High-dimensional Data visualization techniques using python

ofrecido por
Coursera Project Network
En este proyecto guiado, tú:

Learn how to preprocess High-Dimensional data for visualization and analysis

Learn how implement Scatter plot matrix and Parallel Coordinate plot in python

Learn about why/how data reduction techniques

Clock2 hours
IntermediateIntermedio
CloudNo se necesita descarga
VideoVideo de pantalla dividida
Comment DotsInglés (English)
LaptopSolo escritorio

By the end of this project you will learn how to analyze high-dimensional data using different visualization techniques. We are going to learn how to implement Scatterplot Matrix and Parallel coordinate plots (PCP) in python. and We will learn how to use these two high-dimensional data visualization techniques to analyze our data by solving three tasks: Outlier Detection, Correlation Analysis and Cluster analysis. we will also talk about Data reduction techniques. we will learn how to sample our data to reduce the number of the data points for a better visualization. We will also learn about the Dimensionality reduction technique to reduce the number of dimensions in our dataset and how it can help us for a better analysis.

Habilidades que desarrollarás

  • Data Pre-Processing
  • Data Reduction
  • Python Programming
  • Data Analysis
  • Data Visualization (DataViz)

Aprende paso a paso

En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:

  1. Introduction to the project

  2. Data Normalization and Clustering

  3. Scatter Plot Matrix

  4. Parallel coordinate plot

  5. Data Reduction

Cómo funcionan los proyectos guiados

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

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