Machine Learning with Python and Pandas Training Course

Course Code

pypandas

Duration

14 hours (usually 2 days including breaks)

Requirements

  • An understanding of data analysis
  • Python programming experience

Audience

  • Data Scientists

Overview

Pandas is a Python library for data manipulation and analysis. Using Pandas, users can perform predictive analysis through machine learning.

This instructor-led, live training (onsite or remote) is aimed at data scientists who wish to use Pandas to preform predictive analysis with machine learning.

By the end of this training, participants will be able to:

  • Perform data wrangling in Python.
  • Conduct ETL operations for machine learning.
  • Create data visualizations with Pandas

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.

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

Testimonials

★★★★★
★★★★★

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