Health Assessment, Food and Beverage, Infectious Diseases, Health Systems, Operating Cost, Market Dynamics, Water Resources, Food Safety and Sanitation, Manufacturing and Production, Behavioral Economics, Business Economics, Environment, Molecular Biology, Production Management, Consumer Behaviour, Molecular, Cellular, and Microbiology
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Saïd Business School, University of Oxford
Skills you'll gain: Prompt Engineering, Generative AI, Agentic systems, OpenAI, Artificial Neural Networks, Data Ethics, Governance, Artificial Intelligence, ChatGPT, Governance Risk Management and Compliance, Artificial Intelligence and Machine Learning (AI/ML), Compliance Management, Data Governance, Enterprise Risk Management (ERM), Large Language Modeling, Business Process Automation, Business Ethics, Risk Management, Machine Learning, Project Management
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Northeastern University
Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Statistical Programming, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Probability & Statistics, Dimensionality Reduction
- Status: New
Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, CI/CD, DevOps, Data Processing, Data Management, Machine Learning, Predictive Modeling, Automation, Data Pipelines, Applied Machine Learning, Continuous Monitoring
- Status: NewStatus: Preview
Northeastern University
Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning Methods, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification And Regression Tree (CART), Decision Tree Learning, Generative AI, Random Forest Algorithm, Predictive Modeling, Feature Engineering
- Status: Free Trial
University of Glasgow
Skills you'll gain: JSON, Data Structures, Computational Thinking, Data Analysis, Data Visualization Software, Scripting Languages, Scripting, Javascript, Data Processing, Unsupervised Learning, Data Science, Data Modeling, Machine Learning, Programming Principles, Computer Programming, Algorithms, Software Development
In summary, here are 10 of our most popular computational thinking for k-12 educators: sequences and loops courses
- Mathematics for Machine Learning and Data Science:Â DeepLearning.AI
- Mathematical Foundations for Data Science and Analytics:Â University of Pittsburgh
- Logic for Computer Science:Â Birla Institute of Technology & Science, Pilani
- Data Science: Foundations using R:Â Johns Hopkins University
- Responsible AI for Developers:Â Google Cloud
- R: Apply & Analyze K-Means Clustering for Unsupervised ML:Â EDUCBA
- Dairy Nutrition for Udder Success:Â University of Illinois Urbana-Champaign
- AI Foundations for Business Professionals: Saïd Business School, University of Oxford
- Statistical Learning for Engineering Part 1:Â Northeastern University
- Learn MLOps for Machine Learning:Â Pearson