Certificate in Big Data Analytics

Program Overview | Available Sessions | Program Policies

Big Data Analytics and Advanced Data Science January 2018

This will also add the following products to your cart:

  • CSDA1000 Introduction to Big Data
  • CSDA1010 Basic Methods of Data Analytics
  • CSDA1020 Big Data Analytics Tools
  • CSDA1030 Data Organization for Analysis
  • CSDA1040 Advanced Methods of Data Analysis
  • CSDA1050 Advanced Analytics Capstone Course

$4,999.00 (CAD)

The program provides a comprehensive education in contemporary data analytics. You will learn data analytics foundations, basic and advanced methods, and relevant big data analytics toolsets. In addition to online coursework, you will also attend bi-weekly evening computer labs to access the leading software applications with which many employers require familiarity.

CSDA1000 Introduction to Big Data

Growing opportunities to collect and leverage digital information has given birth to various new areas of data analytics. Gain an introduction to the exciting world of data analytics with emphasis on preparing you for the INFORMS CAP® designation.
Schedule:
From 08-Jan-2018 to 02-Mar-2018
Online and Onsite. Onsite Dates: Thursdays, January 18, February 1 & 15, March 1
# of Classes:
4
# of Hours:
32.00

CSDA1010 Basic Methods of Data Analytics

Exploratory analysis and prediction are among the most common tasks performed people new to the field of big data. Learn the basic components of exploration, visualization, feature engineering and building and applying basic prediction models with an emphasis on practical applications.
Schedule:
From 05-Mar-2018 to 27-Apr-2018
Online and Onsite. Onsite Dates: Thursdays, March 15 & 29, April 12 & 26
# of Classes:
4
# of Hours:
32.00

CSDA1020 Big Data Analytics Tools

The potential insights that big data can provide can be very valuable for organizations. However storing, transforming and analyzing big data can be challenging. Explore the analytics tools that will allow you to apply traditional data analytics and business intelligence skills to big data.
Schedule:
From 30-Apr-2018 to 22-Jun-2018
Online and Onsite. Onsite Dates: Thursdays, May 10 & 24, June 7 & 21
# of Classes:
4
# of Hours:
32.00

CSDA1030 Data Organization for Analysis

Study the evolution of approaches to data provision and extensions that support big data. Learn data provisioning techniques to support new types of big data and the related analytic demands and workloads applied to it. You will capture, store and understand how to provide metadata to processes and analysts who require it.
Schedule:
From 03-Jul-2018 to 24-Aug-2018
Online and Onsite. Onsite Dates: Thursdays, July 12 & 26, August 9 & 23
# of Classes:
4
# of Hours:
32.00

CSDA1040 Advanced Methods of Data Analysis

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.
Schedule:
From 27-Aug-2018 to 19-Oct-2018
Online and Onsite. Onsite Dates: Thursdays, September 6 & 20, October 4 & 18
# of Classes:
4
# of Hours:
32.00

CSDA1050 Advanced Analytics Capstone Course

Exercise the skills acquired in the previous five courses as you analyse a case study with data sets. This hands-on course requires analyzing a real-life scenario, including data collection, preparation, integrating, modelling and analyzing and will result in a practical example that you can use to demonstrate your skills and knowledge to potential employers.
Schedule:
From 22-Oct-2018 to 14-Dec-2018
Online and Onsite. Onsite Dates: Thursdays, November 1, 15 & 29, December 13
# of Classes:
4
# of Hours:
32.00

Confidentiality and Financial Security

Given the experiential and practical nature of the courses and the application of Ontario’s Freedom of Information and Protection of Privacy Act (FIPPA) to York University, The School of Continuing Studies works to ensure that instructors and participants acknowledge and respect the privacy and confidentiality of personal information that may be presented in the context of instruction. Instructors will limit the amount of personal information that is collected, used or disclosed in their sessions, and will ensure that all identifying personal information (including proper name, address, etc.) is omitted from all written documents in order to protect personal privacy and confidentiality. Instructors should not bring or share personal or other confidential files or records with the class or allow students to do so.

We are committed to protecting your privacy and your financial security, and we do this in several ways:

  • Your credit card information is never received or stored by our system. Only your financial institution has access to your credit card information.
  • Your Student Portal is password-protected. To access any personal and academic information, you must enter your username and portal password.

York University Privacy Policy

How to Register

Online – Visit our website at continue.yorku.ca to register in any course or program offered by the School of Continuing Studies.

All registrations are processed on a first-come, first-served basis, so early registration is recommended.

The School of Continuing Studies reserves the right to alter fees, other charges, instructors and course dates/locations described in this brochure.

Fees

Instalment Plan Policy

The School of Continuing Studies allows students in certificate programs the option of paying in two or more instalments. You must pay the initial payment as stated below and then you can create a payment schedule that works for you, as long as the balance is paid before the stated due date.

The instalment plan comes with a one-time, non-refundable administrative fee of $125 due at the time of registration. The following are the details of the instalment plan policy according to the program you have registered for:

  • Certificate in Big Data Analytics– The first payment of $1299.00 (CAD) is due upon registration with the balance due by program start date.
  • Certificate in Advanced Data Science and Predictive Analytics– The first payment of 1599.00 (CAD) is due upon registration with the balance due by program start date.
  • Bundle package for both programs (Certificate in Big Data Analytics + Certificate in Advanced Data Science and Predictive Analytics) – The first payment of 2475.00 (CAD) is due upon registration with the balance due by the program start date.
  • Customized payment plans are available to align to employer policies, but are not available for individuals. For further information please contact the Registration and Student Records Coordinator at 416-736-5616.
  • A student that fails to make instalment payments as required will not be permitted to continue in the program.

Mailing Address and Changes in Personal Status

All correspondence, including your registration confirmation, will be sent to the email address provided at the time of registration.
To maintain accurate student records, notification of any changes to your name, address and contact information are required. To update your personal information:

  • Log in to the Student Portal with your student ID and password and update your personal information

OR

OR

  • submit a written request to the Registration and Student Records Coordinator at continue@yorku.ca

All name-change requests must be accompanied by official documentation justifying such a change.

We will not accept telephone requests to change a name or address.

Education and Amount Certificates (Income Tax Receipts) (T2202A)

Income Tax receipts will be available online in February of the following year. Please refer to the income tax guide for allowable deductions.

Session Transfer

Students must contact the Program Manager for permission to transfer to another session.

Transfer requests are only granted for documented medical reasons. Please contact the program manager for information on the required documentation.

Withdrawal from the Program

Students registered in a part-time program that is less than 1 year in length may withdraw from the program. However, they are strongly advised to consult with the Program Manager before a final decision is made. A full refund is granted only when the School of Continuing Studies cancels a program. Refunds will be issued using the initial method of payment or by cheque, if original payment was made by money order. Withdrawal requests must be submitted on the official School of Continuing Studies Withdrawal Request Form to the School of Continuing Studies and subject to the terms listed below.

  • If you withdraw 7 calendar days prior to the start of the program, you will receive a 75% refund of program tuition instalment and no academic penalty.
  • If you withdraw between 6 calendar days prior to the start of the program to 7 calendar days after the start of the program, you will receive a 50% refund of program tuition instalment and a $50 administrative fee and no academic penalty.
  • No refunds will be issued after the first 7 days of the program.

Notification of change or cancellation of classes

When necessary, the School of Continuing Studies may alter, postpone or cancel classes. In these instances, students will be notified by email, based on the information provided at the time of registration.
Cancellations or changes will also be posted on the School of Continuing Studies Twitter account

Cancellation of courses/programs – Fee Refunds

The School of Continuing Studies reserves the right to withdraw or cancel programs/courses. Should a course or program be withdrawn or cancelled, the School will issue a full refund of fees paid.

University Policy on Student Conduct

  • Students and instructors are expected to maintain a professional relationship characterized by courtesy, collegiality and mutual respect, and to refrain from actions that would be disruptive to such a relationship;
  • It is the responsibility of the instructor to maintain an appropriate academic atmosphere in the classroom, and the responsibility of the student to cooperate in that endeavour; and,
  • The instructor is the best person to decide, in first instance, whether such an atmosphere is present in the class, and may, at their discretion, take steps that they feel are appropriate to resolve an issue or dispute.

In any case where a student feels that this policy has been violated, they are urged to notify the instructor of the course/program as soon as possible. Students may be asked to provide a detailed written description of their complaint to the instructor. The instructor may take measures they feel are appropriate to resolve the issue and/or may forward the complaint to the Program Manager for review. Please refer to the full policy document on the York University website at: http://www.yorku.ca/scdr/

Grading

Students registered in certificate programs will be evaluated using the following categories of achievement:

Grade Grade Point Per Cent Range Description
A+ 9 90-100 Exceptional
A 8 80-89 Excellent
B+ 7 75-79 Very Good
B 6 70-74 Good
C+ 5 65-69 Competent
C 4 60-64 Fairly Competent
D+ 3 55-59 Passing
D 2 50-54 Marginally Passing
E 1 (marginally below 50%) Marginally Failing
F 0 (below 50%) Failing


N
ote: all of the above-noted grades are used to calculate averages and credits.

Definitions of Grading Descriptions

A+ Exceptional. Thorough knowledge of concepts and/or techniques and exceptional skill or great originality in the use of those concepts/techniques in satisfying the requirements of an assignment or course.

A Excellent. Thorough knowledge of concepts and/or techniques together with a high degree of skill and/or some elements of originality in satisfying the requirements of an assignment or course.

B+ Very Good. Thorough knowledge of concepts and/or techniques together with a fairly high degree of skill in the use of those concepts/techniques in satisfying the requirements of an assignment or course.

B Good. Good level of knowledge of concepts and/or techniques together with considerable skill in using them to satisfy the requirements of an assignment or course.

C+ Competent. Acceptable level of knowledge of concepts and/or techniques together with considerable skill in using them to satisfy the requirements of an assignment or course.

C Fairly Competent. Acceptable level of knowledge of concepts and/or techniques together with some skill in using them to satisfy the requirements of an assignment or course.

D+ Passing. Slightly better than minimal knowledge of required concepts and/or techniques together with some ability to use them in satisfying the requirements of an assignment or course.

D Barely Passing. Minimum knowledge of concepts and/or techniques needed to satisfy the requirements of an assignment or course.

E Marginally Failing.

F Failing.

If you do not pass a course (achieve a final grade below 50% or D) you will still be permitted to continue in the Program but will have to repeat that course with another cohort.

Grade Appeal and Reappraisal and Petitions

Students may, with sufficient grounds, request a reappraisal of any “tangible” work required for a course/program. Tangible work may include written, graphic, digitized, modelled, video recording or audio recording formats. Students seeking a grade reappraisal must complete and submit the attached form, along with the original work and instructions for the assignment, to the Program Manager within 2 weeks of the date of issue of the letter of grade.
Students and instructors will be informed in writing of the reappraisal result and the reappraiser’s comments. The School of Continuing Studies will ensure the anonymity of both the student and the reappraiser.

Download a Grade Reappraisal form

Financial Petitions

You may submit a financial petition if you experience a serious documented medical illness or a death of an immediate family member that causes you to drop courses. Financial petitions may be granted at the discretion of the University, and will be considered for a period of one year after the occurrence of the illness or death.

The Financial Petition form is located here: http://sfs.yorku.ca/refunds/petitions/

Please complete the form and return it via email continue@yorku.ca or via fax at 416-650-8042.

This will also add the following products to your cart:

  • CSDA1000 Introduction to Big Data
  • CSDA1010 Basic Methods of Data Analytics
  • CSDA1020 Big Data Analytics Tools
  • CSDA1030 Data Organization for Analysis
  • CSDA1040 Advanced Methods of Data Analysis
  • CSDA1050 Advanced Analytics Capstone Course

$4,999.00 (CAD)