Machine Learning with Python

This program helps you build expertise in the key processes, design patterns, and strategic approaches behind effective learning systems, preparing you to create impactful, scalable solutions in education and training environments.

This certification opens doors to career paths across various industries that are embracing machine learning. Whether you're entering the field or building on existing experience, the program provides the essential skills and knowledge to grow and succeed in this rapidly evolving space.

Bethel University offers a 100% online Machine Learning with Python program equips learners with the skills to design intelligent systems by mastering the processes, patterns, and strategies behind effective machine learning models.

The program starts with an understanding of the fundamentals of Python and then introduces the essentials of machine learning with Python.

The focus of this program is to offer you the skills required for understanding machine learning algorithms, models, and core machine learning concepts, evaluating classifiers and regressors, connections, extensions, and further directions. The study guide is equipped with learning resources to broaden your toolbox and explore some of the field’s most sophisticated and exciting techniques.

Gaining a Machine Learning with Python certificate can equip you with the skills to understand machine learning algorithms, models, and core concepts. This knowledge can open various career paths across multiple industries.

Upon completing the certificate, students have the opportunity to engage in an optional volunteer externship with a local company, agency, or organization related to the field. This allows you to gain practical, hands-on experience. The Externship Coordinator will coordinate placement.

Upon completing the Machine Learning with Python certificate course through Bethel University, you will be ready to assume roles in a variety of different industries, including technology and software development, finance and banking, healthcare, E-commerce and marketing, and automotive and robotics.

*Program length when completed in normal time.
**https://www.bls.gov/ooh/math/data-scientists.htm 

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