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