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Carpentries Incubator Alpha This lesson is in the alpha phase, which means that it has been taught once and lesson authors are iterating on feedback.

    Carpentries Incubator
    Introduction to Data Analysis with Python
    • Introduction to Data Analysis with Python
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    Introduction to Data Analysis with Python
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    Summary and Schedule
    1. Welcome to Python
    2. Variables in Python
    3. Basic Types
    4. Built-in Functions and Help
    5. String Manipulation
    6. Using Objects
    7. Lists
    8. For Loops
    9. Libraries
    10. Reading tabular data
    11. Managing Python Environments
    12. Dictionaries
    13. Conditionals
    14. Pandas DataFrames
    15. Writing Functions
    16. Perform Statistical Tests with Scipy
    17. Reshaping Data
    18. Combining Data
    19. Visualizing data with matplotlib and seaborn
    20. Perform machine learning with Scikit-learn
    21. ID mapping using mygene

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    Instructor Notes

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    Welcome to PythonA Level-1 Heading


    Variables in Python


    Basic Types


    Built-in Functions and Help


    String Manipulation


    Using Objects


    Lists


    For Loops


    Libraries


    Reading tabular data


    Managing Python Environments


    Dictionaries


    Conditionals


    Pandas DataFrames


    Writing Functions


    Perform Statistical Tests with Scipy


    Reshaping Data


    Combining Data


    Visualizing data with matplotlib and seaborn


    Perform machine learning with Scikit-learn


    ID mapping using mygene



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    Template licensed under CC-BY 4.0 by The Carpentries

    Built with sandpaper (0.16.10), pegboard (0.7.7), and varnish (1.0.5)


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