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High-dimensional Data visualization techniques using python
  • Level Intermediate
  • Duration 2 hours
  • Offered by

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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.

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Explore high-dimensional data visualization techniques with Python in this intermediate-level, 120-minute course by Coursera. Enhance your data analysis skills for free, ideal for IT and Computer Science enthusiasts.