Take a look at any online job board and you'll see there's a very high demand for people who understand how to collect, manage, interpret and explain big data. And that's exactly what you'll be doing once you've earned your diploma in this program.
Basic knowledge of Excel, SQL, Python and/or R and statistics and probability is highly recommended. If you do not have knowledge of Python, we strongly recommend that you take Introduction to Python and Data Analysis (CEBD 1100). 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 knowledge will require more time to gain familiarity with the concepts.
This isn't stuff you can just pick up as you go. You need to understand the technology and the business of Big Data. You need hands-on experience working on state-of-the-art equipment. You need personalized instruction from industry pros. And where will you get it? Right here, in six highly specialized courses that will lead you to a big future in Big Data.
This diploma is a great way to help you:
Launch a career in Big Data and find a stimulating professional environment;
Understand the core infrastructure concepts to deploy Big Data applications at scale;
Discover and understand business cases from Big Data projects in diverse industries;
Acquire practical expertise with Big Data concepts using state-of-the-art cloud systems;
Deploy analytics solutions on cloud systems.
This program employs project-based learning that's focused on the acquisition of practical, real-world skills and not just theory. You'll be taught in our computer labs by an industry pro using state-of-the-art technologies, software and equipment.
Who benefits most?
Employees or students who want to become Data Scientists.
Professionals who want to leverage data for better decision-making.
Individuals who want to improve the performance of their organization by better harnessing Big Data.
Entrepreneurs with projects that could benefit from data analytics.
Students in fields like geography, biology, psychology, humanities or any other field with big data.
IT professionals who want to transition to Big Data from more traditional sectors.
Employees in the business-intelligence field who want to upgrade their skills or broaden their horizons.
Students must complete the 6 courses listed below: