Data Science - Statistics and Machine Learning, Short Course | Part time online | Coursera | United States
3 months
Duration
Free
Free
Unknown
Tuition fee
Anytime
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Apply date
Anytime
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Start date

About

This Data Science - Statistics and Machine Learning Specialization offered by Coursera in partnership with Johns Hopkins University continues and develops on the material from the Data Science: Foundations using R specialization. 

Visit the Visit programme website for more information

Overview

Build models, make inferences, and deliver interactive data products.

It covers statistical inference, regression models, machine learning, and the development of data products. In the Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, learners will have a portfolio demonstrating their mastery of the material.

The five courses in this Data Science - Statistics and Machine Learning Specialization offered by Coursera in partnership with Johns Hopkins University are the very same courses that make up the second half of the Data Science Specialization. This specialization is presented for learners who have already mastered the fundamentals and want to skip right to the more advanced courses.

Applied Learning Project

E​ach course in this Data Science: Statistics and Machine Learning Specialization includes a hands-on, peer-graded assignment.  To earn the Specialization Certificate, you must successfully complete the hands-on, peer-graded assignment in each course, including the final Capstone Project.

Programme Structure

Courses include:

  • Statistical Inference
  • Regression Models
  • Practical Machine Learning
  • Developing Data Products
  • Data Science Capstone

Key information

Duration

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

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online
  • Self-paced

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.

Other requirements

General requirements

Intermediate Level

  • Some related experience required.

Tuition Fee

To always see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 3 months.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 3 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, an annual subscription that provides 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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