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Next Cohort: Jun 5-Aug 21
Jun 5-Aug 21
This course will equip you with the basic machine learning and artificial intelligence (AI) tools for mining and analyzing datasets, and extracting insights for decision making. You will learn how to identify correlations and patterns in datasets, build predictive models using machine learning and AI software and evaluate the performance of those models.
What You’ll Learn
- Find correlations between variables in a dataset.
- Identify clusters in data such as market segments.
- Predict future outcomes based on hidden relationships in historical data.
- Use tools to classify events or observations by type.
- Evaluate and combine models for best performance
- 3250 Foundations of Data Science and 3251 Statistics for Data Science OR
- Previous knowledge and experience in Python programming and statistical techniques OR
- A passing grade on a self-assessment test/quiz for equivalent skills
Ready to get started?
Next Cohort: Jun 5-Aug 21
Student Reviews (5)
This course isn't enough to get you a job in digital marketing, but it was a really thorough introduction to the digital marketing field. It offered a strong mix of theory and practice and the instructor was truly excellent. Great place to build a port...
This course isn't enough to get you a job in digital marketing, but it was a really thorough introduction to the digital marketing field. It offered a strong mix of theory and practice and the instructor was truly excellent. Great place to build a portfolio and learn the basics.
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Can I apply the courses I take at the School of Continuing Studies for credit towards a degree program at the University of Toronto?
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