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Over the past 30 years, Python has been growing in popularity and relevance within our workforce, particularly with the increasing demand for data-driven decision-making. This popular high-level programming language is simple and versatile, making it a great language for beginners and experts from any field or industry. For those interested in advancing their career in the field of data science, Python's powerful libraries and frameworks like Pandas, NumPy, and SciPy, make data manipulation and analysis easier and more efficient.
Join this free workshop on May 11 from 12 - 1 p.m. ET, hosted in partnership with the University of Toronto School of Continuing Studies, and discover the essential functions of Python for data science.
What you'll learn:
- Understand the basics of Python, including how it can be leveraged for data science tools and techniques.
- Explore the differences between Python and R.
- Review a case study about how Python can be used in data science.
- Receive a free demonstration on the basics of Python.
You'll also hear about WatSPEED's Data Science certificate and better understand how the program uses Python as part of your learning experience.
Meet your workshop hosts
Larry Simon, Data Science Certificate Lead
Larry Simon is an entrepreneur, management consultant, and angel investor, specializing in IT strategy and data analytics. He is the founder and a Managing Director of Inflection group and has over 30 years of experience advising startups, global corporations, and government institutions.
Larry was previously a Partner with Ernst & Young Consulting, their CTO and National Director of their strategy and delivery centres. Larry is the lead for the Data Science certificate program, which is offered in partnership with the University of Toronto School of Continuing Studies.
Delina Ivanova, Director of Analytics, Mistplay
With over 12 years of experience in data and analytics, Delina Ivanova has expertise as both an individual contributor and leader across multiple industries, including tech, CPG, banking and consulting. Her domains of experience span marketing, product management, supply chain, and operations. Currently, Delina is the Director of Analytics at Mistplay, having previously served as Associate Director of Data & Analytics at HelloFresh.
Delina is also passionate about sharing her knowledge, and currently teaches data science and machine learning at WatSPEED at the University of Waterloo, Schulich School of Business, and the University of Toronto School of Continuing Studies.
