As one of the largest conferences of its kind, DataConnect Conference brings together a global community of industry leaders, technical experts, entrepreneurs, and academia while providing a platform for women to lead the conversations around the latests advancements and methodologies in data, analytics, and AI.
Formerly known as Women in Analytics Conference, we've rebranded our annual event as DataConnect Conference to better reflect our mission to help attendees learn about all topics that touch on data – data science, analytics, data management and AI – while connecting with others in the global data community. Our new name represents our belief that the top-quality data and analytics content we provide can benefit everyone in the field.
While our speaker line-up is reserved exclusively for women, all other aspects of the conference are open to everyone.
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DataConnect has an international presence and brings together a wide range of industries, roles, backgrounds, and skills levels. Past attendees include analysts, data scientists, machine learning engineers, researchers, software developers/ engineers, students, entrepreneurs, and executives.
Individuals of all genders and technical skills levels are welcome!
Dive into two full days of top notch content delivered by women at the forefront of analytics, data science, machine learning and artificial intelligence.
With multiple tracks, we will cover a broad range of relevant topics to ensure that every attendee can create the optimal agenda tailored to their interests and experience level.
Take advantage of the opportunity to connect with industry thought leaders, data-driven professionals and academia face-to-face.
The mission of Women in Analytics is to provide visibility to the women making an impact in the analytics space and provide a platform for them to lead the conversations around the advancements of analytical research, development, and application.
WIA was founded in 2016 with the goal of supporting women in the analytics space and has grown into a global community focused on bringing visibility to women in the field while delivering top-notch analytics content.
The inaugural conference was hosted in Columbus, OH and hosted an audience of less than 150 individuals. Topics ranged from the skills necessary to successfully contribute and lead to the necessity of technical experience, the power of multiple perspectives, and the significance of research and discovery to conversations around understanding where women currently thrive, where they are underrepresented and how we can support an increase in diversity while generating awareness and support.
Over the years, our conference has been rated:
In addition to sharing our mission with a larger audience, we have successfully provided over seventy women with opportunities to share their analytics knowledge, sponsored sixty students and fly-ins to attend one of our conferences free of charge, and donated our conference proceeds to a number of incredible organizations.
Interested in volunteering for the 2025 DataConnect Conference?
Apply HereBy 2030, Women in Data is on a mission to reach 10 million lives and achieve 30% female representation in data careers. Our mission is to increase diversity in data careers and create a world where all can use and benefit from data and AI. Our values are: Community Opportunity Diversity Education (CODE).
Women in Data was created in 2015, when our founder noticed the lack of women representation as she began her journey into data. Concerned about the prospect of gender equality in a data-driven future, the first chapter of Women in Data was launched.
We have since shaped Women in Data to the global community we are today. A place for data enthusiasts of all backgrounds to connect, grow, and lead together.
Over the years, our organization has :
Women in Data is a vibrant and diverse community of data leaders, practitioners, learners, and data citizens. With over 70,000 members in 60+ countries and chapters in 60 cities, we are a global network empowering women to excel in data careers.
Interested in getting involved with Women in Data?
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