Data Science for Professionals

Data science is for everyone

What is it?

Data Science for Professionals is simply the best way to gain a in-depth and practical skill set in data science. Through a combination of theory and hands-on practice, course participants will gain a solid grasp of how to manage, manipulate, and visualize data in R - the world's most popular data science language.

NEW: We are proud to have partnered with IBM's Cognitive Class. This course will be offered as premium content for organizations who subscribe to an IBM private portal. Our Leaflet mini-course will also be offered on the cognitive class platform.

Who should take this course?

This course is for professionals who are tired of using spreadsheets for analysis and have a serious interest in learning how to use code to improve the quality and efficiency of their work. At the end of this course, participants will have a developed a solid foundation of the fundamentals of the R language. Participants will have also gained a perspective on the modern data science landscape and how they can use R not only to better analyze data, but also to better manage projects, create interactive presentations, and collaborate with other teams. Whether it's spreadsheets, text documents, or slides, anyone who analyzes, reports, or presents data will benefit from a knowledge of data science programming.

Who should NOT take this course?

While this course covers examples of machine learning in later lectures, this is not a machine learning or a statistics-focused course. The course does go through examples of how to use code to deploy and assess different types of models, including machine learning algorithms, but it does so from a coding perspective and not a statistics perspective. The reason is that the math behind most machine learning algorithms merits a course entirely on its own. There are many courses out there that make dubious claims of easy mastery of machine learning and deep learning algorithms - this is not one of those courses.

A Different kind of data science course

This course is different from most other courses in several ways:

  • We use very large, real-world examples to guide our learning process. This allows us to tie-together the various aspects of data science in a more intuitive, easy-to-retain manner.
  • We encounter and deal-with various challenges and bugs that arise from imperfect data. Most courses use ideal datasets in their examples, but these are not common in the real-world, and solving data-related issues is usually the most difficult and time-consuming part of data science.
  • We are focused on your long-term success. Our downloadable course code is filled with notes and guidance aimed at making the transition from learning-to-applying as smooth as possible.

What do I get?

A lot! Participants receive a wealth of resources to mark their accomplishments and help transition to using R in a way that is practical to their work.

  • Participants who complete the course will receive a serialized and verifiable certificate of completion.
  • An extensive example code package with nearly 2000 lines of code. This code package is structured like a text book and contains detailed explanatory comments. This will serve not only as a valuable reference, but you'll be able to use the code in your own projects!
  • A quick reference guide with essential R functions.
  • Have questions? You will! Each lecture has a threaded comments section for questions and discussion.
  • A 30-day money-back guarantee (No questions asked!).

Frequently Asked Questions

When does the course start and finish?
The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.
What if I am unhappy with the course?
We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.

Your Instructor

Greg Sward
Greg Sward

Greg has been coding in R for over 12 years (way before the language was cool). He is the co-founder and Chief Data Scientist at Occam Industries, a fin-tech startup aimed at using data science to develop next-generation financial and economic models. In his spare time, Greg creates and runs courses on R programming. His courses have been featured on IBM's Cognitive Class, and at colleges and universities.

Greg has an Honours Bachelor of Science from the University of Ottawa, a Master of Financial Economics from the University of Toronto, and is a CFA charterholder.

Class Curriculum

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