Top Data Science Conferences for 2025

In this article, we'll outline awesome data science conferences to attend in 2025.

Updated May 8, 2025 · 10 min read

Data science conferences provide a great venue to learn from industry leaders who successfully implement data solutions in their daily work. These conferences can cover a broad range of data topics, including how to grow your career in the industry, best practices and tips for implementing data and analytics products, industry use cases on how to build a data culture and more. Most conferences also offer networking opportunities with industry leaders, recruiters, and other data practitioners in similar positions to you.

This article focuses on some of the biggest and most useful conferences to attend in 2025. They include a mix of locations and virtual availability as well as a broad range of data topics that are useful for all data people, regardless of skill level, experience, and position in their organization. Some of these conferences focus more on hands-on workshops, while others focus more on growing scalable business solutions and strategic decisions to consider while building a data-focused organization.

1. Radar AI Edition

Date: 26th June, 2025
Location: Online
Cost: Free of charge

Our RADAR: AI Edition, which will take place on June 26, is a can’t-miss event for professionals in every industry who are ready to harness the power of AI. Sign up and explore how top organizations are building the skills that turn AI into a competitive advantage. You'll hear from leading experts on how to scale AI learning, integrate new tools into existing workflows, and build an AI-ready culture from the ground up.

Teams that master AI today will lead the future. Make sure your team is ahead of the curve.

The recordings from previous years are also still available, in case you missed them: Radar Skills Edition, Radar Forward Edition, Radar: The Analytics Edition, and Radar: The AI Edition.

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2. Gartner Data & Analytics Summit

Dates: March 3-5, 2025
Location: Orlando, FL, US
Cost: $4,525

The Gartner Data & Analytics Summit is intended for data leaders. The conference is set up with many different tracks to meet each attendee's individual goals for the conference. These tracks cover various topics, including Leadership, Data Management, Analytics, Business Strategy, Machine Learning, and Governance and Privacy. This is a unique approach to scheduling a conference and allows a personalized experience with the content.

3. Big Data & AI World

Dates: March 12-13, 2025
Location: Excel London
Cost: Free of charge

The Big Data & AI World conference, part of Tech Show London, is scheduled for 12-13 March 2025 at ExceL London. It's an event for exploring the latest advancements in big data and artificial intelligence, offering attendees the chance to delve into the potential of their data, network with industry pioneers, witness innovative solutions, and stay ahead of trends and developments. A single free ticket provides access to a suite of related events, including Cloud Expo Europe and Cloud & Cyber Security Expo, making it a gathering for business leaders and technologists aiming to shape their digital future.

4. MLConf

Dates: March 27, 2025
Location: New York City, NY, US
Cost: $263.69, content free after (here)

MLConf is a single-day conference intended for a broad range of professionals who are interested in current applications of machine learning and best practices. Speakers from organizations like Meta, HuggingFace, and Ericsson discuss ML algorithms, platforms, tools, and lessons they have learned from working in the industry. Past discussions are also available online from leaders at places like Airbnb, Lyft, and Google.

5. Healthcare NLP Summit

Dates: April 1-2, 2025
Location: Online
Cost: Free of charge

Healthcare NLP Summit is a large applied Natural Language Processing conference. The event is two days and free of charge. It includes over 30 sessions focused on the application of NLP in healthcare and life sciences. The event also includes live Q&A sessions, networking opportunities, and on-demand access to content after the event. This event features professors from top universities as well as researchers from organizations like Google, John Snow Labs, and Merck.

6. Data Science Next Conference Europe

Dates: 7-9 May 2025
Location: Amsterdam, Netherlands
Cost: $750 (In-person in Amsterdam)

The Data Science Conference Europe is an international AI & data conference aimed at both data science professionals and AI enthusiasts. It covers a range of topics and technologies, live in Belgrade, with topics including NLP, Computer Vision, Open Data, and more.

We hope you enjoyed this list of conferences. Make sure to tune in to DataCamp Radar and check out our upcoming events.

7. ODSC

Dates: May 13-15, 2025
Location: Boston Convention and Exhibition Center, Boston, MA, US, and available virtually.
Cost: $559 - $1670

Open Data Science Conference is a collection of conferences hosted across the US and Europe. The currently featured ODSC East will be held in early May and offers a hybrid attendance format. The event includes training, networking opportunities, as well as expos and demos. Many tracks range from Machine Learning, NLP, MLOps, and Data Visualization. There is a track for most people in data to get personalized value out of the event. There will be over 250 speakers, 300 hours of content, 1700 companies, and thousands of attendees.

8. World Data Summit

Dates: May 21-23, 2025
Location: Amsterdam, The Netherlands
Cost: € 1,695.00

The World Data Summit is a three-day event that focuses on topics in data governance, data literacy and leadership, privacy and ethics, applications of machine learning, and open-source data technologies. Attendees range from every seniority level, from analysts to directors and vice presidents. Featured speakers are from strong data-focused organizations like AT&T, Wayfair, Google, and Nike.

9. The Data Science Conference

Dates: May 29-30, 2025
Location: Chicago, IL, US
Cost: $1,500

The Data Science Conference is a sponsor-free, vendor-free, and recruiter-free data science conference. The goal is to provide an opportunity for attendees to learn without needing to worry about being sold or prospected. This allows for more genuine networking opportunities and more informative, sales-free panels and discussions. For networking, you can leverage a virtual business card, which helps you share your contact information and your data science work in a hassle-free way. Speakers cover a wide range of topics, including Speech Models, Computer Vision, Privacy and governance, and other data topics and case studies.

10. Data + AI Summit

Dates: June 9-12, 2025
Location: Hybrid - San Francisco, CA, US (In-person) and available virtually
Cost: Free of charge (virtually) $1595 (In-person) or free of charge (virtually)

The Data + AI Summit is a four-day event hosted by Databricks. This conference includes panel discussions, networking opportunities, and hands-on training workshops. Past conference panels and training sessions are available on YouTube here. Past speakers include professors and leaders from organizations like Girls Who Code, Google, and Databricks. Discussions cover topics such as MLOps, Time Series Forecasting, Data Engineering, Machine Learning, AI, and many more.

11. World Conference on Data Science & Statistics

Dates: June 16-18, 2025
Location: Amsterdam, Netherlands
Cost: $499-$899 depending on timing and job or student status

Data Science Week, also called World Conference on Data Science & Statistics, is a 3-day event in the Netherlands that emphasizes academic research and industry-focused discussions around machine learning, math, and statistics topics. The theme for this year’s event is on Data Science in the age of ChatGPT and AI.

12. Coalesce

Dates: Fall, 2025 (Exact Date TBD)
Location: Hybrid - Las Vegas, NV, US (In-person) and available virtually
Cost: Free (virtually) or $700 (In-person in Las Vegas)

Coalesce is a five-day conference available in-person and free of charge virtually. The main conference will be hosted in Las Vegas. Last year’s sessions are all available here. This event covers various topics, including machine learning and AI, testing, data anomaly detection, data engineering, and many more. This conference also provides great networking opportunities for those who attend in person.

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What are the benefits of attending a data conference in person versus virtually?

Attending a data conference in person offers several benefits, including the opportunity to network face-to-face with industry leaders, peers, and potential employers. In-person attendees often have access to exclusive workshops, hands-on sessions, and more interactive experiences that can enhance learning. Additionally, the immersive environment can foster deeper engagement with the content and speakers. On the other hand, virtual attendance provides flexibility, cost savings, and the ability to access recorded sessions at your own pace, making it a convenient option for those who cannot travel.

How can I choose the right data conference to attend?

Choosing the right data conference depends on your professional goals, interests, and budget. Start by identifying the topics that are most relevant to your work or areas where you want to expand your knowledge. Look at the agenda, speaker lineup, and workshop offerings to ensure the content aligns with your needs. Also, consider the location, cost, and networking opportunities. If possible, seek recommendations from colleagues or peers who have attended similar conferences. Lastly, check if the conference offers recordings or other resources that can be accessed later, which can add value to your experience.

What should I do to prepare for attending a data conference?

To prepare for attending a data conference, start by reviewing the agenda and selecting the sessions, workshops, and keynotes you want to attend. It’s helpful to research the speakers and topics in advance to better understand the content and engage more effectively. If networking is a priority, prepare your elevator pitch and business cards, and identify key individuals or companies you’d like to connect with. Additionally, plan your schedule to include time for breaks and informal networking opportunities. For virtual conferences, ensure you have a stable internet connection and a quiet environment for attending sessions.

What are some common themes or topics covered in data conferences?

Data conferences typically cover a wide range of themes and topics, including machine learning, artificial intelligence, big data analytics, data governance, and data ethics. Other common areas of focus include data visualization, data engineering, natural language processing (NLP), and emerging trends like MLOps and data democratization. Conferences may also explore industry-specific applications of data science, such as healthcare, finance, and retail. In addition, there is often a focus on the practical application of data technologies, case studies, and the future of data science.

How can attending a data conference advance my career?

Attending a data conference can significantly advance your career by providing opportunities to learn from industry experts, stay updated on the latest trends and technologies, and gain new skills through workshops and training sessions. Networking at conferences can lead to job opportunities, collaborations, and mentorship connections. Additionally, presenting your work or participating in discussions can enhance your professional visibility and credibility. Conferences also offer a platform to discover new tools and solutions that can be applied to your work, making you more effective and innovative in your role.