What You Need to Know Before
You Start

Starts 3 June 2025 17:04

Ends 3 June 2025

00 days
00 hours
00 minutes
00 seconds
course image
Harvard University

Data Science and Machine Learning

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.
Harvard University via edX

Harvard University

21 Courses


Harvard University is a globally recognized, private Ivy League research university based in Cambridge, Massachusetts. Established in 1636, it is one of the most ancient institutions of higher learning in the United States.

Not Specified

Optional upgrade avallable

All Levels

Progress at your own speed

Free

Optional upgrade avallable

Overview

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


Subjects

united states