Presented by
Christopher Peter Makris, Lead Data Scientist at Dataiku
Using Statistics to Become a Better Data Scientist
About this talk
As demand for the data scientist role remains high in 2021, the onus is on data scientists to find ways to differentiate themselves amidst a sea of competition and continuously expand their toolbelt. Many of today’s data scientists don’t have a formal statistics background, so learning statistics and probability concepts can be a value-add for them as they aim to increase their understanding of machine learning concepts, improve their models, and bring a new perspective to their projects. This talk, led by Christopher Peter Makris, lead data scientist at Dataiku, will cover key statistics concepts for data scientists to know and how they can be applied to everyday data science tasks.
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