Scientifique de données associé en Python

Apprenez à combiner des données provenant de plusieurs tableaux en joignant des données à l'aide de pandas.

4 hours

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.

4 hours

Apprenez à créer, personnaliser et partager des visualisations de données à l'aide de Matplotlib.

4 hours

Apprenez à créer des visualisations informatives et attrayantes en Python à l'aide de la bibliothèque Seaborn.

4 hours

Explore a dataset containing a century's worth of Nobel Laureates. Who won? Who got snubbed?

2 hours

Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.

3 hours

Continuez à développer vos compétences en science des données modernes en vous familiarisant avec les itérateurs et les compréhensions de listes.

4 hours

Apprenez à explorer, visualiser et extraire des informations des données à l'aide de l'analyse exploratoire des données (AED) en Python.

4 hours

Find out when and where crime is most likely to occur, along with the types of crimes commonly committed in LA.

2 hours

Learn how to manipulate and visualize categorical data using pandas and seaborn.

4 hours

Apply your knowledge of data types and categorical data to prepare a big dataset for modeling!

2 hours

3 hours

Learn to import data into Python from various sources, such as Excel, SQL, SAS and right from the web.

3 hours

4 hours

Apply your data importing, cleaning and manipulation skills to explore New York City Airbnb data.

2 hours

Learn how to work with dates and times in Python.

4 hours

Apprenez à utiliser les meilleures pratiques pour écrire des fonctions complexes, réutilisables et faciles à maintenir, avec une bonne documentation.

4 hours

Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis with statsmodels in Python.

4 hours

Clean customer data and use logistic regression to predict whether people will make a claim on their car insurance!

2 hours

4 hours

Apprenez comment et quand utiliser les tests d'hypothèse courants comme les tests t, les tests de proportion et les tests du khi-deux en Python.

4 hours

Implement experimental design setups and perform robust statistical analyses to make precise and valid conclusions!

4 hours

Perform a hypothesis test to determine if more goals are scored in women's soccer matches than men's!

2 hours

Grow your machine learning skills with scikit-learn in Python. Use real-world datasets in this interactive course and learn how to make powerful predictions!

4 hours

Dive into agriculture using supervised machine learning and feature selection to aid farmers in crop cultivation and solve real-world problems.

2 hours

Apprenez à regrouper, transformer, visualiser et extraire des informations à partir d'ensembles de données non marquées en utilisant scikit-learn et scipy.

4 hours

Arctic Penguin Exploration: Unraveling Clusters in the Icy Domain with K-means Clustering

2 hours

In this course, you'll learn how to use tree-based models and ensembles for regression and classification using scikit-learn.

5 hours

Build a regression model for a DVD rental firm to predict rental duration. Evaluate models to recommend the best one.

2 hours