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Results for "an introduction to interactive programming in python"

  • Status: Free Trial
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    IBM

    Data Visualization with Python

    Skills you'll gain: Data Visualization Software, Plotly, Data Visualization, Dashboard, Interactive Data Visualization, Matplotlib, Seaborn, Data Presentation, Data Analysis, Geospatial Information and Technology, Pandas (Python Package), Scatter Plots, Histogram, Heat Maps, Box Plots, Python Programming

    4.5
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    Olay

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  • Status: Free
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    Coursera Project Network

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    4.6
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    34 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
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    E

    Erasmus University Rotterdam

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    Skills you'll gain: Social Justice, Liberal Arts, Political Sciences, Creativity, Case Studies, Ethical Standards And Conduct, Research, Psychology

    3.7
    Rating, 3.7 out of 5 stars
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    Yale University

    Introduction to Classical Music

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    4.9
    Rating, 4.9 out of 5 stars
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    Mixed · Course · 1 - 3 Months

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    LearnQuest

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    Skills you'll gain: Test Driven Development (TDD), Unit Testing, Development Testing, Software Testing, Testability, Java, Test Case

    3.6
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    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
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    Coursera Project Network

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    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    IBM

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    Rating, 4.5 out of 5 stars
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    Intermediate · Course · 1 - 4 Weeks

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    IBM

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    Duke University

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    IBM

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In summary, here are 10 of our most popular an introduction to interactive programming in python courses

  • Data Visualization with Python: IBM
  • Introduction to Cosmetic and Skincare Science: Olay
  • Power BI for Beginners: Interactive Dashboard Fundamentals: Coursera Project Network
  • Thought Experiments: An introduction to philosophy: Erasmus University Rotterdam
  • Introduction to Classical Music: Yale University
  • Java Testing: An Introduction to TDD: LearnQuest
  • Miro for Beginners: Create an interactive presentation: Coursera Project Network
  • Python Project for Data Science: IBM
  • Introduction to Deep Learning & Neural Networks with Keras: IBM
  • Introduction to Genetics and Evolution: Duke University

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