Practical Analytics & Reporting Microcredential

Develop practical analytics and reporting skills to organize data, uncover insights, and communicate findings clearly. Learn data visualization, dashboards and statistical analysis to create meaningful reports that support informed decision-making.

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Program at a glance

Credential

Microcredential Microcredentials are short, targeted programs that focus on specific skills needed by employers or communities. They are often industry-recognized and can help you enter the workforce quickly or continue your education.

Delivery mode

On-campus All classes take place in-person at one of our campuses.

Time commitment

Full-time You take a regular course load and move through the program at the standard pace. Expect to study most weekdays. Part-time You take fewer courses at once and progress more slowly. This option offers more flexibility for work or personal commitments.

Duration

4 months 150 hours

Program codes

  • Code: MCPAR

Cost

TBD Domestic students:

Location

  • Kelowna Full program offered in Kelowna

Available for

  • Domestic students

Program features

TBD

Program overview

About the program

Data is driving decisions across every industry. This microcredential helps you build the foundational analytics skills needed to work with information, from preparing and analyzing data to creating dashboards and reports that communicate insights clearly.

You'll explore data wrangling, visualization, statistical analysis and analytics reporting while developing practical skills that can support career growth or further study in data analytics, business intelligence and related fields.

Skills you'll learn
  • Data cleaning and preparation
  • Data visualization
  • Dashboard creation
  • Analytics reporting
  • Data storytelling
  • Statistical analysis
  • Data interpretation
  • Problem-solving
  • Communicating insights
Tools you'll learn
  • Data visualization platforms
  • Dashboard and reporting tools
  • Spreadsheet analysis tools
  • Statistical analysis software
  • Business intelligence concepts
  • Data preparation workflows

This 150 hour microcredential is aimed at students interested in learning more about the field of data analytics. It consists of three foundational courses to help familiarize students with the concepts of data cleaning, storytelling with data, statistical inference, and data dashboarding. Online and asynchronous options may be available for mature students and industry professionals.

Tuition and fees

Admission and program requirements

Regular Applicants:

  • B.C. secondary school graduation (or equivalent).
  • English 12 or alternatives.
  • Math requirement:
    • A minimum of 60% in any of:
      • Pre-calculus Grade 11
      • Foundations of Mathematics Grade 11
      • Adult Basic Education MATH 011
      • Adult Basic Education MATH 080
      • Adult Basic Education MATH 085
      • Adult Basic Education IALG 011
    • Or a minimum score of 16/25 on the Basic Algebra Proficiency Test
    • Or completion of one MATH/ STAT/ DSCI course at the 1XX level or higher.

Mature Students:

    • Mature applicants are at least 19 years of age and have been out of full-time secondary study for at least one year.
    • Secondary school graduation will be waived for mature applicants.
    • Mature applicants must meet the English and Mathematics requirements.

All 3 courses will be completed at OC; however, a student may request to waive the statistics requirement if they have already completed an articulated BC transfer credit or have completed this credit internally as part of another program.

Start date
Location
Delivery mode
Application status
Sep. 2026
Kelowna
On-campus
Open
Jan. 2027
Kelowna
On-campus
Open

Program details

Complete All of the following:
DSCI 300 - Data Wrangling and Visualization
DSCI 315 - Dashboards and Analytic Reporting
Complete at least 1 of the following:
STAT 121 - Elementary Statistics
STAT 124 - Business Statistics
STAT 205 - Introduction to Mathematical Statistics
STAT 230 - Elementary Applied Statistics
BIOL 202 - Elementary Applied Statistics

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