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Débute 4 June 2026 02:38

Se termine 4 June 2026

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Harvard University

Python for Data Science and Machine Learning

Avez-vous envisagé une carrière dans la science des données et l'apprentissage automatique mais ne saviez pas par où commencer ? La demande pour des professionnels en apprentissage automatique (ML) et intelligence artificielle (IA) croît de façon exponentielle. Avec l'évolution constante du paysage de la science des données, le besoin d'analystes.
Harvard University via edX

Harvard University

24 Cours


L'Université Harvard est une université de recherche privée de l'Ivy League, mondialement reconnue, située à Cambridge, dans le Massachusetts. Fondée en 1636, c'est l'une des plus anciennes institutions d'enseignement supérieur aux États-Unis.

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Have you considered a career in data science and machine learning but didn't know where to begin?

The demand for professionals in machine learning (ML) and artificial intelligence (AI) is growing exponentially. With the ever-evolving data science landscape, the need for skilled data science analysts and engineers, especially those proficient in Python, is increasing.

As machine learning tools become more accessible, their adoption by companies will lead to a higher demand for these professionals.

Industries such as finance, healthcare, e-commerce, and technology rely increasingly on data to drive strategic value and innovation, leveraging data-driven insights to gain a competitive edge. They seek experts in data analysis and machine learning techniques to meet their growth objectives.

Our comprehensive certificate program provides learners with the practical knowledge of machine learning and its applications, enabling them to launch or transition into a successful career in data science and machine learning with Python.

The program covers facets of data analysis, predictive modeling, and machine learning techniques, offering hands-on experience with industry-standard tools like sklearn, Pandas, matplotlib, and numPy, and methodologies such as decision trees and complex algorithms like gradient boosting.

By completing this certificate, participants will gain hands-on experience in building and analyzing complex data sets using Python and machine learning, equipping themselves with the skills needed to enter a robust job market with diverse opportunities.

Participants should have prior experience in Python and statistics to succeed in this course. Consider exploring CS50’s Introduction to Programming with Python and statistics prerequisites, attainable through HarvardX's Fat Chance or Stat110 courses.


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