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Débute 4 June 2026 07:12

Se termine 4 June 2026

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Harvard University

Data Science and Machine Learning

Intéressé par une carrière dans la science des données et l'apprentissage automatique, mais vous ne savez pas par où commencer ? La demande de professionnels qualifiés en apprentissage automatique (ML) et en intelligence artificielle (IA) est en plein essor, stimulée par un paysage de science des données en constante évolution. À mesure que les ou.
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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Interested in a career in data science and machine learning but unsure where to begin? The demand for professionals skilled in machine learning (ML) and artificial intelligence (AI) is soaring, driven by an ever-evolving data science landscape.

As machine learning tools become more widely available, companies are increasingly adopting them, fueling the need for data science analysts and engineers proficient in programming languages like Python.

Industries such as finance, healthcare, e-commerce, and technology will depend more on data to drive strategic value and innovation, creating a competitive edge through data-driven insights. This inevitably leads to a greater need for experts in data analysis and machine learning techniques to achieve growth objectives.

This comprehensive certificate program is crafted to equip learners with practical machine learning knowledge to embark on a rewarding career or transition into data science and machine learning with Python.

It explores various aspects of data analysis, predictive modeling, and machine learning techniques, offering hands-on experience with industry-standard tools like sklearn, Pandas, matplotlib, and numPy, as well as methodologies including decision trees and advanced algorithms like gradient boosting.

By completing this certificate, learners will gain practical experience in building and analyzing complex data sets using Python and machine learning, acquiring the skills needed to enter a thriving job market with ample opportunities.

To succeed in this course, learners should have experience in Python and statistics. To prepare, consider exploring CS50’s Introduction to Programming with Python and fulfilling statistics prerequisites through courses like Fat Chance or Stat110 offered by HarvardX.

University:

Harvard University

Provider:

edX

Categories:

Artificial Intelligence Courses, Python Courses, Machine Learning Courses, Data Science Courses, Matplotlib Courses, pandas Courses, Decision Trees Courses, Predictive Modeling Courses


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