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    Results for "computational thinking for k-12 educators: sequences and loops"

    • Status: Free Trial
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      IBM

      Generative AI: Introduction and Applications

      Skills you'll gain: Generative AI, ChatGPT, OpenAI, Prompt Engineering, Large Language Modeling, Artificial Intelligence, Program Development, Content Creation, Image Analysis, Virtual Environment

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

      Beginner · Course · 1 - 4 Weeks

    • 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

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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: New
      New
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      N

      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
      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

      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

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      Johns Hopkins University

      Genomic Data Science

      Skills you'll gain: Bioinformatics, Unix Commands, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Unix, Data Science, Data Management, Statistical Methods, Molecular Biology, Command-Line Interface, Statistical Hypothesis Testing, Linux Commands, Data Analysis Software, Statistical Modeling, Data Structures, R Programming, Computational Thinking, Jupyter, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6.7K reviews

      Intermediate · Specialization · 3 - 6 Months

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      IBM

      Databases and SQL for Data Science with Python

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

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

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
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      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: New
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      EDUCBA

      Customer Segmentation with K-Means: Model & Visualize

      Skills you'll gain: Customer Analysis, Statistical Visualization, Unsupervised Learning, Customer Insights, Correlation Analysis, Pandas (Python Package), Heat Maps, Data Processing, Seaborn, Histogram, Matplotlib, Exploratory Data Analysis, Data Analysis, Predictive Modeling, Data Visualization Software

      Mixed · Course · 1 - 4 Weeks

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      EDUCBA

      R: Apply & Analyze K-Means Clustering for Unsupervised ML

      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

      Mixed · Course · 1 - 4 Weeks

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

    • Generative AI: Introduction and Applications: IBM
    • Python for Data Science, AI & Development: IBM
    • Program Structure and Algorithms Part 1: Northeastern University
    • Program Structure and Algorithms Part 2: Northeastern University
    • Prompt Engineering for ChatGPT: Vanderbilt University
    • Excel Basics for Data Analysis: IBM
    • Genomic Data Science: Johns Hopkins University
    • Databases and SQL for Data Science with Python: IBM
    • Data Visualization and Dashboards with Excel and Cognos: IBM
    • Customer Segmentation with K-Means: Model & Visualize: EDUCBA

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