Skip to main content

course

Big Data Visualization and Storytelling

Check Upcoming Dates
Course Code
CEBD 1251
Duration
30 hours
Awesome. You learned how to collect and store Big Data. Now comes the fun part: mining that data for gold and then spinning that gold into compelling business stories that captivate and convince. In this course, you'll use sophisticated data-visualization tools to understand data and share information with others. You'll also learn how to manage a Big Data science project from beginning to end, and that's exactly what they'll want you to be doing in your next job. Props to you!

Knowledge of Excel and/or SQL is highly recommended. If you do not have knowledge in these areas, we strongly recommend that you take Intro to Data Analysis with Excel (CEBD 1300) and Intro to SQL (CEWP 215).

Note that you will be required to do 5-10 hours of work per week outside of class time. Those with little to no prior

Upcoming date(s)

Term
Section
mode
Fees

January 14 – March 18, 2025
Tu 18:00 – 21:00
Winter
1
Online
$950.00
Term
Winter
Section
1
mode
Online
Fees
$950.00

Your takeaways

This course is a great way to help you:
• Learn how to transform data into insights;
• Translate business needs into data analysis and visualize it with best-in-class graphics;
• Assemble graphics, maps and numbers into stunning stories;
• Learn how to manage a Big Data project.

Our approach

In this course, you'll gain real-world knowledge, experience and insights through lectures from experienced pros who'll show you the ropes. More excitingly, you'll learn through hands-on projects using the very latest software like data transformation tools, NoSQL and Hadoop, Data Visualization and Data Storytelling tools. You can't get skills like this on YouTube. This course is designed for the students to meet regularly during live synchronous learning in an online virtual classroom (Zoom).

Who benefits the most?

• Students who completed CEBD 1250 and want to continue their studies.
• Anyone who wants to learn the fundamentals of Big Data.
• Students who want to work in Big Data / Data Science for a large- or medium-sized company.
• Students who want to create their own startup in Data Science / Big Data.
• Employees in the business-intelligence field who want to upgrade their skills or broaden their horizons.
• Employees or students who want to become Data Scientists.
Back to top

© Concordia University