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Certificate in Big Data Analytics

Certificate in Big Data Analytics

Harness the power of data to drive your career forward

Next Enrolment

September 13th, September 17th, September 24th, October 1st

Tuition

$3,299

Overview

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

Leverage data-driven insights to help your organization keep pace with industry trends and stay competitive.

What you will learn

Featuring two learning formats—blended or intensive—our part-time Certificate in Big Data Analytics will help you develop expertise across the data analytics lifecycle. This program will help you:

  • Develop an up-to-date understanding of contemporary data analytics
  • Work with industry-standard data analytics software applications
  • Learn data analytics foundations, basic and advanced methods for analysis, and relevant tool sets

Program Benefits

  • Curriculum created in collaboration with data science leaders across several sectors
  • Learn from practicing data analytics instructors
  • Participate in experiential learning activities, including an end-to-end analytics project with a real-world business
  • Advance through the program with the same peer cohort and build your professional network

The Big Data Analytics Program also allows you to earn one or two distinct certificates to get an edge over your competition. You can choose to enrol only in the initial certificate or in both certificates as a bundle to complete the full program.

Certificate in Big Data Analytics (6 months)
Suitable for individuals who want to acquire foundational knowledge of data analytics and apply it to their core industry such as business, finance, IT or marketing.

Certificate in Advanced Data Science and Predictive Analytics (6 months)
Build on the initial certificate to further develop the skills required to pursue a career in the field of Data Analytics.

Intensive:
Format: Intensive
Delivery: Online coursework + required live-online sessions
Live Session Schedule: Alternate Tue. evenings and Sat. mornings
Program Length: 11 weeks 

Part-Time:
Format: Part-Time, Online
Delivery: Online coursework + required class sessions
Live Session Schedule: Biweekly class sessions (live-online and on-campus options)

Program Length: 6 months 

Bundle with:

  • Certificate in Advanced Data Science and Predictive Analytics
  • Certificate in Machine Learning

Career Potential

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:
  • Financial Analyst
  • HR Analyst
  • Junior Data Analyst
Gain These Cross-Functional Skills:
  • Critical Thinking
  • Presentation skills
  • Data Mining

Who should take this program?

The Certificate in Big Data Analytics is ideal for:
  • Professionals looking to advance in their current analytics career
  • Professionals looking to increase their data literacy
  • Specialists in the marketing, insurance, finance, or human resources field who want to leverage big data in their roles

“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)

Enrolment Requirements

This is a direct registration program. No application process is required; simply enrol in the session of your choice to get started.

The bundle option that includes the Certificate in Big Data Analytics and the Certificate in Advanced Data Science and Predictive Analytics is a direct registration program. No application process is required; simply enrol in the session of your choice to get started.

Delivery Format

Part-Time – Blended

  • Courses combine in-person learning, on campus at York (or Live Online via Zoom during COVID-19) plus online learning
  • The live components are held at a scheduled day and time, on campus at York (or Live Online via Zoom during COVID-19)
  • The online delivery is asynchronous, which means that while students have set deadlines to complete their work each week, they do not have any required “live” components
  • Students should expect to dedicate approximately 8-10 hours of effort per course each week for readings, discussions boards, practice opportunities, assignments, and so on

Part-time – Intensive

  • Students will complete a full certificate in 11 weeks*
  • Courses combine in-person classes at York University’s Keele campus, as well as Live Online and online learning
  • Up to 6 hours of scheduled live instruction is required each week
  • The online delivery is asynchronous, meaning students are free to work at their own pace, as long as they meet course deadlines
  • Students should expect to dedicate approximately 10-15 hours per course each week for readings, discussion boards and assignments

*Please note: courses that were typically completed in 8 weeks in a blended format will now be completed within 4 weeks in this intensive format.

Courses (Big Data Analytics)

CSDA1100 Data Analytics for Business

This course provides an introduction to data analytics and how it enables and drives value creation for organizations across industry sectors. A high-level overview of the end-to-end data and analytics solution process is provided. Various data sources will be discussed and a framework to turn raw data into value will be presented. In this course students will carry out data analyses using various methods.

4 Classes

36 Hours

CSDA1110 Introduction to Data Science

This course provides an introduction to data science and predictive modeling. Students will leverage the data and analytics solution process to develop well-defined business problems and apply data science and predictive modeling techniques to generate solutions. Supervised and unsupervised learning will be introduced and several algorithms will be discussed. Students will work in groups on projects that deliver practical data and analytics solutions.

4 Classes

36 Hours

CSDA1120 Accessing Data for Analysis

Students will learn to access common data provisioning technologies to support their analytics requirements. The course presents classic data approaches rooted in variations of data warehouses and data marts. Extensions to these concepts that support big data processing are then introduced. Students will learn why data storage technologies have evolved to support big data analytic workloads. Students will learn to access relational databases using SQL and NoSQL document and graph databases using vendor specific query languages. Data governance concepts are introduced to help students understand the concepts of “data assets” and “data lifecycle management.” Metadata will be described in the course from both conceptual and practical perspectives.

4 Classes

36 Hours

Instructors

Mayy Habayed Big Data Instructor

Mayy Habayeb

Indu Khatri Instructor Big Data

Indu Khatri

Rick Lambroff Big Data Instructor

Rick Lambroff

James Mwangi Big Data Instructor

James Mwangi

Mark Peco Big Data Instructor

Mark Peco

Preeti Raman Big Data Instructor

Preeti Raman

Hashmat Rohian Big Data Instructor

Hashmat Rohian

Hemant Sangwan Big Data Instructor

Hemant Sangwan

Ghassem Tofighi Big Data Instructor

Ghassem Tofighi

Jennifer Vlasiu Big Data Instructor

Jennifer Vlasiu

Dr. George Wanganga Big Data Instructor

Dr. George Wanganga

Advisory Council

Placeholder _ Cyber PAC Member

Tarundeep Dhot

Placeholder _ Cyber PAC Member

Brent Fagan

Placeholder _ Cyber PAC Member

Jason Garay

Placeholder _ Cyber PAC Member

Boris Kralj

Roland Merbis Big Data Advisory Council

Roland Merbis

Hashmat Rohian

Duncan Rowe Big Data Advisory Council

Duncan Rowe

Placeholder _ Cyber PAC Member

Ian Scott

Placeholder _ Cyber PAC Member

Deepak Sharma

Placeholder _ Cyber PAC Member

Rachel Soloman

Certificate in Big Data Analytics

Fall 2022

Blended
(Online + Live Online Classes)

Course Details +

$3,299.00

Fall 2022

Blended
(Online + Live Online Classes)

Course Details +

$3,299.00

Fall 2022

Blended
(Online + On Campus Classes)

Course Details +

$3,299.00

Fall 2022

Blended
(Online + Live Online Classes)

Course Details +

$3,299.00

Bundle these certificates

Certificate in Big Data Analytics and Certificate in Advanced Data Science and Predictive Analytics

Certificate in Big Data Analytics

Please select an option

Course Details + Course Details + Course Details + Course Details +
Certificate in Advanced Data Science and Predictive Analytics

Please select an option

Course Details + Course Details +

$7,184.00

$6,465.60

Certificate in Big Data Analytics and Certificate in Machine Learning

Certificate in Big Data Analytics

Please select an option

Course Details + Course Details + Course Details + Course Details +
Certificate in Machine Learning

Please select an option

Course Details +

$10,098.00

$6,928.20

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 Big Data Analytics

  • Hadoop
  • Jupyter Hub
  • NOSQL Databases
  • Mongo DB
  • MySQL
  • Neo4J
  • Pandas Libraries
  • Python
  • R
  • SQL

 

 

Certificate in Advanced Data Science and Predictive Analytics

  • Apache Hive
  • Apache Spark
  • Elasticsearch
  • Hadoop
  • Jupyter Hub
  • Kibana
  • Pandas Libraries
  • Python
  • R
  • SQL
  • Weka

Policies & More Info

Technology Requirements for Remote/Online Courses

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

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 may use Google Cloud Platform or an alternative in some courses of the program.

Contact Us

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