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Data Analytics Post-Graduate Certificate


Start Date: September


Location: Tourism & Culinary Centre


Length: 1 Year


Credential: Post-Graduate Certificate, Data Analytics


Program Availability: Fall 2024 Term

Canadian Applicants: Open

International Applicants with a Valid Study Permit: Open

Other International Applicants: Closed


Learn to Make Data-Driven Decisions


As a student in this program, you will learn how to use historical and current data to predict future outcomes, as well as analyze information and data to prepare thoughtful insights and recommendations. You’ll learn to collect, sort, and analyze data efficiently and use predictive analytic techniques like statistical modelling and forecasting to prepare insights, predict problems, and improve outcomes.

Using prescriptive analytics tools, you will: apply logic and mathematical principles to data, study optimization and simulation techniques, and prepare recommendations to support decision-making processes. You’ll also explore advanced concepts in data analytics to learn how natural language processing, deep learning, and artificial intelligence can be integrated into research and reporting. Graduates of this program will possess the knowledge, skills, and aptitude to apply fundamental principles of data analytics, aligning data with business to make data-driven decisions.

Gain Practical Experience


You’ll learn skills that you can apply to projects in a wide range of industries, and then you’ll put your new applied learning to the test by completing a capstone project with an industry partner. Not only will your capstone project give you the opportunity to demonstrate a comprehensive understanding of the skills you have developed, you’ll meet key players in local organizations so that you can start building your professional network. In addition, you’ll have access to the college’s Business Analytics Centre for use with industry-based clients.

Program Learning Outcomes


Upon successful completion of the Data Analytics program graduates will:
  1. Support decision-making by analyzing and interpreting business data through established data science methodologies, including ETL processes and modeling.
  2. Integrate data analytics with business processes to advance organizational goals and decision-making.
  3. Build presentations that communicate data analysis effectively and accurately for a business audience using visualizations (dashboards) and storytelling. 
  4. Perform statistical and algorithmic analyses on cloud-based and on-premises data sets using various tools and techniques.
  5. Explain the use of machine learning and artificial intelligence as it relates to data analytics.
  6. Use industry-recognized programs and tools to extract meaning from data.
  7. Connect strategic, tactical, and operational business processes with data-driven decision-making.
  8. Apply fundamental data analytics principles, aligning data and business processes to create accurate, actionable insights.
  • Post-secondary diploma or degree
  • Résumé including work and volunteer experience with applicable dates, membership in groups, associations or athletics, awards and distinctions, and any other information about yourself relevant to the program.

Notes

  • If your first language is not English please review our English Language Requirements page.
  • Preference will be given to applicants who have a post-secondary background in computer science (such as CIS or CNET), information systems, statistics and/or mathematics

2024/2025 Academic Year

Tuition, fees, and other costs are listed in Canadian dollars. International tuition includes the International Student Fee.

1 Year

Canadian

International

Tuition $7,263 $13,263
Fees $828 $1,578
Other Costs $664 $664
Total $8,755 $15,505

Students are required to bring their own laptop which must meet the following technical specifications:

  • Processor with minimum 4 cores or more, Intel Core i5 10th generation, AMD Ryzen 5 5000 Series or equivalent
  • Minimum 12GB RAM
  • 512GB SSD or NVME
  • 802.11 ac Wireless
  • Minimum 1 USB 3.0 port
  • Integrated or External Webcam
  • Audio headset
  • Windows 10/11 Home or Professional Operating System with latest updates applied

 

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Canadian Cost Breakdown

Tuition & Fees

1 Year

Tuition $7,263
Student Union Fee $178
Health & Dental Insurance $470
Fitness Fee $80
Graduation Fee $100
     Total (payable to Holland College) $8,091
   

1st installment due first day of first semester

$4,460

2nd installment due first day of second semester

$3,632
   

Other Costs
Please note: the cost of books is included here for your information only, this amount is not payable to the college. Do not include this amount in your tuition payment.

 
Books $500
On-Site Parking (payable to Holland College) $164
     Total $664
   
Grand Total $8,755

International Cost Breakdown

Tuition & Fees

1 Year

Tuition* $13,263
Student Union Fee $178
Health & Dental Insurance $1,220
Fitness Fee $80
Graduation Fee $100
     Total (payable to Holland College) $14,841
   

1st installment due first day of first semester

$ 11,210

2nd installment due first day of second semester

$3,632
   

Other Costs
Please note: the cost of books is included here for your information only, this amount is not payable to the college. Do not include this amount in your tuition payment.

 
Books $500
On-Site Parking (payable to Holland College) $164
    Total $664
   
Grand Total $15,505

*Includes the International Student Fee.

  • Business analyst 
  • Data analytics analyst 
  • Data steward 
  • Business intelligence analyst 
  • Data and reporting analyst 

Course Code

Course Name & Description

Credit Values


Course Code:SAFE-1005

PEI Occupational Health and Safety

An overview of the Occupational Health and Safety Act of Prince Edward Island. Students examine the legislation, how PEI employees are protected while on the job and the responsibilities of employees and employers.

Credit Value:0


Course Code:BUSI-3000

Business Principles

The Business Principles course provides an overview of business organizational elements, behaviours and practices as applied in Canada and globally.

Credit Value:3


Course Code:DATA-3100

Data Literacy

In this course, you will learn data manipulation and modelling skills. You will gain insights into the formats and styles of data that can be collected, developed, and queried. Using data analysis, you will develop a story that can be communicated to inform organizational decisions.

Credit Value:3


Course Code:DATA-3105

Business Context for Data Analysis

Introduces the use of data to meet the needs of an organization and apply data in decision making. Understand a balanced approach to integrating data decisions in business processes and strategic alignment.

Credit Value:3


Course Code:DATA-3110

Statistical Analysis of Data

Using statistical methods to sort, summarize, and gain insight into data. Using various statistical methods to analyze data sets with the purpose of communication to business decision makers.

Credit Value:3


Course Code:DATA-3115

Predictive Analytics

This course will cover essential analytics models to collect and analyze data efficiently. This will require skills in predictive analytics models, such as data mining, data collection and integration, nodes, and statistical analysis. Tools for market research and data mining in order to predict problems and improve outcomes will be used.

Credit Value:3


Course Code:DATA-3200

Business Analytics With Excel

Using Excel and associated plug-in tools, students will learn how this popular and industry standard software program can be used effectively to analyze data. Running models and analysis tools within the Excel program to present processed data to decision makers.

Credit Value:3


Course Code:DATA-3205

Data Visualization

This course is designed to provide students with a comprehensive understanding of data visualization concepts and techniques by leveraging industry-standard business intelligence software.

Credit Value:3


Course Code:DATA-3210

Advanced Concepts in Data Analytics

In this course students will explore advanced data analysis concepts including machine learning, natural language processing, deep learning, artificial intelligence, and probabilistic programming. Students will also examine trends in predictive and prescriptive analytics, as well as developments in loT and cloud computing.

Credit Value:3


Course Code:DATA-3215

Data Analytics Capstone Project

This capstone project for the Data Analytics program presents the framework for students to complete a synthesis of the program outcomes and learning in a final, demonstrative manner.

Credit Value:6


Additional
Resources