data science conference

Staying ahead in the rapidly evolving field of data science requires continuous learning and networking, and attending conferences is an excellent way to achieve this. These events provide a unique platform for professionals to gain insights into the latest trends, technologies, and best practices.

They also offer invaluable opportunities to connect with industry experts, thought leaders, and peers, fostering collaboration and innovation. Whether you’re looking to enhance your skills, discover new tools, or simply stay updated with the industry’s advancements, attending data science conferences can significantly contribute to your professional growth.

 

 

Here are some of the top data science conferences to attend in 2025:

1. The AI & Big Data Expo – UK 

The AI & Big Data Expo, scheduled for February 5-6, 2025, in London, UK, is a globally renowned event that brings together industry leaders to explore AI’s transformative potential. This conference will cover advancements in data engineering and strategies to enhance customer engagement using AI, making it a must-attend for professionals looking to stay ahead in the field. 

2. Chief Data and Analytics Officer (CDAO) – UK 

Another significant event is the CDAO UK 2025, taking place on February 4-5, 2025, also in London, UK. This conference is designed for Chief Data and Analytics Officers and addresses critical issues like data ethics, governance, and integrating data analytics into corporate strategies. It offers a unique opportunity for leaders to gain insights into the ethical and governance aspects of data management. 

3. Gartner Data & Analytics Summit – USA 

The Gartner Data & Analytics Summit, set for March 3-6, 2025, in Orlando, FL, USA, is a premier event offering insights into creating a data-driven culture within organizations. The summit will feature sessions covering best practices, case studies, and strategies for utilizing data to enhance decision-making, making it an invaluable resource for data professionals.

 

Learn more about Data Science Conferences in Asia

 

4. Big Data & AI World – UK 

Big Data & AI World, taking place on March 12-13, 2025, in London, UK, is a leading event that showcases the latest in big data solutions and AI advancements.

 

Know about Game-changing Advancements in AI

 

This conference offers a platform for professionals to learn about the latest trends and technologies in data science. 

5. Google Cloud Next – USA 

Google Cloud Next, taking place on April 9-11, 2025, at the Mandalay Bay Convention Center in Las Vegas, showcases the latest advancements in cloud technology and data analytics. This event provides insights into leveraging Google Cloud’s tools for AI and data management, making it a valuable resource for cloud professionals.

 

Understand about data Science Conferences in North America

 

6. The Open Data Science Conference (ODSC) East/West – USA/Europe

ODSC East is anticipated to be held on April 14–17, 2025 in Boston, USA, while ODSC West will occur in San Francisco, USA on October 27–30, 2025.

The Open Data Science Conference (ODSC) East/West offers deep dives into tools like TensorFlow, PyTorch, and real-world AI model development. With tracks catering to all levels, from beginners to advanced practitioners, this conference is perfect for anyone looking to enhance their skills in data science and AI. It is a key event for staying updated with the latest tools and techniques in the field.

7. European Data Innovation Summit – Stockholm, Sweden

The European Data Innovation Summit in Stockholm, Sweden, is known for its high-quality workshops on advanced data engineering. This Summit will be held in Sweden on April 23–24, 2025. This event focuses on real-world data transformation stories from leading companies, providing attendees with practical insights and strategies for leveraging data in their organizations. It is a prime opportunity for networking and learning from industry pioneers.

8. ODSC East – USA

ODSC East, set for May 13-15, 2025, in Boston, MA, USA, offers technical workshops and bootcamps on practical implementations of data science tools. This conference is ideal for professionals looking to gain hands-on experience with the latest data science technologies.

 

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9. Big Data Expo – China

The Big Data Expo in Guiyang, China, is renowned for showcasing cutting-edge AI and big data technologies. It will be held in China on May 26-29, 2025. This expo features keynote speakers from leading global tech firms and Chinese unicorn startups, offering attendees a glimpse into the future of data science and technology. It serves as a hub for innovation and collaboration among data science professionals. 

 

US-AI vs China-AI – Who’s leading the AI race?

 

10. The Data Science Conference – USA

The Data Science Conference is taking place on May 29-30, 2025, in Chicago, IL, USA. It is renowned for its sponsor-free environment, allowing attendees to focus solely on advancing their knowledge in data science. This unique approach ensures that the event remains free from distractions by vendors or recruiters, providing a pure and valuable experience for professionals seeking to deepen their expertise and network with peers in the field.

11. World Data Summit – Europe

The World Data Summit in Amsterdam, Netherlands is a premier event for data professionals, scheduled from May 21 to 23, 2025. This summit focuses on the latest innovations in analytics, emerging trends in artificial intelligence, and effective data governance practices.  

Attendees will have the opportunity to engage in discussions on best practices for data governance and scalability, making it an essential event for those looking to stay ahead in the data science field.

12. CDAO APEX Financial Services – Singapore

The CDAO APEX Financial Services event in Singapore, scheduled for May 2025, is tailored for financial data professionals and regulatory strategists. This summit focuses on data-driven transformations in the financial sector, providing insights into regulatory challenges and best practices. Attendees will benefit from expert-led sessions and networking opportunities with industry leaders. 

13. Big Data and Analytics Summit – Canada 

The Big Data and Analytics Summit in Toronto, Canada, is set to take place on June 4–5, 2025. This summit focuses on the latest innovations in big data and analytics, providing attendees with actionable insights for leveraging data in strategic decision-making. It is an excellent opportunity for data scientists, analysts, and executives to learn from industry leaders and network with peers. 

14. Data + AI Summit – Canada

The Data + AI Summit by Databricks is a must-attend event for anyone involved in the integration of AI and big data. Scheduled from June 9 to 12, 2025, in San Francisco, CA, this summit offers both in-person and online participation options. Attendees can look forward to cutting-edge sessions on Spark, machine learning frameworks, and AI-driven transformations.  

This event is ideal for developers, engineers, and AI professionals seeking to deepen their knowledge and stay updated with the latest advancements in the field. 

15. Gartner Data & Analytics Summit – Australia 

The Gartner Data & Analytics Summit is a global event with multiple locations, including Sydney, Australia, on June 17–18, 2025. This summit is designed for chief data officers, data leaders, and analysts, offering a comprehensive look at data strategies, generative AI applications, and the latest trends in data architecture and governance.  

 

Check out Strategies for data security and governance in data warehousing

 

The event features workshops, roundtables, and networking sessions, providing attendees with practical insights and opportunities to connect with industry peers. 

16. DataConnect Conference – USA 

The DataConnect Conference, scheduled for July 11-12, 2025, in Columbus, OH, USA, is a hybrid event focusing on the practical applications of data analytics and big data in business strategy. It offers interactive workshops and expert insights, making it an excellent opportunity for professionals to enhance their skills. 

Check out the top Data Analytics Books you should read

17. Data Architecture London

Data Architecture London, taking place on September 10, 2025, is a premier event for data architects and engineers. This conference offers deep dives into data infrastructure, governance, and building scalable architectures. Attendees will gain valuable knowledge on creating robust data systems and ensuring data privacy and security.

 

Discover the Benefits of an SCCM Infrastructure Upgrade 

18. AI & Data Science Summit – China

The AI & Data Science Summit will occur in Beijing on September 15–17, 2025. The Summit brings together academia, startups, and multinational corporations to discuss the future of AI in automation, finance, and healthcare. This summit provides a platform for sharing knowledge and exploring the latest advancements in AI and data science. Participants can expect to gain insights from leading experts and engage in thought-provoking discussions. 

19. GITEX Data Science Forum – Dubai

The GITEX Data Science Forum, part of GITEX Global, will be held in Dubai-UAE in October 2025. This data science forum emphasizes the integration of AI and big data across industries. This forum features dedicated sessions on data strategy, cloud computing, and IoT-driven analytics, making it an essential event for professionals looking to stay ahead in the data science field. Attendees will have the opportunity to engage with cutting-edge technologies and network with industry leaders.

20. KDD 2025 – USA

KDD 2025 is a prestigious academic conference that highlights innovations in knowledge discovery and data mining. It will occur this year on August 10–13, 2025. The exact location is still to be decided. With keynotes from leading scientists and industry pioneers, this conference provides deep technical insights and is a must-attend for researchers and professionals in the field. Attendees will have the chance to explore groundbreaking research and methodologies. 

 

 

21. Big Data LDN – UK 

Big Data LDN, scheduled for September 24-25, 2025, in London, UK, is a free event focusing on the latest trends in data management and machine learning. Featuring sessions from industry leaders, this conference provides a platform for professionals to learn about the latest developments in data science.

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22. Data Science Next – Singapore

Data Science Next in Singapore focuses on the future of AI, blending case studies, hands-on workshops, and discussions about ethical AI deployment. It will occur on November 5–6, 2025 in Singapore This event is ideal for professionals looking to explore the latest trends and best practices in AI and data science. It offers a comprehensive view of the evolving landscape of AI technologies.

23. AWS re:Invent 2025 – USA 

AWS re:Invent 2025, set for November 24-28, 2025, in Las Vegas, NV, USA, is a cornerstone event for cloud professionals. It offers in-depth sessions on AWS’s latest innovations in AI, machine learning, and big data technologies, making it an essential event for those working with AWS. This opportunity is a great chance to uplift your CV and make a difference through networking and dedication.  

 

These conferences provide excellent opportunities to network, learn, and explore the future of data science and analytics. Make sure to tailor your participation based on your professional focus and interests in the conferences. Keep an eye on the registration deadlines to secure your spot and make the most of this enriching experience. 

 

 

How to Choose the Right Conference 

 

 

Choosing the right conference can significantly impact your professional growth and networking opportunities. Here are some key factors to consider: 

Location and Budget 

• Proximity to the Event: Attending local conferences can save on travel expenses and be more cost-effective.
• Registration Fees: Evaluate the cost of registration, and look for early bird discounts or group rates.
• Accommodation and Other Expenses: Consider the overall cost, including accommodation, meals, and transportation. 

Relevance to Your Field or Career Goals 

• Specific Area of Interest: Choose conferences that align with your specific area of interest within data science, such as machine learning, AI, or big data.
• Career Aspirations: Select events that offer sessions and workshops relevant to your career goals and current projects. 

Availability of Workshops and Certification Programs 

• Practical Workshops: Look for conferences that provide hands-on learning opportunities to enhance your skills.
• Certification Programs: Some conferences offer certification programs that can boost your credentials and make you more competitive in the job market. 

Networking Opportunities 

• Meet Top Professionals: Attend conferences where you can meet and learn from industry leaders and thought leaders.
• Networking Sessions: Participate in networking sessions, social events, and discussion panels to connect with peers and potential collaborators. 

By considering these factors, you can choose the right conference that aligns with your professional goals and provides valuable learning and networking opportunities. 

Why Should You Prioritize These Conferences? 

 

 

Attending these top data science conferences offers numerous benefits. Here are some key reasons to prioritize them: 

Networking with Experts

Meet Industry Leaders: Interact with professionals who are driving the future of data science. 

Engage with Innovators: Gain valuable insights into the latest trends and technologies from thought leaders. 

Learning Opportunities 

Hands-On Workshops: Access workshops tailored to your professional goals, providing practical knowledge and inspiration. 

Keynote Sessions: Attend sessions that offer insights directly applicable to your work. 

Staying Updated 

Emerging Trends: Learn about new tools, methodologies, and best practices in data science. 

Ethical Considerations: Stay informed about the ethical aspects of data management and AI. 

Career Growth 

Skill Enhancement: Enhance your skills through specialized sessions and training programs. 

Networking: Build a network of like-minded professionals and explore new career opportunities. 

Tips for Making the Most of Conferences

 

To maximize your conference experience, follow these tips: 

Plan Ahead 

• Research the Agenda: Identify sessions that align with your interests.
• Register Early: Take advantage of early bird discounts and secure your spot in popular sessions. 

Engage Actively 

• Ask Questions: Participate actively in sessions by asking questions.
• Network: Attend networking events and exchange contact information with peers and speakers. 

Take Notes 

• Summarize Key Takeaways: Take notes during sessions and summarize the main points.
• Follow Up: Connect with people you meet on LinkedIn and continue the conversation to reinforce the knowledge gained. 

Explore Exhibits 

• Discover New Tools: Visit exhibitor booths to learn about the latest innovations and solutions.
• Engage with Sponsors: Gain insights into the tools shaping the industry by interacting with sponsors. 

By following these tips, you can make the most of your conference experience, gaining valuable knowledge and building meaningful connections. 

Conclusion 

Staying informed and connected in the data science community is crucial for professional growth. Attending these top conferences in 2025 will provide you with valuable insights, networking opportunities, and the latest trends and technologies in data science, AI, and machine learning.  

Explore these events as opportunities to grow your career, build your skills, and connect with like-minded professionals. Don’t miss out on the chance to be at the forefront of the data science revolution! 

In 2019, Data Science Dojo sponsored Kaggle Days taking place from December 11 to 12.

Kaggle Days will give Data Science Dojo a platform to continue giving back to the data science community.

Kaggle Days is a conference created by Kaggle and LogicAI for Kagglers to meet offline. It’s the “first global series of offline events for seasoned data scientists and Kagglers” as written on the Kaggle Days website.

These days take place all over the world, including current and past events in China, Dubai, San Francisco, Paris, Tokyo, and Warsaw. Attendees meet Grandmasters, win prizes, and compete in offline events.

They also have the opportunity to learn from seasoned professionals who are there to help grow the community.

Raja Iqbal, Chief Data Scientist and CEO at Data Science Dojo, is one of the seasoned professionals looking to help the community grow.

“We have 10 Meetup groups spread across the globe, but we’ve never been as far east as Tokyo. The closest we get is Singapore.” Raja said while counting on his fingers. “I just can’t wait to meet more people from a different part of the world who are excited to learn data science.”

What to expect at Kaggle days Tokyo

In Tokyo, attendees can expect to network, learn, compete, and earn prizes, like in many of the conferences. Kaggle Grandmasters, Masters, and data science experts will be in attendance to give presentations, talk shop, and network with everyone in attendance.

Data Science Dojo will be there to give a 90-minute workshop as well as network, hire, and learn from top Kagglers. The topic of DSD’s workshop has been narrowed down to two possibilities:

• The Art of Building Machine Learning Models for Large Scale Machine Learning
• Feature Engineering for Real-World Machine Learning Problems

Kaggle CTO, Ben Hamner, is the Keynote Speaker giving a talk titled Leveling-up Kaggle Competitions. Other talks from presenters include:

• Computer Vision with Keras – Dimitris Katsios, ML Engineer at LPIXEL
• Joining NN Competitions (for beginners) – Tomohiro Takesako, Competitions Master
• My Journey to Grandmaster – Jin Zhan,  Competitions Grandmaster
• Intro to BigQuery ML for Kagglers – Polong Lin, Developer Advocate at Google

Two Kaggle Competitions team members will also be giving talks. Julia Elliott (Competitions Team Lead) and Walter Reade (Data Scientist).

Presentations are tentative and subject to change. This will be updated when the full agenda has been announced.

About Data Science Dojo

Data Science Dojo offers a 5 day, in-person, and top-rated Data Science Bootcamp around the world. During the course, students learn everything from predictive analytics and ensemble methods to recommender systems and the fundamentals of big data engineering.

Raja and his team of instructors have trained more than 4,000 individuals from nearly 1,000 different companies. Attendees come from diverse backgrounds, including software development, management consulting, medicine, education, project management, target=”_blank” public service, finance, not-for-profit, mining, oil and gas, and more.

Helpful links

• Kaggle Days Tokyo – Home
• Data Science Dojo – Home
• Kaggle Days – Facebook Page

Data Science Dojo meetup groups

• Seattle
• Austin
• Silicone Valley
• New York
• Phoenix
• Washington DC
• Chicago
• Toronto
• Singapore
• Karachi

Data Science Dojo sponsored Kaggle Days Tokyo. Here’s an overview of what Kaggle Days are and what to expect.

Overview

Kaggle is an online learning platform for data science and machine learning. The educator uses competitions to help its users (called Kaggelers) practice and grow their data science skillset with publicly available datasets.

Kaggle Days are events that take place around the world. They started as a partnership between LogicAI and Kaggle as a way to bring Kaggelers together for an offline event. Competitions, seminars, workshops, and networking opportunities are available for Kaggelers to participate in. These events take place as one-off local events (Meetups) as well as multiday global events (conferences).

Kaggle days Tokyo – Agenda

The global event in Tokyo is taking place this December 11-12. Registration closed within a matter of days of opening, which shows the amount of popularity these events have among their participants. The agenda is jam-packed with exciting talks and tutorials from Kaggle Grandmasters and data science professionals, and I’d like to highlight a few.

Raja Iqbal – Tutorial on model validation and parameter tuning

Raja Iqbal is the CEO, Chief Data Scientist, and Lead Instructor at Data Science Dojo. He has an MS from Stanford and a Ph.D. from Tulane University. He spent more than 6 years at Microsoft Bing and Bing Ads working on various data science and machine learning research projects. Below is a description, given by Raja, of his workshop:

“Cross-validation is a popular technique for model validation and parameter tuning. In this tutorial, we will discuss other model validation and parameter techniques in scenarios where k-fold cross-validation may not be the best choice. We will also discuss some parametric and non-parametric statistical tests for comparing models.”

Why should you attend? 

Modern machine learning is about gathering the right data, feature engineering, validation, and parameter tuning. Not understanding the concepts or using the techniques correctly renders machine learning useless.

Date: 12/11/19

Time: 10:15 am – 11:45 am

Location: 27F Hanabi Room

Jin Zhan – My journey to grandmaster: Success and failure

Becoming a Kaggle Grandmaster (GM) is no small accomplishment. It takes years of practice to obtain this impressive title. Jin Zhan has multiple years of experience in data science and machine learning, as well as Hadoop. Currently, Zhan is a Data Scientist at Fast Retailing, where he focuses on demand forecasting, recommender systems, and customer comment analysis.

Why should you attend?

The original reason I chose this out of the bunch was that Jin is going to talk about his failures before becoming a grandmaster. Talking about our failures is often difficult, but we can learn more from them than our successes.

After (admittedly) combing through his LinkedIn profile, I found Zhan to be the perfect picture of success on Kaggle. His experience doesn’t come from one place and his education comes from multiple sources. Besides, Zhan’s a Grandmaster. What other reason to attend do you need?

Date: 12/11/19

Time: 4:35 pm – 4:45 pm

Location: 27F Matsuri Room

Kaggle competition

During a Kaggle competition, typically the only help or mentoring you receive is from your teammates or through Kaggle Kernels. At the competition in Tokyo (as well as the other global events) mentors will be available to help you along the way.

The mentors for the competition in Tokyo include:

• Ryuji Sakata – Kaggle Grandmaster and Data Scientist/Researcher at Panasonic Corporation
• Walter Reade – Data Scientist on Kaggle Competitions Team
• Dimitry Gordeev – Kaggle Grandmaster and Data Scientist at UNIQA
• Pawel Jankiewicz – Kaggle Grandmaster and Owner/Founder at LogicAI
• Jin Zhan – Kaggle Grandmaster and Data Scientist at Fast Retailing

You should feel compelled to pick their brains as much as you can. All of these people are successful and established data scientists with extensive knowledge of Kaggle competitions. Get as much out of them as you can.

Date: 12/12/19

Time: 10:30 am – 6:30 pm

If you’re a Kaggeler who missed out on joining a global Kaggle Days event, keep an eye on their schedule. You can also join a local event and get to know your local Kaggelers!

Data science seminars are continuing to grow in popularity around the world. Here is a list of 4 conferences to attend in Asia.

Data science seminars in Asia

Previously, I’ve written posts about 2019 and 2020 data science conferences to attend. Researching for both of those posts has given me a fair amount of knowledge about conferences happening in different regions around the world. In this article, I’m going to cover 4 data science seminars in Asia that you should consider attending in 2020.

1. Open Data Science Conferences (ODSC), India

ODSC doesn’t need an introduction. It’s one of the biggest and most well-known conferences out there. With four days of action, two of which are dedicated solely to training, this is a conference you don’t want to miss. ODSC specializes in the latest tool, techniques, and practices. This conference might be a little overwhelming due to the sheer volume of events for a beginner, but if you feel comfortable with the basics and want to continue learning, you should check it out.

Dates: September 9-12, 2020

Location: Bengaluru, India

Venue: Sheraton Grand Bangalore Hotel

2. Big Data World, Singapore

Many times, the first thing you should look at to see how big or popular a conference is is the companies sponsoring the event. When you look at Big Data World Singapore’s sponsors, you see companies like Oracle, Huawei, TIBCO, and SAP. With those sponsors and many others, do you need to see anything else? The answer’s yes, by the way.

This data conference doesn’t just have great sponsors, but also amazing speakers. In 2019, the speakers had job titles like:

• Senior Data & Applied Scientist
• Head of Business Intelligence
• Senor Solutions Consultant
• VP of Enterprise AI
• Head of Digitalization

And the list keeps going.

If you’re going to pass up on ODSC, your next stop should be in Singapore to attend this conference.

Dates: October 14-15, 2020

Location: Singapore, Singapore

Venue: Sands Expo and Convention Center

If you’re looking for a strict, face-to-face learning experience, you might consider Data Science Dojo’s data science boot camp.

3. Machine Learning Developers Summit 2020 (MLDS20)

MLDS 2020 will feature some of the foremost individuals in machine learning. Put on my Analytics India Magazine, MLDS promises to be packed with learning and networking sessions to allow you to build relationships with prominent professionals and apply what you’ve learned as soon as you get home. There are two different locations where you can attend, so choose the one that’s right for you!

Dates: January 22-23, 2020

Location: Bangalore, India

Venue: Nimhans Convention Center

Dates: January 30-31, 2020

Location: Hyderabad, India

Venue: Khemka Auditorium, Indian School of Business

4. MarTech Summit

The MarTech Summit claims to be “the only marketing technology summit in Asia”. MarTech’s goal is to help you learn and tackle the skills required for digital transformation. At this conference, you will meet some of the leading experts in marketing technology from leading brands. For example, the conference held in Singapore has speakers from Coca-Cola, HP, and Kellogg’s. As a marketing manager, I wish they held a session in the United States.

Dates: February 20-21, 2020

Location: Singapore

Venue: Suntec Singapore Convention & Exhibition Centre

Dates: April 22-23, 2020

Location: Hong Kong

Venue: TBA

Dates: May 27-28, 2020

Location: Bankok, Thailand

Venue: TBA

Dates: September 16-17, 2020

Location: Jakarta, Indonesia

Venue: TBA

North America (the USA and Canada) has a crazy amount of data science conferences to choose from. Here are 6 conferences you should consider attending.

There is an abundance of events to attend so make sure to do your homework. I’ve also included resources at the end of the article if you’d like to look at other options.

Maybe North America isn’t the region you’re interested in? Don’t worry, I’ve also written about conferences to attend in other regions of the world:

• Asia
• Europe (in progress)
• Latin and South America (in progress)
• The Middle East and Africa (in progress)

1.  Women in analytics

This conference was also featured in my list for 2020, so it’s no surprise that I also included it here.

Women in Analytics (WIA) is all about providing “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,”. The conference has grown every year since its founding in 2016, now taking 3 days to accommodate all the speakers. People of all genders are welcome to join.

Date: June 3-5, 2020

Location: Columbus, OH, USA

Venue: Greater Columbus Convention Center

2. The data science conference

Reverberating from my blog post on data science conferences to attend in 2020, I would highly suggest attending The Data Science Conference.

Vendor-free, sponsor-free, and recruiter-free, this conference isn’t trying to sell you anything. Organizers are just trying to bring together the best data science minds to help attendees learn and grow the field. Obviously, if you’re attending a conference to simply network you should pass on this event, but if you want to learn in a distraction-free environment you should highly consider attending.

Date: May 14-15, 2020

Location: Chicago

Venue: Gleacher Center

3. TDWI Las Vegas

What happens in Vegas stays in Vegas…Okay, that’s completely untrue because you’re going to take away a lot from Transforming Data With Intelligence (TDWI) in Las Vegas.

TDWI is one of the leading data science conferences in North America. Even if you have to travel, you should consider attending. TDWI prides itself in offering full and half-day courses, rather than the traditional 45 to 60-minute sessions, and that’s what really sets this conference apart for me.

You actually get time to pick the brain of the instructor rather than running through a session and quickly forgetting what it was about because the next one has already started. TDWI also has a Sell Your Boss template to help you get those work days off for professional development.

Date: February 9-14, 2020

Location: Las Vegas

Venue: Caesars Palace

4. Predictive Analytics World (PAW) Las Vegas

PAW typically comes to Las Vegas every year and doesn’t really need much explaining. The conference is one of the leaders in data science, machine learning, and AI coverage and is also one of the most widely attended. Formerly known as Mega-Paw and being rebranded as Machine Learning Week, you can expect the same great conference.

Machine Learning Week is technically 5 conferences and 10 workshops with 160 speakers and 150+ sessions packed into 1 week. They sell passes for all 5 days or as little as 2. It depends on what you want to get out of the week. Business, Healthcare, Finance, Industry 4.0 (IoT), and Deep Learning are the five conferences taking place during the week.

Keynotes from GM, Lyft, Google, Kennesaw State University, Manulife, and Fidelity Investments highlight the list of speakers at ML Week. If you can’t attend all 5 days, make sure to find the conference that most applies to your industry (or future industry) to get the most out of it.

Date: May 31 – June 4, 2020

Location: Las Vegas

Venue: Caesars Palace

5. ODSC East 2020

The Open Data Science Conference (ODSC) is one of the best in the world. It’s 5 days of learning, networking, developing, and building that leave you exhausted at the end of each day. It includes 8 focus areas spread across 5 days, with 3 of those days strictly for training.

The best conferences don’t earn their title without incredible content. Some of the speakers at ODSC East are from some of the most renowned universities and organizations. Google, Harvard Medical School, Bloomberg, and MIT-IBM Watson AI Lab all have representatives speaking/instructing during the conference.

The most difficult part of attending will be choosing who’s talk you should attend. That would require a whole different blog post, so I won’t get into it.

Date: April 13-17, 2020

Location: Boston, MA, USA

Venue: Boston Hynes Convention Center

6. Big data and analytics Summit Canada

What I love about the Big Data and Analytics Summit is that it’s not as big as some of the conferences previously mentioned. It won’t be as chaotic, you won’t feel overwhelmed, and you’ll get more networking time with speakers and peers.

The other great thing is the list of speakers still comes from reputable companies in the field. Representatives from McDonald’s, Coca-Cola, UPS, and Sephora will all be in attendance at the 2020 event. One speaker that I would actually like to see is  Sunanda Parthasarthy, Associate Director of  Data Science & Algorithms at Wayfair.

Sunanda is joined by Eugene Wen and Niraj Krishna for a panel titled Secure Buy-in for your Big Data Initiatives in a Data-Driven Culture. They’ll be giving tips on visualizations, value propositions, and talking about their experience. This conference looks to give you a real-world outlook on big data and data-driven cultures.

Date: February 12-13, 2020

Location: Toronto, ON

Venue: Hyatt Regency Toronto Hotel

Resource of other conferences

• KDnuggets
• Data Pipeline
• Kolabtree
• A Data Science Blog

Also, If you want to learn data science for professional development without all the distractions from a conference, consider attending a data science Bootcamp taught by Data Science Dojo.

Data Science Dojo is partnered with ODSC West 2020. Here are some of the key things to note.

Whether it’s data science bootcamps, conferences, sporting events, birthday parties, etc… in-person events around the world have had to adjust to COVID-19. Open Data Science Conference and Expo (ODSC) are no different. So how has one of the largest data science conferences adjusted to the current climate and who should we be excited to see speak?

About ODSC West

This year, ODSC is taking a hybrid approach to delivering the conference. Taking place October 27th – 30th, the conference will be held both virtually and in person. It will involve 40 training sessions, forty workshops, two hundred speakers, and three hundred hours of content. If you’re looking for a networking opportunity, they are also expecting 7500 attendees. I don’t think I need to dive deeper to say there’s going to be plenty to do at ODSC West, but what should you prioritize? There are 4 presenters that jump out to me right away:

• Lisa Amini, Ph.D.: Director, IBM Research – Cambridge at IBM Research AI
• Yashesh A. Shroff, Ph.D.: AI/ML Partner Ecosystem Manager and Strategic Planner at Intel
• Suchi Saria, Ph.D.: Director, Machine Learning & Healthcare Lab at Johns Hopkins University
• Reza Shiftehfar, Ph.D.: Engineering Management & Leadership at Uber

We don’t know what they will be presenting quite yet but based on their experience I’m pretty excited to find out.

Conference focus areas

ODSC West has 8 focus areas:

• Machine Learning and Deep Learning
• Natural Language Processing (NLP)
• Research Frontiers
• Data Science Kick-start
• Machine Learning for Programmers
• Data Visualization
• MLOps & Data Engineering
• Mini-Bootcamp

I won’t go through all these sessions, but as someone who works in marketing, I’m most excited for the NLP track.  To make a long story short, NLP is used as a method for computers to analyze natural language. It has made huge strides in the last couple of years and has seemed to explode in popularity throughout data science as an industry. I see NLP being a necessary technique for the future of marketing, if it isn’t already, which is why I’m personally excited for this track. Watch the video below if you want a short introduction to NLP.

ODSC west

If you’re interested in attending ODSC West, you can use Data Science Dojo’s community discount code (ODSC_VC_DataScienceDojo) to get up to 65% off passes.

 

• Link for General Passes
• Link for bootcamp passes