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Certificate in Advanced Data Science and Predictive Analytics

Certificate in Advanced Data Science and Predictive Analytics

Level up your data science toolkit

Direct Registration

Please contact a Continuing Studies Advisor to inquire about direct registration into the Advanced certificate.

Overview

COVID-19 Updates and changes to program delivery. More information >

Increase your hands-on experience with data analytics and develop the skills and confidence to establish a career within this growing field.

Why take the Certificate in Advanced Data Science and Predictive Analytics?

The Certificate in Advanced Data Science and Predictive Analytics builds on the initial Certificate in Big Data Analytics to further develop the skills you need to pursue a career in the field of Data Analytics. This program will train you to use data to identify and leverage key business and organizational opportunities and turn your findings into recommendations and solutions, allowing you to lead positive change in your work environment.

What you will learn

You will learn relevant data analytics tool sets, advanced methods for data analysis and apply your knowledge with a hands-on capstone course that includes analyzing real-life scenarios. To enrol directly in the Certificate in Advanced Data Science and Predictive Analytics, you must successfully complete the initial Certificate in Big Data Analytics or be able to demonstrate equivalent education/work experience.

Program Benefits

We created this program in collaboration with data science leaders across several sectors, to ensure your learning experience satisfies the needs and expectations of local and national employers. You will practice techniques and develop knowledge through a series of experiential learning activities, including an end-to-end analytics project with a business, giving you hands-on experience that will help you establish or advance your career in this discipline. Plus, our unique student-cohort program model will allow you to develop a rich network of professional contacts after you graduate.

Format: Part-Time, blended
Delivery: Online coursework + ­required live-online sessions
Live Session Schedule: Bi-weekly 3-hour classes
Program Length: 6 months
Term Starts: Winter, Fall

 

Introducing Live Online Learning

To make our programming even more accessible, and to ensure the safety of students and instructors, we are now offering the in-class course components for professional programs completely online.

Career Potential

If you are currently working in analytics or a related field, this program can train you to identify and leverage key opportunities to support your organization’s strategic objectives, making you indispensable to any employer. Even if you aren’t working in the field of data analytics, this program will allow you to develop an invaluable skill set in any industry, enabling you to grow your career options.

Industry Information

Representing one of the largest talent shortages in Canada, data analytics opportunities are exploding in every sector—from marketing to financial services to professional sports. The Greater Toronto Area is at the epicentre of this talent gap. Employers frequently report that they can’t find qualified candidates and are heavily investing in re-training their workforce.

With open access to complex data sets, the introduction of new data software applications, and the increased applicability of data analytics to new market segments, the demand for qualified candidates will continue to grow. Big data is changing our world. It’s time to change with it.

Get hired for jobs like:

Data Analyst
Business Analyst
Database Scientist

Gain these skills:

Advanced data analysis
Model building
Visualization and storytelling.

Who should take this program?

This program can help you advance in your current data scientist career or increase your data analytics skill set while still working within a business-oriented management or leadership role. The program is also ideal if you are a specialist in another field like marketing, insurance, finance, or human resources, and want to confidently leverage data to excel in your sector.

 

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“Today more than ever, analytics play a crucial role in creating a positive customer experience. As a member of the program’s advisory council, I look forward to working with York University to help establish an analytics program that will set students up for success and close the skills gap for employers.”

Roland Merbis – Director of Customer Insights & Analytics at Scotiabank (Advisory Council Member)

How Can a Certificate In Big Data Analytics Provide Practical Experience?

Sohaib Zaid — Certificate in Big Data Analytics Graduate

Program Courses

CSDA2000 Big Data Management and Tools

As organizations gather more and more data from their business processes, traditional computer systems and tools cannot handle the massive volume of data. Distributive computing platforms and tools are needed to digest, store and retrieve data.  This course looks at distributive tools for data analysis, machine learning, data digestion and visualization.  These tools are employed in real world examples to find trends and make informed business decisions.

CSDA2010 Advanced Methods of Data Analysis for Management

Discover the complete process of building prediction functions, including data collection, feature creation, algorithms, and evaluation in this advanced course. A range of machine learning model based and algorithmic machine learning methods will be introduced. You’ll also learn how to apply learning algorithms to mining social media and network (sentiment, influence), text understanding (web search, anti-spam), database mining, and other areas.

CSDA2020 Advanced Analytics Capstone

Exercise the skills acquired in the previous courses as you work end-to-end on an analytics project. Students have an opportunity to select to either work: a) with a business on a sponsored project, or b) independently on their own project. This hands-on course requires defining the business problem, scoping out the project, review and preparing of collected data, as well as integrating, modelling and analyzing the data. Students are expected to also derive insights and offer recommendations based on their analysis.

Enrolment Requirements

To enrol directly in the Certificate in Advanced Data Science and Predictive Analytics, you must have successfully completed the Certificate in Big Data Analytics first or be able to demonstrate equivalent education/work experience. Direct enrolment into the Advanced Certificate is subject to review and approval by the Program Manager.

Program Software

Software

The list below provides an overview of the different software that may be used in our courses. As our program keeps up-to-date with current industry demands, please note that the actual software used and taught within each program is subject to change.

Certificate in Advanced Data Science and Predictive Analytics

  • Apache Hive
  • Apache Spark
  • Elasticsearch
  • Hadoop
  • Jupyter Hub
  • Kibana
  • Pandas Libraries
  • Python
  • R
  • SQL
  • Weka
Computer Requirements for this Program

All students will require access to a personal computer while in the Data Analytics program. Students will need to install various software programs throughout the program. Directions on what and how to download and install will be provided within the respective courses. The program recommends that students run with the following:

  • Microsoft Windows 7, 8.1 or 10 / Mac OSX 10.9 or above / Linux operating system
  • Intel Core i5 (or AMD equivalent) recommended; at minimum an Intel Core i3 (or AAMD equivalent) is required
  • 8 GB RAM
  • 20 GB disk space

Students will use Google Cloud Platform in this program. Students are permitted to work locally, and not on the cloud, if they choose.

Instructors

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Saber Amini

Project Manager, Intransigense

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Zeyad Azem

Leadership Partner, Data and Analytics, Gartner

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Mayy Habayeb

Professor, School of Engineering and Applied Science, ICET Centennial college

Indu Khatri

Machine Learning Engineering Lead, Toronto DS&E Lab, HSBC

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Rick Lambroff

Big Data Analytics Instructor, York University

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James Mwangi

Data Science and Analytics Consultant

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Mark Peco

Principal Consultant, Camar Solutions Inc

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Preeti Raman

Managing Director, Addity

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Hashmat Rohian

Vice President, Enterprise Architecture, IT Strategy & Applied Innovation, Cooperators Group of Companies

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Hemant Sangwan

Data Science Mentor, SharpestMinds

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Ghassem Tofighi

Director, Sina Media Lab

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Jennifer Vlasiu

Former AI Director, Bell

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Dr. George Wanganga

Automation Developer, Moneris Solutions

Advisory Council

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Hashmat Rohian

Assistant Vice President & Managing Enterprise Architect, Co-Operators Group of Companies

Tarundeep Dhot

Principal Consultant, Capco

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Duncan Rowe

Manager, Analytics and Visualization, Corporate Services Department, Regional Municipality of York

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Roland Merbis

Director, Sales & Channel Analytics, Scotiabank

Rachel Soloman

Executive Director, Performance Improvement, CAMH

Ian Scott

Partner and Chief Data Scientist, Strategic Analytics And Modelling, Deloitte Analytics

Boris Kralj

Chief Information and Analytics Officer, Ontario Medical Association

Deepak Sharma

Director, Health Information Management, Business Intelligence, North York General Hospital

Brent Fagan

Consultant, Data & Analytics, KPMG

Jason Garay

Vice President, Analytics and Informatics, Cancer Care Ontario

Policies & More Information

Technology Requirements for Remote/Online Courses

Please review the technology and software requirements you will need to access our courses remotely.

Contact Us

Ask us anything about this program and we’ll get back to you within 2 business days.