Attending data science conferences is one of the best ways for data science experts and people involved in software development to stay up to date regarding the ongoing research in the field of Data Science. Most of the conferences will witness guest speakers from every corner of the world speaking on a particular topic and one can have discussions with specialists as well.
Take a look at the top conferences related to data science and you can gain more knowledge and get realistic ideas from these.
1. Future of Data & AI
Website: Future or Data & AI
Date: 1-3 March
Location: Online
Future of Data and AI is an unparalleled opportunity to connect with top industry leaders and stay at the forefront of the latest advancements in the field. Featuring 20+ industry experts, our two-day virtual conference offers a diverse range of expert-level knowledge and training opportunities, including panel discussions, AMA (Ask Me Anything) sessions, workshops, and tutorials. So whether you are a seasoned professional or a curious beginner, don’t miss this chance to connect, learn and shape the future.
Overview of rhe Conference:
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Panel Discussions
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Ask Me Anything sessions
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Talks
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Workshops
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Tutorials
Who Should Attend:
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Data researchers
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Software engineers
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Data analysts
2. BDA 2023
Website: BDA 2023
Date: 8 March
Location: Utrecht
This is a very exciting and informational session. Those who have newly joined this career path should definitely attend these sessions as it will help build knowledge and prowess in your field early- handoff. It will focus on recognizing patterns in unstructured and structured data and so much more.
Overview of the Conference:
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The first session will focus on enhancing business planning and decision making, building agile, flexible, and strong big data architecture.
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The second session is focusing more on overcoming these major obstacles and how to maintain an increasing efficiency even in these trying times.
Who Should Attend:
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Data researchers
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Software engineers
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Data analysts
3. International Conference on Urban Analytics and Data Sciences (ICUADS)
Website: ICUADS
Date: 20-21 March
Location: Madrid, Spain
This is an interdisciplinary platform for researchers, practitioners, and educators to present and discuss the most recent innovations and trends. The conference will provide an exceptional value to the students and each one attending the event.
Overview of the Conference:
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Discussion Forum
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Sessions
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Training
Who Should Attend:
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Urban Analysts
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Data analysts
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Machine learning experts
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Complex system analysts
4. International Conference on Data Science and Competitive Intelligence (ICDSCI)
Website: [ICDSCI](https://waset.org/data-science-and-competitive-intelligence-conference-in-april-2023-in-athens
Date: 3-4 April
Location: Athens, Greece
This two-day event will help you engage with other data engineers, analysts, and scientists who are working to solve the most complex data reliability programs that many enterprises might be currently facing.
Overview of the Conference:
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Talk by experts
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Sessions
Who Should Attend:
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Data scientists
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Competitive intelligence analysts
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Business intelligence experts
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Information systems engineers
5. International Conference on Computational Data Science and Engineering Applications (ICCDSEA)
Website: ICCDSEA
Date: 3-4 April
Location: Venice, Italy
This conference can provide a premier platform for researchers, practitioners, and educators all to present and discuss their most recent innovations, trends as well as concerns and practical challenges encountered by them and their solutions.
Overview of the Conference:
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Expert Sessions
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Discussion Panels
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Question and answer sessions
Who Should Attend:
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Leading academic scientists
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Researchers
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Research scholars
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Analysts
6. NLP Summit
Website: NLP Summit
Date: 4-5 April
Location: Online
This virtual conference will showcase NLP best practices, the various challenges one faces in applying deep learning and transfer learning in practice, will help you by giving various anecdotes on real-world case studies and so much more. No matter what location you might be based in, you can attend this seminar and gain all the knowledge you require.
Overview of the Conference:
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Virtual conference showcasing best practices of NLP
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Get various anecdotes on real-world case scenarios
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Knowledge of various challenges one can face in deep learning and how to overcome it
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Latest open source libraries, transformers, and models you can use today.
Who Should Attend:
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Programmers
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Software engineers
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People interested in building language understanding applications
7. Privacy Symposium
Website: Privacy Symposium
Date: 17-21 April
Location: Venice, Italy
This conference will help you connect with top-level professionals who will highlight the recent developments in innovative technologies, data protection regulations, and compliance.
Overview of the Conference:
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Sessions to promote international dialogue
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Discussions on to promote international knowledge
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Expert Sessions on data protection
Who Should Attend:
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Data protection professionals
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Data scientists
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Data analysts
8. Data Reliability Engineering Conference (DRE-CON)
Website: DRE-CON
Date: 19 April
Location: Online
The conference will be an exciting day for all data scientists, engineers, and analysts. Since it will be a day full of talks around technicalities, panels and networking focused on data reliability standards and various innovations.
Overview of the Conference:
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Online event, so calm and casual connection between occupants
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You will hear personal anecdotes from senior specialists
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Expert talks
Who Should Attend:
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Data engineers
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Data Analysts
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Data scientists
9. International Conference on Information, Data Science and Informatics (ICIDSI)
Website: ICIDSI
Date: 24-25 April
Location: Istanbul, Turkey
International Conference on Information, Data Science, and Informatics will focus on the core skills which are paramount to your success in fields like information processing and data science. Attendees will find useful information and gain knowledge from this conference.
Overview of the Conference:
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Talk to various experts about topics of interest
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Discussion forums
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Talks on to find solutions to various challenges
Who Should Attend:
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Big data and cloud computing experts
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E-Commerce and E-government managers
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Software engineers
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Artificial intelligence experts
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Database technology experts
10. Data Summit Connect
Website: Data Summit Connect
Date: 10-11 May
Location: Boston, Massachusetts, USA
Attending this seminar will allow you to grow personally and professionally with practical business tips and tactics. You will be able to gather knowledge about various creative ways which are employed by leading firms, and also learn about different methods how to tackle data management difficulties.
Overview of the Conference:
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Three-day seminar
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You will receive practical guidance and training
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Sessions on how to tackle data management difficulties
Who Should Attend:
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Software developers
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Project managers
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DBAs
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Data architects
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Data scientists
11. International Conference on Biomedical Data Science (ICBDS)
Website: ICBDS
Date: 19-20 June
Location: Riga, Latvia
This conference would include various demonstrations of interoperability across various settings, organizations, regions, and nations in support of data science. The experts would highlight the various different data and software market models that emphasize sustainability.
Overview of the Conference:
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Discussion forums
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Sessions
Who Should Attend:
All those interested in
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New data
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Softwares
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New models
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Data science
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Data analyst
12. DataConnect Conference by women in analytics
Website: DataConnect
Date: 20-21 June
Location: Columbus, Ohio, USA
This annual DataConnect conference brings together various industry leaders, experts, and entrepreneurs to discuss the various latest trends, advancements, technologies et cetera. You will get to learn from high-quality content by thoughtful leaders through various presentations, engaging panel discussions and so much more.
Overview of the Conference:
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Various talks by industry leaders
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Various experts from various fields
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Discussion regarding the latest trends, advancements, technologies.
Who Should Attend:
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Data analysts
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Data scientists
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Software developers
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Software engineers
13. International Conference on Data Science (ICDS)
Website: ICDS
Date: 22-23 June
Location: London, United Kingdom
At this conference, you will get to hear experiences and gain knowledge from various data engineering teams, modern data stack companies, founders, and various other speakers.
Overview of the Conference:
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Interact with various experts
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Senior specialists sessions
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Discussion forums
Who Should Attend:
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Data scientists
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Big data cloud, mining, and managers
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Computer scientists
14. World Conference on Data Science and Statistics
Website: World Conference on Data Science and Statistics
Date: 26-28 June
Location: Frankfurt, Germany
The world conference on Data Science and statistics or ‘Data science week 2023’ slated in Dubai, UAE follows the theme of “Understanding the Data Science: Can help now and in the Future”.
Overview of the Conference:
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Interactive session
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Expert Talks
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Meetings
Who Should Attend:
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Data scientists
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Data researchers
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Software developers
15. International Conference on Big data and Data Sciences (ICBDDS)
Website: ICBDDS
Date: 6-7 July
Location: Bali, Indonesia
This conference is about scalability and portability issues of big data, platforms and technologies for big data, digital forensics, parallel processing of big data, distributed access to big data, applications of big data, data visualization and people who have an interest in it should attend this conference.
Overview of the Conference:
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Talk by experts
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Sessions
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Training
Who Should Attend:
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Data scientists
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Data Analysts
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Big data researchers
16. International Conference on Cheminformatics and Data Sciences (ICCDS)
Website: ICCDS
Date: 3-4 August
Location: Amsterdam, Netherlands
Since it is organized by the World Academy of Science, Engineering, and technology, it is mainly focused on the fields of such. So anyone who is interested, or their fields are relating to topics like computer sciences, modeling, numerical analysis and simulation, Computer-aided process engineering, various other tools for chemical product designs and so much more should look forward to this conference.
Overview of the Conference:
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Meetings
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Training
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Workshops
Who Should Attend:
Those interested in
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Computer scientists
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Software developers
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Software Architectures
17. International Conference on Sports Analytics and Data Science (ICSADS)
Website: ICSADS
Date: 10-11 August
Location: New York
This unique data science conference is a way for the community to gather face-to-face and educate each other. Those who are new in this field should definitely check this out, since this unique one-of-a-kind conference will help you avoid mistakes made by those before you, and help you gain knowledge that has taken those before you so far in this career line.
Overview of the Conference:
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Talk by experts
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Discussion sessions
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Workshops
Who Should Attend:
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Sports Analysts
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Data visual experts
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Data science experts
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Sports psychologists
18. International Conference on Communication and Data Science (ICCDS)
Website: ICCDS
Date: 24-25 August
Location: Paris, France
This science event is focusing on providing a universal unique forum for fields that develop computational methods, and other fields of data sciences. So anyone with even a remote interest in data science needs to go to this conference, let alone someone whose entire career revolves around Data science.
Overview of the Conference:
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Sessions
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Workshop
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Training
Who Should Attend:
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Data scientists
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Communication systems experts
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Cellular systems experts
19. International Conference on Data Science and Business Informatics (ICDSBI)
Website: IDCSBI
Date: 4-5 September
Location: Tokyo, Japan
This conference will help people to exchange and share experiences and research results on all aspects of Computational Data sciences and Engineering Applications.
Overview of the Conference:
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Seminar
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Sessions
Who Should Attend:
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Business informatics experts
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Data scientists
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Entrepreneurship experts
20. International Conference on Computational and Data Science (ICCDS)
Website: ICCDS
Date: 18-19 September
Location: Paris, France
The best part about this conference? Since it is a face-to-face meeting and that too by senior specialists, it will help you to stimulate new experiences in such a new casual atmosphere and help to educate each other, illuminate best practices, and - when required – innovate new solutions in a casual, calm environment.
Overview of the Conference:
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Discussion forums
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Sessions
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Training
Who Should Attend:
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Computational and data scientists
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Engineers
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Analysts
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Predictive analysts
21. Data Science Salon
Website: Data science salon
Date: 19 September
Location: Both in-person (Miami) and online
This salon is known to be unique and has grown into a very diverse community of senior data science, technical, and machine learning specialists, who have a ton of experience and knowledge that will surely help you in your career.
Overview of the Conference:
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Discussion Forum
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Workshop
Who Should Attend:
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Human resource managers
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Intellectual property experts
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Knowledge managers
22. TDWI Conference and leadership Summit
Website: TDWI Conference and leadership Summit
Date: 5-10 November
Location: Orlando, Florida, USA
At this conference, you can hear from various industry professionals about various data difficulties and how to overcome them. Various topics about new technology and techniques will be discussed in depth at this conference.
Overview of the Conference:
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Sessions on analytic insights
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Discussion on data planning
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Workshops on modern database administration
Who Should Attend:
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Those who want first-hand experience knowledge from senior specialists
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Data analysts
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Data engineers
23. International Conference on Vehicle Analytics and Data science (ICVADS)
Website: ICVADS
Date: 30-31 December
Location: Paris, France
This wonderful conference will give you full knowledge of networking and sharing. Through this event you improve your skills, thereby connecting with experts.
Overview of the Conference:
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Workshop
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Training
Who Should Attend:
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Big Data and vehicle analysts
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Reporting tools experts
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Vehicle information systems experts
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Interaction designers
24. Cognilytica
Website: Cognilytica
Date: To be announced
Location: Washington, United States of America
It is a great conference for those who have just ventured into this field and want more insight and ways to improve their career without spending the number of years that others have spent.
Overview of the Conference:
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Discussion forums
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Expert talks
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Divided into two sections; featured presentation and QnA session.
Who Should Attend:
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Data engineers
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Data scientists
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Data analysts
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ML experts
25. APPLY (CONF)
Website: APPLY (CONFERENCE)
Date: To be announced
Location: Online
APPLY (CONF) is a huge event for those in the data and machine learning career-focused paths. Here one can discuss the practical data engineering challenges one faces or might face in the future of their careers when you might build ML for the real world.
Overview of the Conference:
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Discussion regarding practical data engineering challenges and finding solutions
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Expert forums to gain knowledge about what the senior specialists in this field do, what are their best practice development patterns, their tools of choice, and the emerging architecture they use.
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You'll get to learn about the various emerging architectures you can use to successfully build – and manage various production ML applications.
Who Should Attend:
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Data scientists
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Data analysts
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ML specialists
26. International Conference on Data Science and Big Data Analytics (ICDSBDA)
Website: ICDSBDA
Date: To be announced
Location: Berlin, Germany
The aim of this two-day event is to bring together diverse scholars for presentation within the conference program. Experts in the academic field, data scientists are more likely to exchange and share their experiences and research results on all aspects of Data Science and Big Data Analytics.
Overview of the Conference:
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Workshop
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Sessions
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Training
Who Should Attend:
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Programmers
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Software engineers
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Researchers
Conclusion
So these were the top 26 Data Science Conferences that you need to attend if you have a keen interest in learning and knowing more about Data Science and related programs.
FAQs
What is Data Science?
Data science is an interdisciplinary field that involves the investigation of a large amount of data using modern tools. The main purpose of this domain is to derive meaningful information from unseen patterns, thereby helping companies in making important business decisions. A data scientist is one who deals in data collection and furthermore extracts meaningful insights from it.
What are Data Science conferences?
Data Science Conferences are programs organized throughout the year for discussion and promotion of Data science. Many professionals and researchers organize such events and through live or virtual interactive sessions they assist people and data scientists to enhance their knowledge of agile development.
How helpful are Data Science conferences?
Data science conferences are a great platform to network and learn about new tools. These events help in enhancing your skills and even uncover best practices to make your work life easier. One can learn more about new technology, and techniques, and also share personal experiences with data difficulties and how they are addressed. In addition, you will receive practical guidance and recommendations for your data-related business difficulties.
What happens at Data Science conferences?
Data science conferences are a huge platform where people all across the world take part and discuss their views on a shared topic. It includes debates, discussion forums, expert talks, presentations, and interactive sessions. Such events are very resourceful for beginners or already possess the skills of an expert.
Why are Data Science conferences important?
Data Science conferences are an important platform that provides tons of benefits to the ones attending them. Beginners or the ones thinking of starting a career as a data scientist are highly recommended to attend these sessions. This will help them gain a lot of knowledge regarding the practices and values related to Data Science.
