Technical Training
Technical training is available to RC students through in-person workshops, virtual workshops and online self-paced learning modules. All offerings have been thoughtfully curated with our student audience in mind. Most offerings listed below are free; however, some may have associated costs.
Build practical skills through hands-on, instructor-led workshops designed to support your coursework, recruiting, internships and future career. Workshop offerings may vary by term and include:
- Python Skills Series – Beginner, Intermediate and Advanced
- Financial Research & Databases – Capital IQ Pro, FactSet and Bloomberg
- Real Estate Development Workshop
Looking for upcoming workshops? Visit RCPortal > Events and use the keyword “workshops” to search for current offerings and availability. Space may be limited, so students are encouraged to register early.
Learn new skills with instructor-led workshops by registering for live virtual sessions. Offered by the Management Data and Analytics Lab
The online resources listed below allow users the flexibility to learn at their own pace and on their own time. Excel training modules/tutorials are in categories for beginner, intermediate and advanced users. Python Offered by the Management Data and Analytics Lab
- Python analytics Software List You will learn to use various analytics tools and programming languages during your study at Rotman. A list of programming languages together with download links and getting-started resources are available.
- Python online resources The introductory Python workshop is designed for beginners with some or no prior knowledge of coding. The workshop materials provide a good overview of the advantages of coding in Python and its increasing popularity in data science for tasks including data manipulation, machine learning, web scraping and text mining, as well as more generally in web design and software development. Explore the fundamentals of Python programming and look at a real example of performing an end-to-end data analysis task using Python’s pandas and numpy libraries. Dig a bit further into Python data structures such as lists, dictionaries and conditionals.
Data visualization Offered by the University of Toronto Map & Data Library
- Introduction to Data Visualization – Part 1: Theory and Critique Time commitment: 1 hour, 15 minutes. There is an additional ~1 hour, 30 minutes of activities
- Introduction to Data Visualization – Part 2: Practice with Tableau Time commitment: 2 hours. There is an additional ~1 hour of activities
Advanced Valuation
- Valuation Class (advanced) on Damodaran and YouTube Known as the “the Dean of Valuation,” Prof. Aswath provides his expertise on many valuation approaches and theoretical and empirical support to these approaches. He is also an author of many publications and books about corporate finance and valuation. Instructor: Prof. Aswath Damodaran from NYU Stern Price/Access: free (online lecture videos and lecture notes) Valuation Class on Damodaran Online Damodaran Valuation Class Lectures on Youtube
