Data Visualization with Python
8070 ya inscrito
8070 ya inscrito
Visualizing data is used by virtually every discipline these days. It is used for analyzing web traffic to determine peak server load, growth and death rate of populations for biological analysis, analyzing weather patterns over time, stock market trends, and so on. Simply put, Data Visualization brings meaning to numbers that help people understand it. Seeing the data change can draw attention to trends and spikes that may otherwise go unnoticed. Python is an open-source (free) programming language has libraries that can be used to read and make useful graphics to present the data. In this course, you will create an application that reads data from CSV files. You will learn how to visualize the data using various techniques using existing Python libraries. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:
Tu espacio de trabajo es un escritorio virtual directamente en tu navegador, no requiere descarga.
En un video de pantalla dividida, tu instructor te guía paso a paso
por SZ15 de jul. de 2020
Good and fast course/project, you'll learn a lot in an hour, if you already know basics of python.
por AT3 de ago. de 2020
session needs to be extended for a longer time,It was a good experience..:)
por AA9 de sep. de 2020
Good for beginners to learn data visualization. Not recommended for people already heard the word(Just see their official website about scatter plot, joint plot and heat map).
por MA1 de sep. de 2020
i'm very satisfied with this guide, the explanation is on point.