Early Bird Offer | Register now

Boston Hynes Convention Center | In-Person & Virtual

May 8th – 11th

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 2023 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 March to April 2023 LIVE PRE-BOOTCAMP COURSES to learn core concepts from top instructors.  These are held virtually. Currently scheduled training sessions include:

  • March 2, 2023: ODSC East Bootcamp Warmup: Data Primer Course
  • March 14,  2023: ODSC East Bootcamp Warmup: SQL Primer Course
  • April 6, 2023: ODSC East Bootcamp Warmup: Programming Primer Course with Python
  • April 26, 2023: ODSC East Bootcamp Warmup: AI Primer Course

Each course is $199 (total $796) Free to Mini-Bootcamp, VIP registrants, and training passes (Gold pass or above)

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+

Schedule: April, and May 2023

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:

  • An Introduction to Data Wrangling with SQL
  • Programming with Data: Python and Pandas
  • Introduction to Machine Learning
  • Introduction to Math for Data Science
  • Introduction to Data Visualization

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:

  • Introduction to Deep Learning with TensorFlow & Keras
  • Introduction to Deep Learning with PyTorch
  • Introduction to ML using scikit-learn
  • Introduction to NLP
  • Hugging Face Transformers
  • Idiomatic Pandas
  • Introduction to Large-scale Analytics with PySpark
  • A Practical Tutorial on Building Machine Learning Demos with Gradio
  • Over 60 sessions to choose from

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.

  • Advanced Fraud Modeling & Anomaly Detection with Python & R
  • Spark NLP 
  • Machine Learning with XGBoost
  • Advanced Gradient Boosting: Probabilistic Regression and Categorical Structure
  • Modern NLP
  • Transfer Learning in NLP
  • Generate text to image
  • Over 40 sessions to choose from

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  – LIVE and On-Demand

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. Past instructors include:
Founder and CEOODSC

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.

An Introduction to Data Wrangling with SQL(Bootcamp)

Sr. Director - Data Science & ML EngineeringAmpersand

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)

Data Science InstructorMetis

Julia Lintern

Julia Lintern currently works as an instructor for the Metis Data Science Flex Program. 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)

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.

Mathematics for Data Science(Bootcamp)

Chief Data ScientistNebula.io | Author of Deep Learning Illustrated

Dr. Jon Krohn

Jon Krohn is Chief Data Scientist at the machine learning company untapt. He authored the book Deep Learning Illustrated, which was released by Addison-Wesley in 2019 and became an instant #1 bestseller that was translated into six languages. Jon is renowned for his compelling lectures, which he offers in-person at Columbia University, New York University, and the NYC Data Science Academy, as well as online via O’Reilly, YouTube, and his A4N podcast on A.I. news. Jon holds a doctorate in neuroscience from Oxford and has been publishing on machine learning in leading academic journals since 2010.

Deep Learning with PyTorch and TensorFlow(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.

Advanced Fraud Modeling & Anomaly Detection with Python & R(Training)

Apache Spark Expert, Data Science Instructor and Consultant

Adam Breindel

Adam Breindel consults and teaches widely on Apache Spark and other technologies. Adam’s experience includes work with banks on neural-net fraud detection, streaming analytics, cluster management code, and web apps, as well as development at a variety of startup and established companies in the travel, productivity, and entertainment industries. He is excited by the way that Spark and other modern big-data tech remove so many old obstacles to system design and make it possible to explore new categories of interesting, fun, hard problems.

VP of LabsThomson Reuters | Author of Hands-On Neural Networks)

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.

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.

Introduction to Large-scale Analytics with PySpark(Workshop)

Data Scientist | Bloomberg | Author of Hands-On Data Analysis with Pandas

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.

Beyond the Basics: Data Visualization in Python(Training)

Instructor, Data ScientistData Dan

Daniel Whitenack, PhD

Daniel Whitenack (aka Data Dan) is a PhD trained data scientist who has been developing artificial intelligence applications in the real world for over 10 years. He knows how to see beyond the hype of AI and machine learning to build systems that create business value, and he has taught these skills to 1000’s of developers, data scientists, and engineers all around the world. Now with the AI Classroom event, Data Dan is bringing this knowledge to an live, online learning environment so that you can level up your career from anywhere!

Advanced NLP with TensorFlow and PyTorch: LSTMs, Self-attention and Transformers(Full-Day Training)

State of the art AI Methods with TensorFlow: Transfer Learning, RL and GANs(Training)

Brian Lucena
PrincipalNumeristical | Creator of StructureBoost, ML-Insights, and SplineCalib

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.

Advanced Gradient Boosting (I): Fundamentals, Interpretability, and Categorical Structure(Training)

Advanced Gradient Boosting (II): Calibration, Probabilistic Regression and Conformal Prediction(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.

 

Senior Software EngineerAlteryx Innovation Labs

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)


EARLY BIRD OFFER | SAVE 60%


Choose your Pass

Virtual Bootcamp Orientation Sessions for in-person and virtual attendees 

Monday | Virtual Mini-Bootcamp Training Sessions 

Premium 1-Year Subscription to AI+ Training (value =  $700)

Access to All Virtual Sessions & Events (Tue-Thu)

ODSC Keynotes & Talks (Wed-Thu)

4 Prep-Bootcamp live tutorials on Data Literacy, AI Literacy, Programming, and SQL (Value $796)

On-demand Access to All Conference recordings 

Access to AI Solution Showcase Expo Area (Wed-Thu) 

Access to ODSC In-Person Workshops & Training Sessions (Tue&Thu) 

Access to In-person Mini-Bootcamp Training Sessions

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Virtual Mini-Bootcamp 

$549 

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Mini-Bootcamp 

$1029

Door price - $2573 - SAVE $1544 

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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!


Open Data Science

 

 

 

Open Data Science
One Broadway
Cambridge, MA 02142
info@odsc.com

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