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1. plus.columbia.edu › course-catalogColumbia+ Course Catalog | Columbia Plus - Columbia University

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   Columbia Engineering. This live online course provides an introduction to the foundations of data, AI, machine learning, and AI strategy in the real estate industry for real estate professionals and those working in real estate technology fields. Effort: $2,000.

2. online1.gsb.columbia.edu › digital-marketingDigital Marketing Online Course at Columbia Business School ...

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   Upon completion of the Digital Marketing (Online) program, you will receive a certificate of participation from Columbia Business School Executive Education. This certificate also awards two credits towards the Certificate in Business Excellence, which grants select alumni and tuition benefits. Learn More.

3. www.edx.orgedX

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   Discover thousands of offerings — from free courses to full degrees — delivered by world-class partners like Harvard, Google, Amazon and more.

4. online-exec.cvn.columbia.edu › applied-machine-learningMachine Learning Online Course | Columbia Engineering - Columbia ...

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   The Applied Machine Learning course teaches you a wide-ranging set of techniques of supervised and unsupervised machine learning approaches using Python as the programming language. Since this course requires an intermediate knowledge of Python, you will spend the first part of this course learning Python for Data Analytics taught by Emeritus.

5. online1.gsb.columbia.edu › executive-program-in-managementExecutive Program in Management | Online and In Person

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   Vor 2 Tagen · The Executive Program in Management from Columbia Business School Executive Education is aimed at leadership development and imparting general management skills to address the needs of senior executives. Participants come from diverse backgrounds and different countries with a minimum of 10 years of work experience.

6. services.columbia.edu › classesClasses | University Services - Columbia University

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   Classes; Classes. Directory of Classes. Student Services Online (SSOL) Keyword filter: Item s. edit {{ item.type | lowercase }} There are no tagged items with the provided keywords. Phone (212) 854-1754. Contact Us [email protected] Follow Us Facebook Twi ...