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Become a Data Analyst

In our Diploma in Data Analytics, you'll learn how to understand and visualize data to support strategic business decisions.

In British Columbia, this program has been approved by the Private Training Institutions Branch (PTIB) of the Ministry of Post-Secondary Education and Future Skills.

Get ready for an in-demand career helping businesses & organizations make strategic decisions using data.

Explore the most up-to-date methodologies, knowledge, and tools in the data analysis field and build in-demand skills that can get your hired upon graduation. In this program, you'll develop knowledge of market-leading data analysis technologies, including Excel, Power BI, SQL, and Python. Discover how to process, analyze, and present data to answer key questions and support business communications and decision-making. Establish your technical, analytical, and business skills through hands-on exercises and a final project.

A Diploma in Data Analytics can open career opportunities in almost any industry.

The median annual salary of a Data Analyst in Canada is $81,120 CAD that's more than double Canada's average salary in 2020!*

*Salaries may vary depending on the company and position. The average salary for this role is taken from the Government of Canada's Job Bank information for the particular National Occupational Classification (NOC). General Canadian average salary information is based on the Canada Revenue Agency's T1 tax filer data from 2020.

Why Choose the Diploma in Data Analytics.

  • Fast-track your way into a Data Analyst role with high earning potential in this hands-on, job-ready training program.
  • Build your data analysis fluency and use it to solve the world's most interesting problems, with dynamic skills that are adaptable to a range of industries and interests.
  • Learn in just 20 weeks in the academic part of the program. 
  • Choose a co-op to build your Canadian experience and career networks for an extra edge on getting hired upon graduation.
  • Get customized career search and co-op placement support from our Co-op Advising Team who have strong links to industry partner organizations.
  • Develop comprehensive knowledge of industry-standard data technologies and programming tools, including Excel, Power BI, SQL, and Python.
  • Learn from tech industry experts with recent experience in Data Analyst roles.
  • Program curriculum developed by our partner Wawiwa, an experienced tech program development company with global expertise.
  • No previous experience required; however, basic Excel skills are recommended!
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CAMPUS AVAILABLE

  • Vancouver
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PROGRAM LENGTH

ACADEMIC

Morning 20-28 weeks

CO-OP

Morning 40-48 weeks

Academic Morning Schedule includes 20 weeks study + up to 8 weeks scheduled breaks
Co-op Morning Schedule includes 20 weeks study + up to 8 weeks scheduled breaks + 20 weeks co-op placement

Schedules will be adjusted in December to accommodate public holidays. Contact us for more information.

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START DATES

    • Morning
        • Vancouver:
            • 2025: ene 27, feb 24, ago 11, dic 01

Start dates are dependent on enrolment and are subject to change

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SCHEDULED BREAKS

  • Summer Breaks:
    • Morning:
      • jun 17, 2024 - ago 09, 2024
      • jun 16, 2025 - ago 08, 2025
      • jun 22, 2026 - ago 07, 2026
  • Winter Breaks:
    • Morning:
      • dic 23, 2024 - dic 27, 2024
      • dic 22, 2025 - dic 26, 2025
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LANGUAGE LEVEL REQUIREMENT

  • Intermediate 3

    • IELTS: Overall band of 5.5
    • TOEFL IBT: 46-59
    • PTE Academic: 36
    • Cambridge Main Suites Exams: B2 First-grade C  
    • Duolingo: 95-100
    • CAEL: 40
    • Common European Framework: B2

OR Completion of a minimum of three full years of study in a secondary or post-secondary institution where the sole language of instruction is English.

OTHER PROGRAM ADMISSION REQUIREMENTS

View general Greystone College Admission Requirements for your chosen campus.

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CREDIT TRANSFER ELIGIBILITY

Yes, This program offers credit transfer into some of our partner schools. Learn More

Study Schedules

Study schedules apply to all academic parts of your program. If your program includes a Co-op work placement, your work schedule will be determined based on the needs of your employer.

Select Campus:
Vancouver

Morning Schedule

  • Mon-Thu
  • 8:30 AM - 12:30 PM
  • CLASS
  • FLEXIBLE
  • 10.5 Hrs Asynchronous Learning***
  • First Session only
  • Workplace Skills & Tools Course
  • Tue-Thu**
  • 8:30 AM - 1:00 PM
  • WST CLASS
  • Fri**
  • 8:30 AM - 11:30 AM
  • WST CLASS
  • FLEXIBLE
  • 4.5 Hrs Asynchronous Learning***
Total weekly study hours = 22.5

Why Choose Co-op?

Co-op or “co-operative education” combines academic study with a work placement related to your study area. This popular Canadian learning approach provides students with hands-on experience in their study field, quality references, and networks that will give them a competitive edge for finding future work and growing their career.

LEARN MORE ABOUT CO-OP

Take the Diploma in Data Analytics co-op and build work experience in entry-level positions like:

  • Data Analyst
  • Database Analyst or Administrator
  • Marketing Analyst
  • Business Process Analyst
  • Data Visualization Specialist

Career outcomes for this program fall under Canada's National Occupational Classification (NOC) 21223 Database Analysts and Data Administrators.
 

Program Courses

Courses are listed alphabetically and may not be scheduled in this order.

Learn to build and design different reports for different types of data using visualization tools. In this course, you'll create multi- dimensional analysis reports using Excel and will learn to work with data visualization platforms such as Power BI.

Develop the skills and basic knowledge required to understand the data analyst role and capabilities. In this course, you’ll explore tools and methods to evaluate KPIs and learn about the analyst work circle. Get introduced to relational databases and how to derive insights from different kinds of data sets.

Learn how to write basic scripts in Python using different tools and methodologies in order to quickly create and manage data structures. The course aims to provide programming knowledge for data analysts using emerging technologies such as machine learning and big data tools.

Develop the skills and knowledge required to perform analysis on different data structures using SQL. Explore the analyst workflow and learn about the documentation needed to perform business analysis and present the results.

Learn the fundamental skills necessary for the Canadian workplace. Students will learn topics such as oral and written communication, computer skills, and workplace preparation. The course will also cover the necessary skills needed for academic study in their program.

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