Course Outline

Introduction

Pandas Overview

  • What is Pandas?
  • Pandas features

Preparing the Development Environment

  • Installing and configuring Pandas

Dataframes

  • Loading a dataset
  • Preparing data
  • Using the Pandas API
  • Working with calculations

Data Structures

  • Working with series
  • Using regex
  • Binning data
  • Normalizing data

Data Visualization

  • Creating graphs with Matplotlib
  • Using Seaborn

Data Assembly

  • Concatenating data
  • Merging data

Predictive Analysis

  • Finding and replacing empty values
  • Using index values
  • Adding time series data
  • Working with frequencies

Summary and Conclusion

Requirements

  • An understanding of data analysis
  • Python programming experience

Audience

  • Data Scientists
 14 Hours

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