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Results for "computational thinking for k-12 educators: sequences and loops"
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Coursera Instructor Network
Skills you'll gain: User Experience Design, Wireframing, User Research, UI/UX Strategy, User Centered Design, Adobe XD, Usability Testing, Generative AI, Figma (Design Software), Human Computer Interaction, Design Thinking, Prototyping, User Interface (UI) Design, Artificial Intelligence, Persona Development
- Status: Free Trial
Multiple educators
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning, Google Cloud Platform, Applied Machine Learning, Financial Trading, Reinforcement Learning, Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Portfolio Management, Machine Learning Methods, Artificial Neural Networks, Securities Trading, Artificial Intelligence and Machine Learning (AI/ML), Market Data, Financial Market
- Status: Preview
Coursera Instructor Network
Skills you'll gain: Generative AI, Law, Regulation, and Compliance, Regulatory Requirements, Compliance Management, Compliance Reporting, Governance, Business Risk Management, Governance Risk Management and Compliance, Risk Management, Financial Regulation, Anomaly Detection, Compliance Auditing, Data Governance, Artificial Intelligence, Large Language Modeling, Threat Detection, Advanced Analytics
- Status: Free Trial
Coursera Instructor Network
Skills you'll gain: Generative AI, Data Ethics, ChatGPT, Artificial Intelligence, AI Personalization, Prompt Engineering, Workforce Development, Creative Problem-Solving, Content Creation, Natural Language Processing, Critical Thinking
- Status: Free Trial
DeepLearning.AI
Skills you'll gain: Disaster Recovery, Data Analysis, Jupyter, Exploratory Data Analysis, Image Analysis, Data Ethics, Statistical Analysis, Emergency Response, Artificial Intelligence, Machine Learning, Predictive Modeling, Applied Machine Learning, Mitigation, Text Mining, Environmental Monitoring, Computer Vision, Deep Learning, Data Processing, Supervised Learning, Natural Language Processing
- 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: 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
Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Classification And Regression Tree (CART), Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Statistical Machine Learning, Probability Distribution, Data Science, Markov Model, Statistics, Simulations, Python Programming, Mathematical Software, Statistical Inference
- Status: Free Trial
Skills you'll gain: Team Motivation, Team Leadership, Team Management, Benchmarking, Performance Measurement, Change Management, Organizational Change, Six Sigma Methodology, Team Building, Cross-Functional Team Leadership, Leadership and Management, Lean Six Sigma, Process Improvement, Business Metrics, Collaboration, Project Management, Organizational Structure, Leadership, Key Performance Indicators (KPIs), Delegation Skills
- Status: Free Trial
Skills you'll gain: Jupyter, Computer Programming Tools, Data Analysis Software, Software Development Tools, Data Science, GitHub, Big Data, R Programming, Statistical Programming, Application Programming Interface (API), Machine Learning, Cloud Computing, Git (Version Control System), Cloud Services, Development Environment, Other Programming Languages, Version Control, Query Languages, Python Programming, Open Source Technology
- Status: Free Trial
Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Data Visualization, Statistical Hypothesis Testing, Databases, Regression Analysis, Stored Procedure, Python Programming, Data Science, Data Structures, Computer Programming Tools, Data Analysis Software
- Status: Free Trial
Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Exploratory Data Analysis, Data Ethics, OpenAI, Feature Engineering, Predictive Modeling, Large Language Modeling, Artificial Intelligence, Data Storytelling, Artificial Intelligence and Machine Learning (AI/ML), Data Modeling, Data Presentation, Predictive Analytics, Data Science, Data Synthesis, Data Analysis, IBM Cloud, Machine Learning
In summary, here are 10 of our most popular computational thinking for k-12 educators: sequences and loops courses
- GenAI for UX Designers:Â Coursera Instructor Network
- Machine Learning for Trading:Â New York Institute of Finance
- GenAI for Fraud Detection and Compliance:Â Coursera Instructor Network
- GenAI for Everyone:Â Coursera Instructor Network
- AI for Good:Â DeepLearning.AI
- Pandas for Data Science:Â Duke University
- Quantitative Research Methods: Tools for Data Analysis:Â Coursera Instructor Network
- Introduction to Computational Statistics for Data Scientists:Â Databricks
- Leadership and Team Management:Â SkillUp
- Tools for Data Science:Â IBM