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August 23, 2019
8:00 am - 3:30 pm
Duration: Full Day Course
Natasha Balac, Ph.D.
This full-day practical Data Science training is designed for participants seeking real-world, hands-on data science skills ranging from data cleaning and prep to building and evaluating predictive models. During this session, participants will perform numerous data science exercises reaching across the entire data science project lifecycle. Participants will use a variety of data preparation and modelling techniques to discover patterns and relationships in data through a modular data pipeline concept.
This practical session emphasizes key predictive modelling techniques, such as classification, regression, and clustering. No preexisting programming knowledge or experience required.
Analytics and BI practitioners; data scientists; IT professionals; business analysts; analytics project leaders, technical managers, scientist, and engineers.
Instructions will be emailed to registrants prior to the event to prepare your laptop BEFORE the conference. There is no time allotted in class for laptop preparation
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