Professional Development Certificate in Data Science and Machine Learning

This practical program aims to equip professionals with essential data science and machine learning knowledge and skills needed for a career as a data analyst, machine learning practitioner, or a junior data scientist. Participants have an opportunity to work through all the phases of a complete data science pipeline with structured and unstructured data, formulate a business need or problem into a data science project and select the proper tools and algorithms needed. Focus is placed on interpreting and effectively communicating data insights by using data visualization and storytelling techniques to translate data into business-specific knowledge.

Admission Requirements

• This program is designed for learners who have one of the following: Bachelor of Engineering (B.Eng.), Bachelor of Science (B.Sc.), Bachelor of Commerce in MIS (B.Com MIS), or Bachelor degree in another field and completed the course Introduction to Data Analytics with Python.
• Applicants may also be considered if  they do not meet the above criteria but have extensive and relevant experience in software programming or data analytics and have previously completed relevant coursework in calculus, statistics, or computer science will be evaluated on a case by case basis.
• Minimum of 21 years of age.

What You’ll Learn

• Demonstrate solid understanding of relevant statistical, mathematical concepts and computational tools.
• Apply essential data science tools to ingest, clean, process and analyze various large data sets using batch and streaming modes.
• Work through all the phases of a complete data science pipeline with structured and unstructured data.
• Test and evaluate different machine learning techniques and learn how to select the proper one 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 knowledge.