Nate Silver: Founder of FiveThirtyEight, Silver uses statistical analysis to make predictions in everything from politics to sports. His approach to data-driven journalism has reshaped how data analytics is perceived by the general public.
Avinash Kaushik: The Digital Marketing Evangelist for Google, Kaushik is a recognized authority in web analytics and digital strategies. His books and blog, “Occam’s Razor,” provide deep insights into actionable analytics.
Hans Rosling: Though he passed away in 2017, Rosling’s legacy continues through his groundbreaking work in visualizing complex datasets. His venture, Gapminder, revolutionized storytelling with analytics, making global health and economics data comprehensible to the masses.
Hadley Wickham: Chief Scientist at RStudio, Wickham’s contributions to the R community, including packages like ggplot2 and dplyr, have been instrumental in advancing data visualization and analysis.
Tamara Dull: As the Director of Emerging Technologies for SAS, Dull breaks down the complexities of big data, the Internet of Things, and open source. Her insights bridge the technical and the practical, making data analytics accessible.
Monica Rogati: Having engineered pivotal data products at LinkedIn and Jawbone, Rogati’s expertise lies in turning data into actionable, user-facing products. Her perspective on data-driven product development is invaluable.
Ben Wellington: A data scientist and policy analyst, Wellington’s blog “I Quant NY” uses New York City’s public data to tell compelling stories. His approach showcases the power of analytics in influencing public policy and urban planning.
Cassie Kozyrkov: As Google Cloud’s Chief Decision Scientist, Kozyrkov specializes in bringing statistical rigor to decision-making processes. Her articles and talks demystify complex topics, making data science and analytics more approachable.
Andrew Gelman: A professor at Columbia University, Gelman’s work in statistical modeling and research on the limitations of traditional statistics in the face of complex datasets is groundbreaking.
D.J. Patil: Having served as the first Chief Data Scientist of the U.S., Patil’s experience spans public policy and private sector innovation. His emphasis on “data-driven” decision-making has become a mantra for many in the analytics sphere.
