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Coding to analyze and visualize data: a class of examples​
Rating: 4.2 out of 5(8 ratings)
172 students

Coding to analyze and visualize data: a class of examples​

Learn the Python programming language, pandas & Matplotlib! Data Analysis & Visualization for all. No experience needed!
Created byMammoth Interactive, John Bura
Last updated 4/2018
English

What you'll learn

  • Read, write, and analyze data with pandas
  • Create line, scatter, candlestick, and 3D plots in Matplotlib
  • Learn to code in Python from scratch
  • Visualize data with histograms, pie charts, and box and whisker plots
  • And much more!

Coding Exercises

This course includes our updated coding exercises so you can practice your skills as you learn.

See a demo
Image of coding exercise example

Course content

24 sections • 94 lectures • 31h 8m total length

  • Course Trailer0:40

Requirements

  • Anaconda, which includes Python, pandas, and Matplolib
  • Topics involve intermediate math, so familiarity with university-level math is very helpful.

Description

Anyone - even if you have no programming experience - can learn to code in Python with Mammoth Interactive. Learn to analyze and visualize data with bars, diagrams, and graphs.

This course was funded by a wildly successful Kickstarter

This course is fun, project-filled, and practical. 

If you want to do any of the following...

  • Visualize data with histograms, pie charts, and box and whisker plots.
  • Code in the Python 3.5 programming language.
  • Make games with Python.
  • Create and manipulate dataframes with pandas.
  • Read and write data from and to CSV.
  • Recognize analytical approaches to data, including: analyzing data, locating, making statistical descriptions and plots of data.
  • Create basic line and scatter plots with Matplotlib 1.5.
  • Read finance data from Yahoo.
  • Customise graphs with visuals, a title, labels, text and a legend.
  • Understand figures and subplots.
  • Understand basic 3D plotting.

You should take this course!

Who this course is for:

  • Absolute beginners who want to learn to code in the popular Python programming language.
  • Beginners who want to learn how to use data science to make graphs.
  • Intermediates who want to expand their skillset by learning pandas and Matplotlib
  • Intermediates who want a refresher on the fundamentals

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