Official Description

9.0 Continuing Education Units (CEUs)

Integration and application of knowledge and skills gained during the program through hands-on projects supported by our industry partners to build a full data science pipeline from preparing, analyzing and visualizing data to building and testing models. Communication and presentation of insights and recommendations derived from data analysis using visualization and storytelling techniques.


Supplementary Information

20 hours of lectures and 70 hours of independent study; course consists of synchronous and asynchronous activities.

Topics Covered

  • Key Tools and Techniques for the Capstone Project   
  • Exploratory Analysis  
  • Feature Engineering  
  • Predictive Modelling
  • Data Visualization and Storytelling
  • Executive Presentations and Reports

Learning Outcomes

The course is designed to enable you to:
  • Apply essential data analysis tools to ingest, clean, process and analyze various large data sets
  • Work through all the phases of complete data problem science pipeline
  • Apply different analysis and modelling techniques such as descriptive statistics, regression analysis, machine learning, among others, to solve a business problem
  • Formulate a business need or problem into a data science project and select the proper tools and algorithms needed
  • Interpret and effectively communicate data insights by using data visualization and storytelling techniques and translate them into business-specific know


This course is supported by DataCamp, the most intuitive learning platform for data science. Learn R, Python and SQL the way you learn best through a combination of short expert videos and hands-on-the-keyboard exercises. Take over 100+ courses by expert instructors on topics such as importing data, data visualization or machine learning and learn faster through immediate and personalized feedback on every exercise.

Once registered, students get free access to DataCamp for 6 months and Tableau Desktop and Alteryx Designer for the duration of the course. 

Prerequisite(s) and Corequisite(s)

  • For students enrolled in the PDC in Data Analytics for Business:
    • Data Science for Business Decisions (YCBS 256)
    • Statistics for Business Decision Making (YCBS 260)
    • Data Analytics Fundamentals (YCBS 261)
    • Leading Data Science Project Team (YCBS 262)
  • For students enrolled in the PDC in Data Science and Machine Learning:
    • Statistical Machine Learning (YCBS 255)
    • Data Science for Business Decisions (YCBS 256)
    • Data at Scale (YCBS 257)
    • Practical Machine Learning (YCBS 258)
Section(s) offered
Section Title
Data Science Capstone Project
Language of Delivery
Online Course, fixed date
6:00PM to 9:00PM
Sep 06, 2023 to Nov 08, 2023
Schedule and Location
Contact Hours
Delivery Format(s)
Course Fee(s)
Fee non-credit $1,377.60 Click here to get more information
Drop Request Deadline
Jun 01, 2023 to Sep 13, 2023
Transfer Request Deadline
Jun 01, 2023 to Sep 13, 2023
Withdrawal Request Deadline
Sep 13, 2023 to Sep 20, 2023
Section Notes

A minimum number of registrations is required for this course section to be offered. The School reserves the right to cancel any course section when a minimum number of registrations has not been reached 7 days prior to the start date. In the event of a cancellation, the course fee will be refunded in full.

Course Format

This online course is a combination of weekly live online instructor-led sessions from 6:00 - 7:30 PM and self-directed learning activities and assignments.

Course Drop/Withdrawal Policy

  • Any time prior to the 1st class: Course Drop Period with Full Refund.
  • After the 1st and before the 2nd class: Course Withdrawal Period with Full Refund.
  • After the 2nd class before the 3rd class: Course Withdrawal with No Refund.


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