5 Courses Required
 
 

Official Description

This program is designed to equip professionals with essential data science knowledge and skills required to manage, manipulate, analyze and extract value from data. It links mathematical and computational concepts to practical real world, data-driven examples. Focus is on the most frequently used data science tools and languages, including Apache Spark, Hadoop, Tableau, Python, Scala and SQL.

The program aims to prepare professionals to work through a complete data science pipeline, whether for the simple purpose of data exploration and extracting knowledge, or to build machine learning models from the data for specific goals such as prediction or classification. Cross-functional teams work to translate their learnings into business insights to help guide business decisions. This program is available online and in person and contains a combination of live, synchronous and asynchronous activities.

This program is offered in English and must be completed within 2 years.

 

This program is offered in-person and online.

 

Learning Outcomes

  • 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 in order 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
 

Program Toolkit 

  • Apache Hadoop
  • Apache Spark
  • Tableau
  • Github
  • Python
  • Scala
  • SQL

Once registered for courses, students get free access to DataCamp for 6 months.

 

Prerequisites

  • Strong quantitative background
  • Proficiency in Excel, Access, or other data analysis tools
  • Essential programming skills in Python are necessary in order to succeed in this program.*

* Students may take the following online self-assessment tests to establish their level of proficiency in Python: 

Students without any prior knowledge of Python should complete the following online course or similar:

 

Who Should Attend

  • Both established professionals and recent university graduates seeking to acquire essential technical data science and machine learning knowledge and skills or wishing to embark on a career in data science
  • Individuals planning to pursue INFORMS Certified Analytics Professional (CAP®) certification or other similar designations

Additional Details

Application

Program
Professional Development Certificate in Data Science and Machine Learning
Admission Requirements

Applicants must hold a minimum of one of the following degrees:

  • Bachelor of Engineering (B.Eng.); OR
  • Bachelor of Science (B.Sc.); OR
  • Bachelor of Commerce in MIS (B.Com MIS).

OR complete the course YCBS 286 – Introduction to Data Analytics with Python

NOTE: Applications from mature students* who do not meet the above criteria but have extensive 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.

*Applicants who are 21 years of age or older.

Documents required:

Please have electronic versions of the following documents available before starting the application process (clicking on “Apply Now”).
 
  • A copy of your passport (photo ID page) OR Canadian Birth Certificate OR Permanent Resident Card OR Citizenship Card/Certificate

AND

For applicants with a Bachelor of Engineering OR a Bachelor of Science OR a Bachelor of Commerce in Management Information Systems

  • A copy of your Bachelor's degree transcript AND a copy of your diploma. Transcripts in languages other than English or French must be accompanied by an English or French translation provided by the institution issuing the transcript or by a certified translator.

For applicants with a Bachelor's degree in another field AND who have successfully completed the course YCBS 286 – Introduction to Data Analytics with Python

  • A copy of your Bachelor's degree transcript AND a copy of your diploma. Transcripts in languages other than English or French must be accompanied by an English or French translation provided by the institution issuing the transcript or by a certified translator.

For applicants with a Bachelor's degree in another field AND extensive professional experience in software programming or data analytics AND who have previously completed relevant coursework in calculus, statistics, or computer science

  • A letter of intent.
  • A copy of your curriculum vitae (CV).
  • A copy of your Bachelor's degree transcript AND a copy of your diploma. Transcripts in languages other than English or French must be accompanied by an English or French translation provided by the institution issuing the transcript or by a certified translator.

For applicants who do not hold a Bachelor's degree BUT have extensive professional experience in software programming or data analytics AND have previously completed relevant coursework in calculus, statistics, or computer science

  • A  letter of intent.
  • A copy of your curriculum vitae (CV).
  • A copy of your transcript (highest level of education). Transcripts in languages other than English or French must be accompanied by an English or French translation provided by the institution issuing the transcript or by a certified translator.

Courses

Minimum

5 Course(s)

Required fields are indicated by .