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Overview

There is a lot of hype around machine learning and many people are concerned that in order to use machine learning in business, you need to have a technical background. For reasons that are covered in this Machine Learning for Business Professionals offered by Coursera in partnership with Google Cloud, that's not the case. 

In actuality, your knowledge of your business is far more important than your ability to build an ML model from scratch.

By the end of this course, you will have learned how to:

  • Formulate machine learning solutions to real-world problems
  • Carry a project through various ML phases including training, evaluation, and deployment
  • Discover ML use cases
  • Be successful at ML
  • Identify whether the data you have is sufficient for ML

  • Perform AI responsibly and avoid reinforcing existing bias

Detailed Programme Facts

Programme Structure

Courses include:

  • Introduction
  • What is Machine Learning?
  • Employing ML
  • Discovering ML Use Cases
  • How to be successful at ML
  • Summary

English Language Requirements

This programme may require students to demonstrate proficiency in English.

General Requirements

Intermediate Level

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You’ll be prompted to complete an application and will be notified if you are approved.

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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