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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: New
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      Northeastern University

      Program Structure and Algorithms Part 1

      Skills you'll gain: Algorithms, Graph Theory, Computational Thinking, Programming Principles, Pseudocode, Theoretical Computer Science, Data Structures, Computer Programming, Performance Tuning, Scalability

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI: Introduction and Applications

      Skills you'll gain: Generative AI, OpenAI, ChatGPT, Large Language Modeling, Prompt Engineering, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Content Creation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
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      Northeastern University

      Program Structure and Algorithms Part 2

      Skills you'll gain: Algorithms, Bayesian Statistics, Theoretical Computer Science, Computational Thinking, Data Structures, Graph Theory, Network Analysis, Probability, Probability & Statistics, Analysis

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Python for Data Science, AI & Development

      Skills you'll gain: Jupyter, Python Programming, Data Structures, Web Scraping, Data Manipulation, Programming Principles, Pandas (Python Package), Computer Programming, Object Oriented Programming (OOP), Restful API, NumPy, Application Programming Interface (API), Data Analysis, Data Import/Export, File Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      42K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Prompt Engineering for ChatGPT

      Skills you'll gain: Prompt Engineering, ChatGPT, Productivity, Generative AI, Artificial Intelligence, Large Language Modeling, Creative Thinking, Ingenuity, Brainstorming, Problem Solving, Application Development, Collaboration

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.6K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      SQL: A Practical Introduction for Querying Databases

      Skills you'll gain: SQL, Relational Databases, Microsoft SQL Servers, MySQL, Query Languages, Database Systems, Databases, Database Management, Stored Procedure, IBM DB2, Data Manipulation, Data Analysis, Transaction Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      637 reviews

      Beginner · Course · 1 - 3 Months

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      IBM

      Excel Basics for Data Analysis

      Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Data Analysis, Data Import/Export, Spreadsheet Software, Data Wrangling, Data Quality, Pivot Tables And Charts, Google Sheets, Data Manipulation, Data Science, Data Visualization Software, Information Privacy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      10K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Visualization and Dashboards with Excel and Cognos

      Skills you'll gain: Data Storytelling, Data Visualization, Data Visualization Software, Dashboard, IBM Cognos Analytics, Tree Maps, Scatter Plots, Data Analysis, Pivot Tables And Charts, Microsoft Excel, Histogram

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.3K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
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      IBM

      Generative AI: Foundation Models and Platforms

      Skills you'll gain: Generative AI, OpenAI, Large Language Modeling, Prompt Engineering, IBM Cloud, Tensorflow, Artificial Intelligence, Artificial Neural Networks, Deep Learning, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      246 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
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      IBM

      Databases and SQL for Data Science with Python

      Skills you'll gain: SQL, Databases, Stored Procedure, Relational Databases, Database Design, Query Languages, Database Management, Data Analysis, Jupyter, Data Manipulation, Pandas (Python Package), Python Programming, Transaction Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      22K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Coursera Instructor Network

      Leveraging Virtual Assistants for Personal Productivity

      Skills you'll gain: Productivity, Personal Development, Time Management, Automation, ChatGPT, Self Service Technologies, Artificial Intelligence, Prompt Engineering, Business Process Automation, Natural Language Processing, Generative AI

      4.4
      Rating, 4.4 out of 5 stars
      ·
      142 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Foundations for Everyone

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, OpenAI, Workflow Management, Large Language Modeling, Machine Learning, Self Service Technologies, Application Deployment, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Deep Learning, Content Creation, Business Process Automation, Customer Service, Personalized Service, Market Opportunities, IBM Cloud, Data Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      30K reviews

      Beginner · Specialization · 3 - 6 Months

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

    • Program Structure and Algorithms Part 1: Northeastern University
    • Generative AI: Introduction and Applications: IBM
    • Program Structure and Algorithms Part 2: Northeastern University
    • Python for Data Science, AI & Development: IBM
    • Prompt Engineering for ChatGPT: Vanderbilt University
    • SQL: A Practical Introduction for Querying Databases: IBM
    • Excel Basics for Data Analysis: IBM
    • Data Visualization and Dashboards with Excel and Cognos: IBM
    • Generative AI: Foundation Models and Platforms: IBM
    • Databases and SQL for Data Science with Python: IBM

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