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
CA180
Location
Online
Instructor(s)
Johns Hopkins University
Competencies
Communication, Critical Thinking, Personal Effectiveness, Machine Learning, Algorithms, Predictive Analysis
Method of Delivery
Digital
Estimated Effort
8 hrs
Cost
33.25$/month
Can audit for free (no certification); Full Financial Aid Available for Certification