Data Science Applied Project INFO 9001 Distance Learning Online OntarioLearn Email to a Friend OntarioLearn description: In the field of data science, the ability to craft sound recommendations and propose business strategies based on small or large data sets is essential. Students work through a full data cycle to verify data, develop visualizations of multivariate data, and construct predictive analytics visualizations. In this hands-on project-based course, students perform exploration, analysis and prediction processes while using appropriate visualization, reporting techniques and best practices to present findings and recommendations to stakeholders. This is a capstone course and therefore intended to be the last course that students complete in the program. Note(s) Course Delivery Method: This is an online course delivered via OntarioLearn. Teacher support will be available via email, and technical support will be available via phone. Technical/Computer Requirements: Refer to the basic technology requirements for OntarioLearn online courses. Prerequisite(s) You must have completed all the other courses in the Data Science Certificate. Recommendation(s) You will have the most success in this course if you already have a post-secondary education in a field related to computer science or mathematics or you already have a basic understanding of programming concepts and linear algebra before you start this course. Contact Information 416-415-5000, ext. 6543 firstname.lastname@example.org Course Section(s) Available CRN: F16457 Date(s) 10 Sep 2019 – 17 Dec 2019 Hours: 42 Fee: $399 Note: Registration Deadline: Sep 14 CRN is Closed CRN: W51992 Date(s) 14 Jan 2020 – 21 Apr 2020 Hours: 42 Fee: $399 Note: Registration Deadline: Jan 18 Register Now CRN: S83099 Date(s) 12 May 2020 – 18 Aug 2020 Hours: 42 Fee: $399 Note: Registration Deadline: May 16 Register Now Some courses require you to purchase a textbook. The cost of the textbook is not included in the course fee unless otherwise indicated. If there is a textbook assigned for this course, it will be listed on the bookstore website.