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Empowering Black Excellence in Data Science and Analytics

Build in-demand skills in analytics, visualization, and AI through hands-on training, real-world projects, and industry tools—designed to prepare you for impactful, data-driven careers.

Registration Deadline: Friday April 17, 2026
Program Starts: April 20, 2026

Program Overview

The Empowering Black Excellence in Data Science and Analytics (EBEDSA) program, offered under the Getting Data Science Done Across Borders initiative, is an intensive bootcamp designed to equip Black students with in-demand skills in data science, analytics, and data visualization. Led by Dr. Andy Asare, Assistant Professor of Data Science and Analytics in the Department of Computer Science, the program provides a dynamic and supportive learning environment for students to build practical, career-relevant skills.

Delivered through online learning and interactive presentations, the program offers hands-on, experiential training using industry-leading tools such as Power BI, Tableau, and Generative AI. Participants will gain practical experience in collecting, cleaning, analyzing, and visualizing data to support informed decision-making across multidisciplinary contexts.

Throughout the program, students will work with real-world datasets, develop interactive dashboards, and apply data storytelling techniques to communicate insights effectively. The program culminates in a virtual presentation where participants will showcase their projects, share their insights, and engage with peers, faculty, and industry professionals.

Program Objectives

Participants in this program will:

  • Describe key concepts in data science and analytics, including applications and the role of data-driven decision-making across industries. 
  • Collect, clean, and transform data into structured formats suitable for analysis using appropriate data wrangling techniques. 
  • Apply exploratory data analysis (EDA) techniques to identify patterns, trends, and relationships within datasets. 
  • Use AI-supported tools and visualization platforms to analyze text data, identify sentiment patterns, and communicate results. 
  • Develop interactive dashboards that enable users to explore data and derive actionable insights. 
  • Communicate analytical findings effectively through structured narratives, visualizations, and professional presentations.

Program Structure

The program is delivered in three phases: 
Online Workshop: April 20th to April 30th (10 Days): Three Hours Per Session
Participants will build foundational knowledge in data science and visualization through interactive online sessions.

Topics include:

  • Introduction to Data Science and Analytics
  • Data Cleaning and Preparation
  • Visualization Principles and Exploratory Data Analysis (EDA)
  • Performing Sentiment Analysis with Generative AI, Power BI, and Tableau
  • Designing Interactive Dashboards Using Power BI 
  • Presenting Data Insights Through Storytelling
Analytics data dashboard

Virtual Team Presentation

Saturday May 2, 2026, at 10 AM

The program concludes with an online presentation, where participants present their projects to peers, faculty, and guests.

Conference features:

  • Keynote address from an industry leader
  • Panel discussion on careers in data science and analytics
  • Student project presentations and live dashboard demonstrations

Group Project

Participants will work in teams to develop a data visualization project addressing real-world challenges.

Example topics:

  • Education and student success analytics
  • Employment and workforce trends
  • Social media and sentiment analysis
  • Health and community well-being
  • Housing and economic development

black professionals looking at analytics dashboard

Who Should Apply

This program is open to Black undergraduate and graduate students at the University of Calgary with an interest in:

  • Data Science
  • Business Analytics
  • Computer Science
  • Social Sciences
  • Engineering
  • Or any field involving data-driven decision-making

No prior experience in Power BI or Tableau is required.

Tools & Technologies

Participants will gain hands-on experience with:

  • Power BI
  • Tableau
  • Microsoft Excel
  • Generative AI
  • Data visualization and dashboard design tools

Certification & Awards

Participants who successfully complete the program will receive a Certificate of Completion from the University of Calgary

Contact

Dr. Andy Asare

Assistant Professor (Teaching) Data Science and Analytics
Faculty of Science, Department of Computer Science
University of Calgary, Calgary, Alberta

Email: andy.asare@ucalgary.ca