AI has the potential to unlock growth for Canada’s small-to-medium sized enterprises. Whether your organization is just getting started with AI or an AI-expert, Vector’s FastLane program will help companies accelerate AI-fueled growth.

Please note that due to limited space, enrollment is not guaranteed, but we do encourage all interested registrants to apply.

Monday, November 21, 2022
Excel to AI: Day one1:00 PM - 3:00 PM 
Wednesday, November 23, 2022
Excel to AI: Day two1:00 PM - 3:00 PM 
Friday, November 25, 2022
Excel to AI: Day three1:00 PM - 3:00 PM 
Time Zone: (UTC-04:00) Eastern Time (US & Canada) [Change Time Zone]

Excel to AI

Vector is hosting a 3-Day course, 2 hours each day, for FastLane companies to explore how Python is a stepping stone to implementing AI. FastLane companies proficient in Microsoft Excel have experience working with structured data performing typical functions in a work context. This course will expand the possibilities to include tasks with unstructured data, larger datasets, and more efficient computing. 

What should you expect:

  • Learn the basics of the Python language syntax 
  • Understand when to use Python, particularly for tasks such as data loading and pre-processing, exploratory analysis, visualization, and exposure to machine learning
  • No computer programming experience required

Who should attend:

  • Participants should have a good baseline understanding of Excel for reporting and analysis e.g., VLookups, Goal Seek, Conditional Formatting, Formulae, Data Analysis, etc.
  • Technical or non-technical roles interested in how Python can help with automation
  • Learners new to Machine Learning are welcome

This is an introductory course, if you are already working in Python please contact courses@vectorinstitute.ai to find a course better suited for your level.

Learning outcomes:

  • Become familiar with Python programming by running a series of scripts and exploring the library ecosystem
  • Compare Excel and Python when performing some of the most common tasks required for practical business applications (e.g. data loading and pre-processing, exploratory analysis, visualization, etc.)
  • Identify the cases in which Python could add greater value than Excel (e.g. handling large datasets, reproducing data pipelines, running ML algorithms, dealing with various data sources and types)

By the end of this course participants will learn how Python might help them to advance their career and/or company in the use of data analysis, data visualization or to simply support current activities that they regularly use Excel for (i.e. reporting, analysis, forecasting etc.).

Participants who successfully complete all three days and submit the final assignment will be eligible for a certificate.

 

This event is restricted to FastLane companies. Any registration that is found not to be from one of the aforementioned groups will be asked to provide verification and, if unable to do so, will not be able to attend.