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Introduzione alla Data Science in Python
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Le conferenze di data science sono un’ottima occasione per imparare dai leader del settore che implementano con successo soluzioni data-driven nel lavoro quotidiano. Possono coprire un’ampia gamma di temi, tra cui come far crescere la tua carriera nel settore, le best practice e i consigli per implementare prodotti di dati e analytics, casi d’uso su come costruire una cultura dei dati e molto altro. La maggior parte delle conferenze offre anche opportunità di networking con leader del settore, recruiter e altri professionisti dei dati in ruoli simili al tuo.
Questo articolo si concentra su alcune delle conferenze più grandi e utili da seguire nel 2026. Includono un mix di location e opzioni virtuali, oltre a un’ampia varietà di argomenti utili a chi lavora con i dati, indipendentemente dal livello di competenza, dall’esperienza e dal ruolo in azienda. Alcune puntano di più su workshop pratici, altre su soluzioni aziendali scalabili e sulle decisioni strategiche da considerare quando si costruisce un’organizzazione data-driven.
1. Radar 11x
- Data: October 1, 2026
- Location: Online
- Cost: Free of charge
Everyone stops at 10. RADAR turned AI up to 11. This free virtual event was about turning weeks of work into days: which AI projects to kill, why many AI-proof skills aren't technical, and what engineering looks like once agents write your code.
The day featured eight sessions from speakers at Google, AWS, Microsoft, Cloudera, Honeywell, DataRobot, Fifth Third Bank, and more, with dedicated blocks for the Americas, Europe, and the Middle East & Africa. Sessions covered escaping AI-pilot purgatory, the new developer workflow now that agents write code, AI-proof career skills, and responsible AI governance, closing with a live founder AMA.
Missed it? Watch the Radar 11x recordings, along with earlier editions: RADAR: AI Edition (2025), Radar Skills Edition, Radar Forward Edition, Radar: The Analytics Edition, and Radar: The AI Edition (2024).
2. Big Data & AI World
- Dates: March 4-5, 2026
- Location: Excel London
- Cost: Free of charge
The Big Data & AI World conference, part of Tech Show London, took place March 4-5, 2026 at ExCeL London. It was 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 provided 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.
3. Gartner Data & Analytics Summit
- Dates: March 9-11, 2026
- Location: Orlando, FL, US
- Format: onsite and virtual
- Cost: $4,925 (early bird from $4,475)
The Gartner Data & Analytics Summit was a gathering for chief data analytics officers and data and analytics leaders aspiring to transform their organizations through the power of data, analytics, and AI.
The conference was set up with several tracks to meet each attendee's individual goals and interests. These tracks covered a wide range of topics, including Leadership, Data Management, Analytics, Business Strategy, Machine Learning, and Governance and Privacy.
4. ODSC
- Dates: April 28-30, 2026
- 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. ODSC East , the featured event, offered a hybrid attendance format. It included training, networking opportunities, expos, and demos, with tracks ranging from Machine Learning, NLP, MLOps, and Data Visualization, so there was a track for most people in data to get personalized value out of the event. The event featured over 250 speakers, 300 hours of content, 1,700 companies, and thousands of attendees.
5. Data Science Next Conference Europe
- Dates: May 7-8, 2026
- Location: Amsterdam, Netherlands
- Cost: $750 (In-person in Amsterdam)
The Data Science Next Conference was an international AI and data conference aimed at both data science professionals and AI enthusiasts. It covered a range of topics and technologies, including NLP, Computer Vision, Open Data, and more.
6. World Data Summit
- Dates: May 20-22, 2026
- Location: Corinthia St George's Bay, Malta
- Format: onsite and virtual
- Cost: €2,050.95
The World Data Summit was a three-day event focused on data governance, data literacy and leadership, privacy and ethics, applications of machine learning, and open-source data technologies.
Attendees ranged across every seniority level, from analysts to directors and vice presidents. Featured speakers came from strong data-focused organizations like AT&T, Wayfair, Google, and Nike.
The summit could be followed virtually for a reduced registration rate. The virtual pass included access to the event platform, where attendees could watch main agenda presentations, check exhibition areas, and connect and chat with participants.
7. The Data Science Conference
- Dates: May 28-29, 2026
- Location: Chicago, IL, US
- Cost: $1,500
The Data Science Conference was a sponsor-free, vendor-free, and recruiter-free data science conference. The goal was to give attendees an opportunity to learn without needing to worry about being sold or prospected, which allowed for more genuine networking and more informative, sales-free panels and discussions. For networking, attendees could use a virtual business card to share their contact information and data science work in a hassle-free way. Speakers covered a wide range of topics, including Speech Models, Computer Vision, Privacy and governance, and other data topics and case studies.
8. Data + AI Summit
- Dates: June 15-18, 2026
- Location: San Francisco, CA, US
- Format: Onsite
- Cost: TBC (Historically, early-bird passes start around $1,500)
The Databricks Data + AI Summit 2026 was a leading global event for the data, analytics, and AI community, focused on the Lakehouse Architecture and the Databricks Platform. It brought together data engineers, data scientists, and architects to discuss Apache Spark, Delta Lake, MLOps, and the convergence of data warehousing and data lakes. Attendees gained practical knowledge and advanced strategies for building and deploying high-value, AI-powered solutions at scale using the latest open-source and proprietary tools.
9. World Conference on Data Science & Statistics
- Dates: June 16-17, 2026
- Location: London, England
- Cost: $599-$899, depending on timing and job or student status
Data Science Week, also called the World Conference on Data Science & Statistics, was a two-day event in the UK that emphasized academic research and industry-focused discussions around machine learning, math, and statistics. The 2026 theme was Data Science in the age of ChatGPT and AI.
FAQs
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.
Autrice di Data Science | Senior Technical Marketing Analyst presso Wayfair | MSE in Data Science all'Università della Pennsylvania
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