Diploma in Data Science Programming

PROGRAM

Terabytes are so yesterday. Today, we're talking petabytes and exabytes. That is Big Data and it's invaluable to companies everywhere. The problem is, there aren't enough people who know how to mine that data. That’s where you come in!

Whether you're into technology, a budding entrepreneur or a student buried in data, this five-course program is tailor-made for you.

To succeed in this highly dynamic field, 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. Note that this is an online, synchronous program.

To register, go to Program courses, and select individually the course(s) you wish to enroll in.

Your takeaways

This diploma 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.

Program courses

To obtain this diploma, students must complete the following four courses and one (1) out of the two (2) elective courses listed below. For course descriptions, schedules and registration, click on the links of each course.

Intro to Python (CEBD 1100)
Programming for Data Analytics (CEBD 1160)
Machine Learning (CEBD 1260)
Big Data Infrastructure (CEBD 1261)

Students must also choose one of the following electives:

Intro to SQL (CEWP 215)
Intro to R (CEBD 1200)

Our approach

In this program, you'll gain real-world knowledge, experience, and insights through lectures from experienced pros who'll show you the ropes. Learn through hands-on projects that will focus on the acquisition of practical, real-world skills and not just theory. You'll be taught by industry pros using the latest technologies and software. You can't get skills like this on YouTube.

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.

Concordia Continuing Education