Data Science & Statistics

Conference Details

Date: 17 June 2024

Time: 09:00

Duration: 3 days

Location: Stadhouderskade 12, Amsterdam, Netherlands

Cost: Register online for more information.

Organiser: The People Events

Conference Website

Conference Description

About Data Science Week 2024

Welcome! The World Conference on Data Science & Statistics is one of the largest and the most technological annual events represented in three regions, bringing together the most innovative minds, enterprise practitioners, technology providers, start-up innovators, and academics, working with Data Science, Big Data, ML, AI, Data Management, Data Engineering, IoT and Analytics, in one place to discuss ways to accelerate AI-driven Transformation throughout companies, industries, and public organizations.

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. 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.

The Data Science Week 2024 is constructed so it equally addresses all the elements of data-driven and AI-innovative business: data, people, processes and technology. The event is built to be both academic and business, practical and technological, realistic and futuristic, educational and exciting, regional and global, live and digital, general and niched, inspiring and influential. It will be representing some of the best data driven innovative technology, projects, products, business ideas and research, presented by some of the most eminent people in the world.

The conference will facilitate the young researchers, industries leaders, and research agencies especially, those, who are functioning their research work in the data science domain of Computer Science, Information Technology, Healthcare, Finance, Electronics, and Communication Engineering with valuable deliberations in order to make the results more representative. The program is divided into three days, each day focusing on a specific topic, and contributions to this colloquium will also present practice-oriented research as well as research on teachers’ professional development.

We welcome you to explore the event and see you at the event.

The Topics to be Discussed:

• Data Science & Technology;
• AI & Machine Learning;
• Data Visualization;
• Advanced Analytics;
• Cloud Computing.