Tous les coursUse Python’s specialized data science libraries. Learn how to use NumPy, Matplotlib, Pandas and Seaborn to create DataFrames and Data Visualizations.
Data
Use Python Libraries for Data Science
Moyenne8 heures
Ce cours en libre accès vous intéresse ?
Learn best practices and pick up the fundamental knowledge you’ll need to help you analyze your data using Python.
You’ll see how to use Python libraries such as NumPy, Pandas, Matplotlib and Seaborn to explore and analyze your data.
Python has numerous libraries, which can be used in many different contexts. When processing high volumes of data, there are certain basic rules you need to apply, which we’ll show you in this course.
Objectifs pédagogiques
- Manipulate tables using NumPy
- Create DataFrames using Pandas
- Build data visualizations using Matplotlib and Seaborn
Prérequis
Prerequisites
- We recommend taking the Learn Python Basics for Data Analysis course before this one.
- We recommend using a Jupyter Notebook, as explained in the first chapter of this course.
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Table des matières
- Partie 1
Manipulate Tables Using NumPy
- Partie 2
Create DataFrames Using Pandas
- Partie 3
Build Data Visualizations Using Matplotlib and Seaborn
