Machine Learning Rock Star - the End-to-End Practice, Short Course | Part time online | Coursera | United States
1 months
Duration
Free
Free
Unknown
Tuition fee
Anytime
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Apply date
Anytime
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Start date

About

An End-to-End Guide to Leading and Launching ML. This expansive machine learning curriculum is accessible to business-level learners and yet vital to techies as well. The Machine Learning Rock Star - the End-to-End Practice Specialization offered by Coursera in partnership with SAS covers both the state-of-the-art techniques and the business-side best practices.

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Overview

The Machine Learning Rock Star - the End-to-End Practice Specialization is offered by Coursera in partnership with SAS.

What you'll learn

  • Lead ML: Manage or participate in the end-to-end implementation of machine learning

  • Apply ML: Identify the opportunities where machine learning can improve marketing, sales, financial credit scoring, insurance, fraud detection, and much more

  • Greenlight ML: Forecast the effectiveness of and scope the requirements for a machine learning project and then internally sell it to gain buy-in

  • Regulate ML: Manage ethical pitfalls, the risks to social justice that stem from machine learning – aka AI ethics

Skills you'll gain

  • Predictive Analytics
  • Ethics Of Artificial Intelligence
  • Artificial Intelligence (AI)
  • Data Science
  • Machine Learning
  • Machine learning strategy and leadership
  • Machine Learning (ML) Algorithms

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from SAS

Programme Structure

Courses included:

  • The Power of Machine Learning: Boost Business, Accumulate Clicks, Fight Fraud, and Deny Deadbeats
  • Launching Machine Learning: Delivering Operational Success with Gold Standard ML Leadership
  • Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls

Key information

Duration

  • Part-time
    • 1 months
    • 10 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Tuition Fee

To always see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 months.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 months.

You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus and have unlimited access

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. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

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