Beginner’s Guide to Python Data Analysis & Visualization [Udemy]

Beginner’s Guide to Python Data Analysis

Beginner’s Guide to Python Data Analysis

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.


  • 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.

Website: Visit
Created by: Alan H Yue, Rake Smith
Duration: 4h 1m

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