O'Reilly logo

Python Business Intelligence Cookbook by Robert Dempsey

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Chapter 4. Performing Data Analysis for Non Data Analysts

Now that we know what we are working with, it is time to gain insights from the data using analysis. In this chapter, we will look at two types of analysis—statistical (what happened) and predictive (what could happen). You will learn how to perform the following:

  • Statistical analysis
    • Performing a distribution analysis
    • Performing a categorical variable analysis
    • Performing a linear regression
    • Performing a time-series analysis
    • Performing outlier detection
  • Predictive analysis
    • Creating a predictive model using logistic regression
    • Creating a predictive model using random forest
    • Creating a predictive model using Support Vector Machines
  • Saving the results of your analysis
    • Saving the results of your analysis ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required