OpenClassrooms devient une université américaine accréditée.
Découvrez ce que cela change pour vousTous 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
Moyenne
8 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.
Et si vous en faisiez votre métier ?
Suivez une des formations diplômantes de notre école 100% en ligne, et transformez vos connaissances en compétences professionnelles.
- Formations jusqu’à 100 % financées
- Date de début flexible
- Projets professionnalisants
- Mentorat individuel
1/2
Table des matières
- Partie 1
Manipulate Tables Using NumPy
- Partie 2
Create DataFrames Using Pandas
- Partie 3
Build Data Visualizations Using Matplotlib and Seaborn
Contributeurs
Professeurs
LF
Llewelyn Fernandes
Founder of Think Create Learn (@tcreatelearn), helping young people and career changers build skills in data, AI, robotics, and programming.BM
Benjamin Marlé
Graduated in Big Data from the University of Reims, France. Currently working as a freelance Data ScientistNR
