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Data Science Tutorials (free): Python, Plotly, Jekyll blog, Linked Lists, etc

  • 1.  Data Science Tutorials (free): Python, Plotly, Jekyll blog, Linked Lists, etc

    Posted 03-10-2022 09:54
    Dear Colleagues & Educators,

    To honor Women's Month in March, Data Umbrella has organized a series of tutorials in data science topics.  These are free to attend and open to all.
    • March   1: Geospatial Data & Maps with Python
      • Maps are powerful tools that we use every day, and Python is well-equipped to handle geospatial data, perform analysis & create insightful maps. Learn common mapping libraries, data considerations & use cases
    • March 12: Creating a Python Plotly Dashboard
      • Learn to use pandas, plotly & Dash to create a dashboard w/interactive visualizations on a housing dataset.
      • turn exploratory code into reusable functions.
      • explore layout options
      • generate & test a local dashboard
    • March 15: Arrays, Linked Lists and Graphs
      • Linked lists (LL) provide power & efficiency where arrays cannot (element insertion and the pre-allocation of memory); LL can reduce Big O complexity and solve a variety of problems
    • March 22: Setting up a Jekyll Blog
      • Jekyll is a static site generator that can be used to create a custom website simply, efficiently & for free
      • Learn to install a basic theme, add customizations, and host it via GitHub Pages.
    • March 29: Intro to Holoviz
      • Learn how to use HoloViz tools to visualize tabular and array data in Python.
      • Quickly inspect your data using `hvplot`.
      • Aggregate large data to the pixel level using `datashader`
      • Produce dashboards that allow others to easily view your outputs

    All of these events are recorded and available on Data Umbrella YouTube.

    Please email any questions about the events to info@dataumbrella.org 

    Cheers,
    Reshama
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    Reshama Shaikh
    Statistician / Data Scientist
    Data Umbrella
    https://www.meetup.com/data-umbrella/events/
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    Reshama Shaikh
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