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Beginner's Guide to Python Data Analysis & Visualization

Beginner's Guide to Python Data Analysis & Visualization

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596 MB
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Description


Description

This is the most comprehensive, yet straightforward, course for learning Python data science on Udemy! Whether you have never touched data science before, need a refresh on Pandas basics, or want to learn about the advanced features of Pandas, THIS COURSE IS FOR YOU!

If you never touched Python before, there is a Python crush section to get you started in 30 minutes! If you knew Python, use it to brush up your knowledge!

There are a lot of highlight points in this course. Paricularly, you will learn HOW TO:

    Perform Linear Regression Analysis
    Understand Linear Regression Analysis result
    Pandas series creation, selection, and other operations.
    Import CSV data
    Import Excel data
    Transform your array
    Select part of your data by column, row, or even condition!
    Rename your columns
    Change your index
    Delete columns
    Insert columns
    Make pie plots, scatter plots, series plots, heat-maps, and histograms!
    Numpy arrays
    Perform array indexing, slicing, and iterating.
    Generate descriptive statistics.

Who this course is for:

    Anyone interested in data science
    Anyone interested in learning python, pandas, numpy
    Anyone curious about this world, about all the information flowing around us.

Requirements

    Follow a step-by-step guide to download and install software.
    Basic knowledge about Python is an asset but not required.
    Curiosity, courage, and faith.

Last updated 11/2018










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  • Beginner's Guide to Python Data Analysis & Visualization
  • Beginner's Guide to Python Data Analysis & Visualization.zip 595.5 MB
  • TutsGalaxy.com.txt 52 B

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