Terabytes are so yesterday. Today, we're talking petabytes and exabytes. That is Big Data. Very Big Data. And it's filled with information that's valuable to companies everywhere. The problem is, there aren't enough people out there who know how to mine that data.
Basic knowledge of 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.
That's where you come in. You're excited by technology and want to make an important contribution to business. Or perhaps you're a budding entrepreneur who wants to conduct data analytics to help ensure the success of your venture. Then again, maybe you're a student buried under tons of data, trying to dig your way out. Whatever the case, if you're interested in this vital, highly dynamic field, this three-course certificate program is tailor-made for you.
This program is a great way to help you:
Understand the core infrastructure concepts to deploy Big Data applications at scale;
Acquire practical expertise with those 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?
Individuals who want to improve the performance of their organization by better harnessing Big Data.
Professionals who want to leverage data for better decision-making.
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.
Students must complete the 3 courses listed below: