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Introduction to Python for Data Science (Microsoft)

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Course Description

Labs for Introduction to Python for Data Science.

  1. 1

    Hello Python

    Lab Exercises on Hello Python.
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  2. 2

    Variables & Types

    Lab exercises on Variables & Types.
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  3. 3


    Lab exercises on Lists.
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  4. 4

    Subsetting Lists

    Lab exercises on Subsetting Lists.
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  5. 5

    List Manipulation

    Lab exercises on List Manipulation.
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  6. 6


    Lab exercises on Functions.
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  7. 7


    Lab exercises on Methods.
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  8. 8


    Lab Exercises on Packages.
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  9. 9


    Lab exercises on Numpy.
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  10. 10

    2D Numpy Arrays

    Lab exercises on 2D Numpy Arrays.
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  11. 11

    Numpy Basic Statistics

    Lab exercises on Numpy Basic Statistics.
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  12. 12

    Basic Plots with matplotlib

    Lab exercises on Basic Plots with matplotlib.
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  13. 13


    Lab exercises on Histograms.
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  14. 14


    Lab exercises on Customization.
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  15. 15

    Boolean Logic & Control Flow

    Lab exercises on Boolean Logic & Control Flow.
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  16. 16


    Lab exercises on Pandas.
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Filip Schouwenaars Headshot

Filip Schouwenaars

Data Science Instructor at DataCamp
Filip is the passionate developer behind several of DataCamp's interactive courses, covering both R and Python. Under the motto 'Eat your own dog food', he has used the techniques DataCamp teaches its students to perform data analysis for DataCamp. Filip holds degrees in Electrical Engineering and Artificial Intelligence.
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