Udemy - Beginner's Guide to Python Data Analysis & Visualization

  • Category Other
  • Type Tutorials
  • Language English
  • Total size 595.5 MB
  • Uploaded By tutsgalaxy
  • Downloads 1315
  • Last checked 1 week ago
  • Date uploaded 6 years ago
  • Seeders 28
  • Leechers 20

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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

Files:

Beginner's Guide to Python Data Analysis & Visualization
  • Beginner's Guide to Python Data Analysis & Visualization.zip (595.5 MB)
  • Download more courses.url (0.1 KB)
  • Downloaded from TutsGalaxy.com.txt (0.1 KB)
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