Register here

Boston Hynes Convention Center

April 22-25th | In-Person & Virtual 2024

BOSTON

2024

HYNES CONVENTION CENTER AND VIRTUALLY

UNLOCK YOUR FULL POTENTIAL

Kick-start your career in data science in 3 or 4 immersive days plus pre-event training with this data science bootcamp. Get the skills you need, taught by world-renowned experts.
ODSC AI Mini-Bootcamp is the best way to gain in-demand machine learning skills in the shortest time with minimum investment. 
A truly immersive experience, you will access a range of industry-focused data science topics on a scale not offered elsewhere in the ODSC data science bootcamp. Uniquely, you will also gain invaluable insights by networking and connecting with hundreds of data science attendees, world-renowned instructors, industry experts, and dozens of top companies seeking the next wave of talent.

WHY AN ODSC BOOTCAMP?

RESKILL & UPSKILL

Taught by renowned industry experts, an ODSC AI Mini-Bootcamp is the quickest, most cost-effective way to get started on your data science and AI career journey.

WHY ODSC BOOTCAMPS?  
BUILD YOUR SKILLS AND BUILD YOUR NETWORK

12 Primer Courses

With Pre-Conference training you can start learning the fundamentals before the conference. Learn GenAI, LLMs, Python, Programming, SQL, Data Wrangling, AI , and more. 

 3 or 4-day Immersive

From Apr 22 to 25th, join our 4-day live immersive AI Bootcamp. Get hands-on experience in machine learning and deep learning. Our first day, April 22 is virtual for all

Continue Learning

After the conference, you will be perfectly positioned to continue learning. With Ai+ on-demand training and discounted live training, you can learn at your own pace. 

AI Certification  

AI Bootcamp attendees get a certificate of completion and access to orientation sessions. We also offer test-based certificates. Certificates are available for both in-person and virtual

WHAT YOU WILL LEARN

PROGRAMMING

Python,  R, Jupyter Notebooks, Julia

DATA WRANGLING

SQL, Spark, Pandas, Tableau

LLMs and Generative AI

Prompt Engineering, Large Language Models, & GenAI

MACHINE LEARNING & NLP

Supervised, Unsupervised, & Reinforcement ML, NLP

DEEP LEARNING

Neural Networks, GANS, CNN, LSTM

FRAMEWORKS

PyTorch and TensorFlow Keras, scikit-learn

TOOLS

Airflow, MLFlow, MLOPs, Spark, Kubeflow

DATA VISUALIZATION

D3.JS, Plotly, MatPlotLib, Tableau

BUILD SKILLS & GROW YOUR NETWORK

DIVE DEEPER

Get hands-on experience in job-ready skills

East 2024 Mini-Bootcamp Overview

Begin your data science training with pre-conference, live, and on-demand training to build confidence in the fundamentals. Steadily progress through the data science bootcamp week with our hands-on training and expert-led sessions and workshops. Post-conference, take advantage of our continuing on-demand training sessions. Refer to the timeline below.

Start Now! Pre-Bootcamp On-demand Training

Why wait? Get started immediately in your learning journey with free access to introductory concepts with short, to-the-point, and industry-driven on-demand courses provided by our associated, on-demand training platform: Ai+ Training

Schedule: Self-paced

  • Note: only accessible to Bootcamp registrants and VIP registrations. 
  • Courses provided by Ai+ training and includes a premium subscription
  • Please create a Free account on Ai+ Training and allow 48 hours from purchase to active Ai+ premium subscription

Free Pre-Bootcamp Live Training Warm up

Get started in your learning track with free access to LIVE PRE-BOOTCAMP COURSES to learn core concepts from top instructors.  These are held LIVE virtually. Currently, training sessions include:

  • ODSC Bootcamp Primer: Introduction to Data Course 
  • ODSC Bootcamp Primer: Data Wrangling with SQL Course
  • ODSC Bootcamp Primer: Programming Primer Course with Python 
  • ODSC Bootcamp Primer: Introduction to AI 
  • ODSC Bootcamp Primer: Data Wrangling with Python 
  • ODSC Bootcamp Primer: Introduction to  Machine Learning
  • ODSC Bootcamp Primer: Introduction to Large Langue Modesl and Prompt Engineering

Each course is $199 (total $796) Free to Mini-Bootcamp, VIP registrants

DATES TO BE ANNOUNCED DECEMBER 2023 FOR JAN-APRIL, 2024 COURSE DATES

Bootcamp Orientation

To help our Bootcamp students, we will be offering virtual Bootcamp Orientation to help with the following:

  • Answer questions on the ODSC East Bootcamp program
  • Understand on-demand, live, and event program content
  • Find out what courses are available on Ai+
  • Get help with assignments on Ai+

Bootcamp Day 1 : Beginner Level Sessions (April 22nd) (Virtual Only)

These foundation courses include training sessions, workshops, and tutorials. * For Mini-Bootcamp/VIP Pass holders only.

The full schedule is coming soon.

Bootcamp Day 2 & 3 : Beginner to Intermediate Level (April 23rd -April 24th) (Virtual/In-Person)

Choose from in-person and virtual live sessions. Includes training sessions, workshops, and tutorials. The full schedule is coming soon.

Bootcamp Day 4: Beginner-Intermediate-Advanced Level (April 25th) (Virtual/In-Person)

Choose from in-person and virtual live sessions. Includes training sessions, workshops, and tutorials.

Post Conference : 1-year Premium Subscription on the Ai+ Training

What is included

  • Foundations for Machine Learning Bootcamp: 14 On-Demand Sessions
  • Machine Learning Certification
  • Certification Assessments and Badges
  • Entire On-Demand Training Library (50 + courses) and All Previous ODSC Conference Recordings (100+ sessions)
  • Monthly Webinars
  • All Assessments (Skills, Feedback, Coding Proficiency and Coding Proficiency Exam)
  • Certificate of Completion for Every Course 

And much more. See everything that is included  here

Free Pre-Bootcamp Primer Courses

Data, Coding, and AI preparation courses for ODSC Mini-Bootcamps

ODSC Bootcamp Primer Courses

These primer courses can be taken stand alone or as part of our Mini-Bootcamp series. This foundations series is built from the ground up to boost your understanding of data-centric AI

Hosted on Ai+ Training and included FREE as part of your ODSC AI Mini-Bootcamp Pass.

learn more

Pre-Bootcamp Workshop Dates

Pre-Bootcamp live dates will be announced in December 2024 and courses will run from January to April 2024 prior to ODSC East

The AI Bootcamp Experience

Virtual Experience

In-Person Experience

LEARN FROM THE LEADING EXPERTS

Our mission is to provide you with applied training from some of the top instructors in the field. Our past instructors:
CEO and Software Architect, Data Engineer and AI expertODSC

Sheamus McGovern

Sheamus McGovern is the founder of ODSC (The Open Data Science Conference). He is also a software architect, data engineer, and AI expert. He started his career in finance by building stock and bond trading systems and risk assessment platforms and has worked for numerous financial institutions and quant hedge funds. Over the last decade, Sheamus has consulted with dozens of companies and startups to build leading-edge data-driven applications in finance, healthcare, eCommerce, and venture capital. He holds degrees from Northeastern University, Boston University, Harvard University, and a CQF in Quantitative Finance.

Data Wrangling with Python(Bootcamp)

VP of EngineeringNormal Computing

Daniel Gerlanc

Daniel Gerlanc has worked as a data scientist for more than decade and been writing software for nearly 20 years. He frequently teaches live trainings on oreilly.com and is the author of the video course Programming with Data: Python and Pandas. He has coauthored several open source R packages, published in peer-reviewed journals, and is a graduate of Williams College.

Programming with Data: Python and Pandas(Bootcamp)

Software Engineer, Data Scientist, Chief Information Security Office, Author of Hands-On Data Analysis with PandasBloomberg

Stefanie Molin

Stefanie Molin is a software engineer and data scientist at Bloomberg in New York City, where she tackles tough problems in information security, particularly those revolving around data wrangling/visualization, building tools for gathering data, and knowledge sharing. She is also the author of “Hands-On Data Analysis with Pandas,” which is currently in its second edition. She holds a bachelor’s of science degree in operations research from Columbia University’s Fu Foundation School of Engineering and Applied Science, as well as a master’s degree in computer science, with a specialization in machine learning, from Georgia Tech. In her free time, she enjoys traveling the world, inventing new recipes, and learning new languages spoken among both people and computers.

Data Morph: A Cautionary Tale of Summary Statistics(Talk)

VP of Research and DevelopmentSumerSports

Eric Eager, PhD

Eric Eager is the VP of Research and Development at SumerSports, a football analytics startup founded by Paul Tudor Jones and Jack Jones. Prior to joining Sumer, he held similar roles at Pro Football Focus, and is responsible for many of the insights that have grown the game of American football to this day. Eric holds a PhD in Mathematical Biology from the University of Nebraska, and has taught at Wharton, DataCamp and the University of Wisconsin – La Crosse, publishing over 25 academic papers during his career.

Using Data Science to Better Evaluate American Football Players(Talk)

Chief Data ScientistNebula.io

Dr. Jon Krohn

Jon Krohn is Co-Founder and Chief Data Scientist at the machine learning company Nebula. He authored the book Deep Learning Illustrated, an instant #1 bestseller that was translated into seven languages. He is also the host of SuperDataScience, the data science industry’s most listened-to podcast. Jon is renowned for his compelling lectures, which he offers at leading universities and conferences, as well as via his award-winning YouTube channel. He holds a PhD from Oxford and has been publishing on machine learning in prominent academic journals since 2010.

 

Associate Professor of AnalyticsInstitute for Advanced Analytics at NC State University

Aric LaBarr, PhD

A Teaching Associate Professor in the Institute for Advanced Analytics, Dr. Aric LaBarr is passionate about helping people solve challenges using their data. There he helps design the innovative program to prepare a modern workforce to wisely communicate and handle a data-driven future at the nation’s first Master of Science in Analytics degree program. He teaches courses in predictive modeling, forecasting, simulation, financial analytics, and risk management. Previously, he was Director and Senior Scientist at Elder Research, where he mentored and led a team of data scientists and software engineers. As director of the Raleigh, NC office he worked closely with clients and partners to solve problems in the fields of banking, consumer product goods, healthcare, and government. Dr. LaBarr holds a B.S. in economics, as well as a B.S., M.S., and Ph.D. in statistics — all from NC State University.

VP of LabsThomson Reuters

Leonardo De Marchi

Leonardo De Marchi holds a Master in Artificial intelligence and has worked as a Data Scientist in the sports world, with clients such as the New York Knicks. He now works in Thomson Reuters as VP of Labs, and also provides consultancy and training for small and large companies. His previous experience includes being Head of Data Science and Analytics in Bumble, the largest dating site with over 500 million users, heading the team through acquisition and an IPO.

Generative AI(Training)

Manager of Applied ResearchThomson Reuters Labs

Laura Skylaki, PhD

Laura Skylaki is a Manager of Applied Research in Thomson Reuters Labs, where she leads advanced machine learning projects in the domain of Legal and Tax AI.With a career spanning more than a decade at the intersection of research and practical application, she has contributed technical expertise in diverse fields such as bioinformatics and stem cell biology, image processing and natural language processing. She holds a doctorate in stem cell bioinformatics from the University of Edinburgh, UK, and has been publishing on machine learning applications in leading academic journals since 2012.

NLP Fundamentals(Training)

Python & Data Science Corporate Trainer | ConsultantMetaSnake

Matt Harrison

Matt Harrison has been using Python since 2000. He runs MetaSnake, a Python and Data Science consultancy and corporate training shop. In the past, he has worked across the domains of search, build management and testing, business intelligence, and storage.

He has presented and taught tutorials at conferences such as Strata, SciPy, SCALE, PyCON, and OSCON as well as local user conferences.

Co-Founder | Co-author, Advanced Analytics with PySparkLooppanel | O'Reilly Media

Akash Tandon

Akash Tandon is co-founder and CTO of Looppanel where he builds software to help product teams record, store and analyze user research data. He is a co-author of Advanced Analytics with PySpark, published by O’Reilly. Previously, Akash worked as a senior data engineer at Atlan, SocialCops and RedCarpet where he built data infrastructure for enterprise, government and finance use-cases. He has also been a participant and mentor in the Google Summer of Code program with the R Project for Statistical Computing.

From Big Data to NLP insights: Getting started with PySpark and Spark NLP(Workshop)

Director of Data ScienceGartner

Julia Lintern

Julia Lintern currently works as a Director of Data Science at Gartner. Previously, she worked as a Data Scientist for the New York Times. Julia began her career as a structures engineer designing repairs for damaged aircraft. Julia holds an MA in applied math from Hunter College, where she focused on visualizations of various numerical methods and discovered a deep appreciation for the combination of mathematics and visualizations. During certain seasons of her career, she has also worked on creative side projects such as Lia Lintern, her own fashion label.

Introduction to Machine Learning(Bootcamp)

Chief Data & A.I. OfficerFanatics Collectibles

Jeffrey Yau, PhD

Jeffrey Yau is currently Chief Data & A.I. Officer at Fanatics Collectibles. Most recently, he served as Global Head of Data Science, Analytics & Engineering at Amazon Music where he oversaw multiple teams who developed both insights-packed analytics and end-to-end statistical and machine learning systems. Prior to Amazon, Jeffrey worked at WalmartLabs as the VP of Data Science & Engineering where he led the team responsible for powering Walmart store mobile apps and the entire store finance system. Further, his team created end-to-end machine learning systems for key business initiatives and had a multi-billion dollar impact annually on Walmart U.S.

Over the years, he has held various senior level positions in quantitative finance at global investment management firm AllianceBernstein, consulting firm Data Science at Silicon Valley Data Science, multinational financial services company Charles Schwab Corporation, and the world’s leading professional services firm KPMG. He began his career as a tenure-track Assistant Professor of Economics at Virginia Tech, and he was an adjunct professor at UC Berkeley, Cornell, and NYU, teaching machine learning and advanced statistical modeling for finance and business.

PrincipalNumeristical

Brian Lucena, PhD

Brian Lucena is Principal at Numeristical, where he advises companies of all sizes on how to apply modern machine learning techniques to solve real-world problems with data. He is the creator of three Python packages: StructureBoost, ML-Insights, and SplineCalib. In previous roles he has served as Principal Data Scientist at Clover Health, Senior VP of Analytics at PCCI, and Chief Mathematician at Guardian Analytics. He has taught at numerous institutions including UC-Berkeley, Brown, USF, and the Metis Data Science Bootcamp.

Uncertainty Quantification: Approaches and Methods(Training)

Chief EvangelistHugging Face

Julien Simon

Julien is currently Chief Evangelist at Hugging Face. He’s recently spent 6 years at Amazon Web Services where he was the Global Technical Evangelist for AI & Machine Learning. Prior to joining AWS, Julien served for 10 years as CTO/VP Engineering in large-scale startups.

Hyper-productive NLP with Hugging Face Transformers(Workshop)

Co-founder and CDOYData

Fabiana Clemente

Fabiana Clemente is the co-founder and CDO of YData, combining Data Understanding, Causality, and Privacy as her main fields of work and research, with the mission to make data actionable for organizations. Passionate for data, Fabiana has vast experience leading data science teams in startups and multinational companies. Host of “When Machine Learning meets privacy” podcast and a guest speaker at Datacast and Privacy Please, the previous WebSummit speaker, was recently awarded “Founder of the Year” by the South Europe Startup Awards.

Missing Data: A Synthetic Data Approach for Missing Data Imputation(Workshop)

Senior Software Engineer | Software EngineerAlteryx Innovation Labs | Hugging Face

Freddy Boulton

Freddy Boulton started his career as a data scientist for Nielsen where he built predictive models of television viewing behavior to make television ratings more accurate. This gave him a first hand-view of one of the biggest challenges faced by industry data scientists – being able to easily communicate and share machine learning models with stakeholders. He is currently solving that problem by working on Gradio, an open-source python library that lets data scientists create fully interactive demos of machine learning models with just a few lines of code.

A Practical Tutorial on Building Machine Learning Demos with Gradio(Workshop)

Associate Professor of Mathematics and Data ScienceBentley University

Noah Giansiracusa, PhD

Noah Giansiracusa (PhD in math from Brown University) is a tenured associate professor of mathematics and data science at Bentley University, a business school near Boston. His research interests range from algebraic geometry to machine learning to empirical legal studies. After publishing the book How Algorithms Create and Prevent Fake News in July 2021, Noah has gotten more involved in public writing and policy discussions concerning data-driven algorithms and their role in society. He’s written op-eds for Barron’s, Boston Globe, Wired, Slate, and Fast Company and is currently working on a second book, Robin Hood Math: How to Fight Back When the World Treats You Like a Number, with a Foreword by Nobel Prize-winning economist Paul Romer.

Deepfakes: How’re They Made, Detected, and How They Impact Society(Tutorial)

 

Senior InstructorWestern Governors University

Leticia Rabor

Leticia Rabor worked as a professional Software and Systems Engineer in the Defense and Aerospace industries for over 13 years. She has designed, implemented, and tested various image formation subsystem components for ground system development.

She has also worked in Academia since 2012. Her roles include program chair and instructor. Leticia is currently an adjunct professor at Fort Hays State University and a full-time senior instructor at Western Governor University.

She has a Master of Science degree in Information Assurance and a bachelor’s degree in Computer Science. Her yearly activities include conducting an external one hour workshop in both mobile development and JavaScript at the Geek Girls Tech Conference at University of San Diego (USD). She participated as one of the panel experts for “The future of mobile development” at the Geek Girls Tech Conference in San Diego, California. She is a member of the Women Who Code (WWC) and a recipient for “Faculty of the Year” award in 2017.

Hands-On Workshop: Competency-Based Experience Featuring Python & Predictive Modeling(Bootcamp)

Instructor, Data AnalyticsWestern Governors University

Daniel J. Smith, PhD

Daniel J. Smith, PhD, MBA has worked at WGU for 3 years. He has experience in several industries in analytics through the director level in insurance, health care administration, and higher education. His experience is in AI and machine learning applications in industry using R, Tableau, SAS and Python. He enjoys working with students to improve their analytical, programming, and communication skills.

Hands-On Workshop: Competency-Based Experience Featuring Python & Predictive Modeling(Bootcamp)

Sr. Data ScientistInst. for Experiential AI at Northeastern Univ. | NLP Expert and Instructor

Benjamin Batorsky, PhD

Ben is a Senior Data Scientist at the Institute for Experiential AI at Northeastern University. He obtained his Masters in Public Health (MPH) from Johns Hopkins and his PhD in Policy Analysis from the Pardee RAND Graduate School. Since 2014, he has been working in data science for government, academia and the private sector. His major focus has been on Natural Language Processing (NLP) technology and applications. Throughout his career, he has pursued opportunities to contribute to the larger data science community. He has presented his work at conferences, published articles, taught courses in data science and NLP, and is co-organizer of the Boston chapter of PyData. He also contributes to volunteer projects applying data science tools for public good.


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CYBER MONDAY - 6 month Premium on AI+ Platform
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1 year Premium Subscription on AI+
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Access to ODSC Talks & Workshop Sessions (Virtual)
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Access to Pre-Conference live or on-demand training
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Access to Career Expo (Thur)
Access to Training Sessions (20 Sessions) | (Tue-Thur)
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Access to ODSC Talks & Workshop Sessions (Virtual)
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Access to Pre-Conference live or on-demand training
Access to ALL Virtual Conference recordings
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Access to ODSC Talks & Workshop Sessions (Tue-Thur)
Access to Career Expo (Thur)
Access to Training Sessions (20 Sessions) | (Tue-Thur)
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Access to Demo Talks (Wed-Thur)
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CYBER MONDAY - 6 month Premium on AI+ Platform
Access to Virtual Bootcamp Fundamentals (Monday)
Access to Virtual Training Sessions (12 Sessions)
Access to ODSC Talks & Workshop Sessions (Virtual)
Access to Virtual Events
Access to Pre-Conference live or on-demand training
Access to ALL Virtual Conference recordings
1 year Premium Subscription on AI+
Access to ODSC Talks & Workshop Sessions (Tue-Thur)
Access to Career Expo (Thur)
Access to Training Sessions (20 Sessions) | (Tue-Thur)
Access to Keynotes, Talks & Workshops (Wed-Thur)
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Access to Demo Talks (Wed-Thur)
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CYBER MONDAY - 6 month Premium on AI+ Platform
Access to Virtual Bootcamp Fundamentals (Monday)
Access to Virtual Training Sessions (12 Sessions)
Access to ODSC Talks & Workshop Sessions (Virtual)
Access to Virtual Events
Access to Pre-Conference live or on-demand training
Access to ALL Virtual Conference recordings
1 year Premium Subscription on AI+
Access to ODSC Talks & Workshop Sessions (Tue-Thur)
Access to Career Expo (Thur)
Access to Training Sessions (20 Sessions) | (Tue-Thur)
Access to Keynotes, Talks & Workshops (Wed-Thur)
Access to AI Solution Showcase Expo Area (Tue-Wed)
Access to Demo Talks (Wed-Thur)
Access to Networking Receptions, Meet the Experts, Dinner with DS and more
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CYBER MONDAY - 6 month Premium on AI+ Platform
Access to Virtual Bootcamp Fundamentals (Monday)
Access to Virtual Training Sessions (12 Sessions)
Access to ODSC Talks & Workshop Sessions (Virtual)
Access to Virtual Events
Access to Pre-Conference live or on-demand training
Access to ALL Virtual Conference recordings
1 year Premium Subscription on AI+
Access to ODSC Talks & Workshop Sessions (Tue-Thur)
Access to Career Expo (Thur)
Access to Training Sessions (20 Sessions) | (Tue-Thur)
Access to Keynotes, Talks & Workshops (Wed-Thur)
Access to AI Solution Showcase Expo Area (Tue-Wed)
Access to Demo Talks (Wed-Thur)
Access to Networking Receptions, Meet the Experts, Dinner with DS and more
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* 5 Pre-Bootcamp live tutorials on Data Literacy, AI Literacy, Programming with Python, and SQL (Value $796) Check more info here.

Hotel DEAL

The Westin Copley Place

10 Huntington Avenue,  Boston, MA 02116

For a limited time, hotel rooms start from just $369 + taxes and fees per night. 

Book NOW here.

Pay by invoice/purchase order

You are able to buy your ticket via Invoice/Purchase Order (PO).

Please submit your request to receive a Purchase Order HERE.

Group Discounts

If you have a group of 3 to 13 or more, please email us at info@odsc.com to enquire about additional discounts. Please mention the size of your group and the types of passes required.

Donate to our Fundraise

For this year’s event, ODSC will double donations and fundraising to Support of Ukraine. Please support Ukraine, and its refugees and help those who stayed fighting for their country. All donations would be sent to the Come Back Alive Foundation.

Please donate what you can via our registration. No purchase is necessary to donate and 100% of funds raised are donated.

CONTINUOUS LEARNING ON-DEMAND

With Each ODSC Bootcamp pass, you get a 1 year Ai+ on-demand hands-on training subscription (Value $700)

Ai+ is the only hands-on training platform solely developed for AI practitioners. Keep training with the top names in the industry. Free for 1 year with an ODSC East Bootcamp pass.

Learn More

WHO SHOULD ATTEND

Who Should Attend

Beginners

  • Beginners pursuing data science careers

  • Those trying to decide on the right data science path

  • Business Analysts and Data Analysts seeking new skills

Intermediates

  • Data Scientists

  • Data Engineers

  • ML Engineers

  • Software Engineers

Citizens

  • Citizen Data Scientists

  • Data Wranglers

  • Data Science 4 Good

  • Data Journalists 

Companies Represented at ODSC Bootcamps

We’re Proud to Have the Best and Brightest in Attendance

Learn More About Our Program



NEED MORE REASONS TO SIGN-UP?

 Learn Fundamentals

Prep for your immersive training by learning core fundamentals, including:

  • Fundamentals of Python Programming

  • Data Analysis in Python

  • Introduction to Statistics for Data Science

  • Fundamental Analytics for Data Engineering

Learn Frameworks & Tools

Get hands-on experience with in-demand data science tools and frameworks, including:

  • Python, Jupyter Notebooks

  • R programming, Julia, Scala, Stan

  • Apache Spark, MLlib, Streaming

  • Tensorflow, MXNet, Caffe, CNTK

  • Scikit-learn, Theano, Shogun, Pylearn2

Learn Core Topics

Get hands-on experience in the most important data science topics with over 40 beginner to intermediate sessions to choose from, including

  • Deep Learning

  • Reinforcement Learning and Deep Reinforcement Learning

  • Machine Learning

  • Transfer Learning

  • Natural Language Processing

  • Text Analytics

  • Data Visualization

  • Data Modeling and Data Wrangling

  Build your Network

A career in data science opens up the possibility of rewarding and exciting work. Build your network and help grow your career

  • Learn from and connect with world-leading data science experts

  • Stop by our Career Expo and meet top hiring companies like Google, DataRobot, and dozens of others

  • Join our various networking events, such as Meet the Speakers, Meet the Experts, Dinner with Data Scientists; plus other networking opportunities

  • Network with hundreds of data science attendees to learn what it’s like to be a data scientist

ODSC Newsletter

Stay current with the latest news and updates in open source data science. In addition, we’ll inform you about our many upcoming Virtual and in person events in Boston, NYC, Sao Paulo, San Francisco, and London. And keep a lookout for special discount codes, only available to our newsletter subscribers!


Participate at ODSC East 2024

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As part of the global data science community we value inclusivity, diversity,  and fairness in the pursuit of knowledge and learning. We seek to deliver a conference agenda, speaker program, and attendee participation that moves the global data science community forward with these shared goals. Learn more on our code of conduct, speaker submissions, or speaker committee pages.

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Open Data Science
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