Practical Machine Learning

Provided by: Coursera

One of the most common tasks performed by data scientists and data analysts are prediction and machine learning. This course will cover the basic components of building and applying prediction functions with an emphasis on practical applications.

Course Objectives:

  • To cover the complete process of building prediction functions including data collection, feature creation, algorithms, and evaluation.

Recommended Background

  • Recommended for individuals heading towards a career in data science / currently in a business data analyst/scientist role.

Course ID


Skill Focus

Smart Technology


Johns Hopkins University

Employee Type

New Applicants

Method of Delivery


Estimated Effort

8 hrs



Can audit for free (no certification); Full Financial Aid Available for Certification