Mining Data to Extract and Visualize Insights in Python

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In this Guided Project, you will:

Learn how to clean and extract useful information from your dataset in Python

Learn how to create several different types of visualizations to identify patterns, outliers, and correlations in your dataset

Learn how to visualize a highly dimensional dataset using principal component analysis (PCA)

Clock1.5 hours
BeginnerBeginner
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

By the end of this project, you will learn how to load and extract useful information from your dataset using Python, a free, open-source program that you can download. You will then learn how to clean your data set by removing unwanted whitespaces, columns containing several empty values, rows containing empty column values and duplicated row entries. Next, you will create various visualizations to identify patterns and outliers in your dataset, and visualize correlations between different columns. Lastly, you will learn how to visualize a highly dimensional dataset using principal component analysis (PCA). These steps are part of exploratory data analysis that you will need to carry out for any data science project to help you understand your dataset. 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.

Skills you will develop

Python ProgrammingInsightsData Visualization (DataViz)Data Mining

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Load a dataset and extract basic information using Python

  2. Learn various ways to clean your dataset

  3. Visualize patterns and outliers that may be present in your dataset

  4. Calculate and visualize the correlation between different numeric columns

  5. Cluster your dataset to identify similar groups

  6. Visualize your dataset using principal component analysis (PCA)

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

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Frequently asked questions

Frequently Asked Questions

More questions? Visit the Learner Help Center.