Data science is not only about machine learning. To be a successful data person, you also need a significant understanding of statistics. Gabriela de Queiroz walks you through the top five statistical concepts you need to know to work with data.
Gabriela de Queiroz is a data scientist at Sharethrough, where she develops statistical models from concept creation to production, designs, runs, and analyzes experiments, and employs a variety of techniques to derive insights and drive data-centric decisions. Gabriela is the founder of R-Ladies, an organization created to promote diversity in the R community, which now has over 25 chapters worldwide. Currently, she is developing an online course on machine learning in partnership with DataCamp.
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