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Boston Hynes Convention Center | In-Person & Virtual 2024

BOSTON

2024

HYNES CONVENTION CENTER AND VIRTUALLY

UNLOCK YOUR FULL POTENTIAL

Kick-start your career in data science in 4 immersive days plus pre-event training with this data science bootcamp. Get the skills you need, taught by world-renowned experts.
ODSC 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

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

BUILD YOUR SKILLS AND BUILD YOUR NETWORK

Get Prepped

With Prerequisites training, you can start learning the fundamentals. Learn programming, SQL, and basic math skills.

 3 or 4-day Immersive

From May 8 to 11, join our 4-day live immersive mini data science bootcamp. Get hands-on experience in machine learning and deep learning.

Continue Learning

After immersive training in the data science Bootcamp, you will be ideally positioned to continue learning. With Ai+ on-demand trainings, you can learn at your own pace. 

Get Help 

Each attendee gets a certificate of completion and access to office hours. Jobseeker will be featured in our Ai+ Career job portal with 40+ hiring companies. 

WHAT YOU WILL LEARN

PROGRAMMING

Python,  R, Jupyter Notebooks, Julia

DATA WRANGLING

SQL, Spark, Pandas, Tableau

MACHINE LEARNING

Supervised, Unsupervised, & Reinforcement ML

DEEP LEARNING

Neural Networks, GANS, CNN, LSTM

NLP

Transformers, BERT, Sentiment Analysis

FRAMEWORKS

PyTorch and TensorFlow Keras, scikit-learn

TOOLS

Airflow, MLFlow, MLOPs, Spark, Kubeflow

DATA VISUALIZATION

D3.JS, Plotly, MatPlotLib, Tableau

 SPECIALIZATION TRACKS

  • Machine Learning with Python

    • Mathematics for Data Science
    • Programming with Data: Python and Pandas
    • Hands-on Machine Learning with scikit-learn
    • Machine Learning at Scale using Apache Spark
    • Supervised Learning for Missing Data
    • Causal Inference for Data Science
    • Meta-learning for Machine Learning
    • Cybersecurity in ML
    • Reinforcement Learning with TF-Agents
    • Reinforcement Learning for Human Language

  • Deep Learning

    • Intro to Neural Networks for Deep Learning
    • PyTorch Hands-on Training
    • Deep Reinforcement Learning
    • Deep Learning with TensorFlow
    • Recommendation Systems with Deep Learning
    • Deep Learning with Keras
    • TFF (TensorFlow Federated Learning)
    • How to Identify Deepfakes
    • Deep Learning CNNs and GANs

  • Data Engineering / MLOps

    • Mathematics for Data Science
    • SQL for Data Science
    • Deploying ML Pipelines with Open-data
    • Kubeflow & Kubernetes
    • Auto Machine Learning
    • Debugging Machine Learning
    • Introducing Flyte
    • Reproducible Data Science in Pachyderm
    • Data Science Best Practices: Continuous Delivery for Machine Learning

  • NLP

    • Introduction to NLP and Topic Modeling
    • Transfer Learning in NLP
    • Training NLP Models with Deep Reinforcement Learning
    • State-of-the-Art NLP in TensorFlow and PyTorch
    • Active Learning for Data Labeling
    • NLP with LSTMs (Deep learning)
    • Using HuggingFace Transformers for NLP

  • Data Analytics

    • Statistics and Probability Distribution
    • Big Data using Spark
    • Streaming Analytics
    • Augmented Analytics
    • Decision Analytics
    • Graph Analytics
    • No-Sql
    • In-memory computing

Live sessions include, but are not limited to, the ones listed below.

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 virtually. Currently, training sessions include:

  • ODSC East Bootcamp Warmup: Data Primer Course
  • ODSC East Bootcamp Warmup: SQL Primer Course
  • ODSC East Bootcamp Warmup: Programming Primer Course with Python
  • ODSC East Bootcamp Warmup: AI Primer Course

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

Additional Live training course available at 50% discount to ticket holders.

Bootcamp Orientation

To help our Bootcamp students we will be offering virtual Bootcamp Orientation in April and May 2023 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 (May 8th) (Virtual Only)

These foundation courses include training sessions, workshops, and tutorials. The full schedule coming soon. Tentative topics include:

Bootcamp Day 1 : Bootcamp Kickoff Dinner

Time: Monday, 8th from 6 PM to 8 PM EST 

Location: Cornwall’s 

Join your fellow Mini-Bootcamp, VIP attendees for a pre-conference dinner on May 8th. Get to know the data scientists, business professionals, and AI practitioners who will travel this learning path with you.

* Space is limited to up to 20 attendees and each attendee pays for themselves. * Exclusive to ODSC Mini-Bootcamp, VIP Pass holders, but registration is required. Register here.

Bootcamp Day 2 & 3 : Beginner to Intermediate Level (May 9th - 10th) (Virtual/In-Person)

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

Bootcamp Day 4: Beginner-Intermediate-Advanced Level (May 11th) (Virtual/In-Person)

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

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 Mini-Bootcamp Pass. Courses hosted in March and April 2023 On-Demand now

learn more

The 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 instructors:
CEO , 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.

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 | Author of Deep Learning Illustrated

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.

Deep Learning with PyTorch and TensorFlow(Training)

NLP with GPT-4 and other LLMs: From Training to Deployment with Hugging Face and PyTorch Lightning(Training)

 

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.

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.

Machine Learning with XGBoost(Workshop)

Idiomatic Pandas(Workshop)

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.

Bagging to BERT – A Tour of Applied NLP(Workshop)


Online Registration Ends In

Mini-Bootcamp

Save 20% on Full Price

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Door Price
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 (Wed-Thur)
Access to Demo Talks (Wed-Thur)
Access to Networking Receptions, Meet the Experts, Dinner with DS and more
Virtual Mini-Bootcamp
$699
Virtual Bootcamp Fundamentals
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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Mini-Bootcamp (In-person)
$1,749
Bootcamp Fundamentals and AI+ Premium Access (Mon-Thu)
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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 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 (Wed-Thur)
Access to Demo Talks (Wed-Thur)
Access to Networking Receptions, Meet the Experts, Dinner with DS and more
Virtual Mini-Bootcamp
$874
Virtual Bootcamp Fundamentals
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 (Wed-Thur)
Access to Demo Talks (Wed-Thur)
Access to Networking Receptions, Meet the Experts, Dinner with DS and more
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Mini-Bootcamp (In-person)
$1,941
Bootcamp Fundamentals and AI+ Premium Access (Mon-Thu)
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 (Wed-Thur)
Access to Demo Talks (Wed-Thur)
Access to Networking Receptions, Meet the Experts, Dinner with DS and more
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* 4 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.

WHAT TO EXPECT

Please visit our What to Expect page 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.

PAST MINI-BOOTCAMP SCHEDULE

PRE-BOOTCAMP PRIMER COURSES

CLICK TO VIEW ON-DAMAND

Pre-Bootcamp: Data Primer Course

CLICK TO VIEW ON-DAMAND

Pre-Bootcamp: Data Wrangling With SQL Course

CLICK TO VIEW ON-DAMAND

Pre-Bootcamp: Programming With Python Primer Course

APRIL 26th, 2023

Pre-Bootcamp: AI & Machine Learning Primer Course

BOOTCAMP ORIENTATION  

APRIL 19th, 2023

In-Person Attendes Bootcamp Orientation

MAY 2nd, 2023

Virtual Attendes Bootcamp Orientation

MAY 8: DAY 1 – BOOTCAMP CORE CURRICULUM  (ONLINE ONLY) 

Sheamus McGovern, CEO and Data Engineer

An Introduction to Data Wrangling with SQL

Daniel Gerlanc - Sr. Director - Data Science & ML Engineering at Ampersand

Programming with Data: Python and Pandas

Julia Lintern - Data Science Instructor at Metis

Introduction to Machine Learning

Eric Eager, PhD - VP of Research and Development at SumerSports

Mathematics for Data Science

MAY 9: DAY 2 – CHOOSE FROM THE FOLLOWING: 

Jeffrey Yau, PhD - Chief Data & A.I. Officer at Fanatics Collectibles | MACHINE LEARNING

In-Person WORKSHOP : Fundamental Statistical and Machine Learning Models for Time Series Analysis

Julien Simon - Chief Evangelist at Hugging Face | NLP

In-Person WORKSHOP : Hyper-productive NLP with Hugging Face Transformers

Matt Harrison - Python & Data Science Corporate Trainer, Consultant at MetaSnake | MACHINE LEARNING

In-Person WORKSHOP : Idiomatic Pandas

Freddy Boulton - Senior Software Engineer at Alteryx Innovation Labs | MACHINE LEARNING

In-Person WORKSHOP : A Practical Tutorial on Building Machine Learning Demos with Gradio

Florian Jacta - Customer Success Manager at Taipy | Albert Vu - - Customer Success Manager at Taipy, Quantitative Analyst at MSTS | MACHINE LEARNING

In-Person WORKSHOP : How to Build Stunning Data Science Web Applications in Python – Taipy Tutorial

Noah Giansiracusa, PhD - Assoc. Prof. of Mathematics and DS at Bentley University | DEEP LEARNING

In-Person TUTORIAL : Deepfakes: How’re They Made, Detected, and How They Impact Society

Thomas J. Fan - Staff Software Engineer at Quansight Labs | MACHINE LEARNING

In-Person HALF-DAY TRAINING : Introduction to scikit-learn: Machine Learning in Python

Dr. Jon Krohn - Chief Data Scientis at Nebula.io | DEEP LEARNING

In-Person HALF-DAY TRAINING : Deep Learning with PyTorch and TensorFlow 

Pedro Domingos, PhD - Professor Emeritus at University of Washington | MACHINE LEARNING

Virtual KEYNOTE TALK  : Secrets of Successful AI Projects

Eve Psalti - Principal Group Program Manager at Microsoft | NLP

Virtual KEYNOTE TALK : Infuse Generative AI in your apps using Azure OpenAI Service

Nils Reimers - Director of Machine Learning at cohere.ai | NLP

Virtual TALK : Semantic Search

Moran Beladev - Machine Learning Manager – NLP & Computer Vision at Booking.com | RESPONSIBLE AI

Virtual TALK : Leverage Reviews Data for Multi Label Topics Classification in Booking.com

Meg Kurdziolek, PhD - Staff UX Researcher at Intrinsic.ai | RESPONSIBLE AI

Virtual TALK : Interactive Explainable AI

Colleen Molloy Farrelly - Lead Data Scientist/Author Staticlysm LLC/No Starch Press | DATA VISUALIZATION & DATA ANALYSIS

Virtual TALK : The Shape of Data: An Overview of Geometry in Data Science

Bill Franks - Director of the Center for Statistics and Analytical Research at Kennesaw State University | DATA ENGINEERING & BIG DATA

Virtual BUSINESS TALK : Winning The Room: Creating And Delivering An Effective Data-Driven Presentation

Akash Tandon - Co-author of Advanced Analytics with PySpark at O'Reilly Media | NLP

Virtual WORKSHOP : From Big Data to NLP insights: Getting started with PySpark and Spark NLP

Leonardo De Marchi - VP of Labs | Laura Skylaki, PhD - Manager of Applied Research | Thomson Reuters | NLP

Virtual FULL-DAY TRAINING : NLP Fundamentals

MAY 10: DAY 3 – CHOOSE FROM THE FOLLOWING: 

Hagay Lupesko - VP Engineering at MosaicML | Jay Jackson - VP AI/ML at Oracle | MLOps

In-person KEYNOTE TALK : Unlocking the Power of Large Language Models: Why Owning Your Own Model is Critical—and Within Reach

Allen Downey, PhD - Staff Producer at Brilliant.org | DEEP LEARNING

In-Person TALK : Causation, Collision, and Confusion: Avoiding the most dangerous error in statistics

Thomas J. Fan - Staff Software Engineer at Quansight Labs | MACHINE LEARNING

In-Person HALF-DAY TRAINING : Intermediate Machine Learning with scikit-learn: Pandas Interoperability, Categorical Data, Parameter Tuning, and Model Evaluation

Daniel J. Smith, PhD - Instructor | Leticia Rabor - Senior Instructor | WGU | MACHINE LEARNING

In-Person WORKSHOP : Learn at YOUR Pace: A Hands-On, Competency-Based Experience Featuring Python & Predictive Modeling

Matt Harrison - Python & Data Science Corporate Trainer, Consultant at MetaSnake | MACHINE LEARNING

In-Person WORKSHOP : Machine Learning with XGBoost

Daphne Koller, PhD - CEO and Founder at insitro | NLP

Virtual KEYNOTE TALK : Machine Learning for Identifying Translatable Biomarkers and Targets

Jeff Clune, PhD - Senior Research Advisor at DeepMind | DEEP LEARNING

Virtual TALK : Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos

Iryna Gurevych - Full Professor at Technical University of Darmstadt | NLP

Virtual TALK: SQuARE: Towards Multi-Domain and Few-Shot Collaborating Question Answering Agents

Panos Alexopoulos, PhD - Head of Ontology at Textkernel BV | NLP

Virtual WORKSHOP : Mastering Adversarial Evaluation for NLP: A Practical Workshop

Andrew Zaldivar -Senior Developer Relations Engineer | Mahima Pushkarna - Senior User Experience Designer | Google | RESPONSIBLE AI

Virtual TUTORIAL: The Data Cards Playbook: A Toolkit for Transparency in Dataset Documentation

Rajeev Prabhakar - Software Engineer at Lyft | RESPONSIBLE AI

Virtual TUTORIAL: Being Well Informed: Building a ML Model Observability Pipeline

MAY 11: DAY 4 – CHOOSE FROM THE FOLLOWING: 

Raluca Ada Popa, PhD Associate Professor | Co-Founder Berkeley | PreVeil | Opaque Systems | RESPONSIBLE AI

In-Person KEYNOTE TALK : Confidential Data Computing and Collaboration for Data Scientists

Nick Singh - Co-Author of Ace The Data Science Interview

In-Person CAREER TALK : Ace the Data Job Hunt

Adam Ross Nelson - Data Scientist + Career Coach Up Level Data, LLC

In-Person CAREER TALK : For Data’s Rising Stars: How Individual Contributor Data Science Pros Can Amplify Their Impacts

Nick Singh - Co-Author of Ace The Data Science Interview

In-Person CAREER WORKSHOP : Ace the Data Science Interview with Nick Singh

Tejaswini Pedapati - Research Engineer at IBM TJ Watson | MACHINE LEARNING

In-Person TUTORIAL : Introduction to AutoML: Hyperparameter Optimization and Neural Architecture Search

Benjamin Batorsky, PhD - Senior Data Scientist Institute for Experiential AI at Northeastern University | NLP

In-Person WORKSHOP : Bagging to BERT – A Tour of Applied NLP

Fabiana Martins Clemente - Co-Founder, Chief Data & Product Officer at YData | MACHINE LEARNING

In-Person WORKSHOP : Hands-on Data-Centric AI: Data preparation tuning – why and how?

Alexandra Ebert -Chair of the IEEE Synthetic Data IC Expert Group | ML SAFETY AND SECURITY

In-Person TUTORIAL : When Privacy Meets AI – Your Kick-Start Guide to Machine Learning with Synthetic Data

Anna Jung - Sr. ML Open Source Engineer at VMware | MLOps

Virtual CAREER TALK : Do You Know About The People Behind The Tools?

Vatsala Sarathy - Managing Director, Technology, Finance, & Operations at Stanford Graduate School of Business | DATA ENGINEERING & BIG DATA

Virtual CAREER TALK : Data-curiosity: How to Create and Nurture a Data-durious Culture in your Organization

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.

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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

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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

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