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YOUR FULL POTENTIAL

Kick-start your career in data science in 3 immersive days. 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. 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 ODSC BOOTCAMPS?  
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 October 30th to November 3rd, join our 4-day live immersive Mini-Bootcamp. Get hands-on experience in machine learning and deep learning.

Continue Learning

After immersive training, you will be perfectly positioned to continue learning. WIth Ai+ on-demand training and discounted live training, 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’ll Learn
ACCELERATE FROM ZERO TO MACHINE LEARNING

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, 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

West 2022 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 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.

Pre-Bootcamp On-demand Training

Get started in your learning track with free access to introductory concepts with short, to-the-point and industry driven on-demand courses.

Schedule: Self-paced

Note: only accessible to 3-Day and 4-Day Bootcamp registrants.

Pre-Bootcamp and Live Training Warm up

Get started in your learning track with free access to summer Live Training courses to learn concepts with short, to-the-point, and industry-driven training. The full schedule coming soon and previous sessions included:

More details coming soon!

Note: only accessible to Mini-Bootcamp registrants.

Bootcamp Day 1 : Beginner Level SEssions (October 31st) (Virtual Only)

Live sessions include but are not limited to ones below. Check full half-day and full-day training program at the Training Page.

  • Introduction to Mathematics and Statistics for Machine Learning
  • Introduction to SQL
  • Introduction to Python
  • Introduction to Data Analysis
  • Introduction to ML using scikit-learn

Bootcamp Day 2 & 3 : Beginner to Intermediate Level (November 1st - 2nd) (Virtual/In-Person)

Live sessions include but are not limited to ones below. Check full half-day and full-day training program at the Training Page.

  • Introduction to Intermediate Deep Learning with Tensorflow
  • Deep Learning with Keras
  • Transfer Learning in NLP
  • Introduction to NLP
  • Causal Reinforcement Learning
  • Security and Privacy in ML
  • Kubeflow & Kubernetes
  • Building Machine Learning Pipelines

Bootcamp Day 4: Beginner-Intermediate-Advanced Level ( NOVEMBER 3rd) (Virtual/In-Person)

Live sessions include but are not limited to ones below. Check full half-day and full-day training program at the Training Page.

  • Advanced Deep Learning with Tensorflow
  • Reinforcement Learning for Human Language
  • NLP Word Embeddings
  • Deep Learning for Detecting DeepFakes
  • Machine Learning at Scale using Apache Spark
  • Augmented & Decision Analytics

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 (500+ 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

Bootcamp Office Hours

Office Hours are offered in the following weeks. 

  • Answer questions on the ODSC West Bootcamp program
  • Understand program content
  • Find out what courses are available on Ai+
  • Get help with assignments on Ai+


Choose Your Pass

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)

Prep Training:  live and On-demand (value = $499)

On-demand Access to All Conference recordings 

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

Access to In-person Mini-Bootcamp Training Sessions

Access to In-person Network Receprion & Networking Events

Live

Virtual Mini-Bootcamp

$599

Door price - $1997 - SAVE $1398

4-Days

 

Register | Save 70% 

In-Person 

Mini-Bootcamp

$999

 Door price - $3330 - SAVE $2331 

4-Days

( In-Person Tue-Thu)

Register | Save 70% 

Bootcamp Experience

Virtual Experience

In-Person Experience

Learn from the Best

Our mission is to provide you with applied training from some of the top instructors in the field. Past confirmed ODSC West instructors include:
Training and Enablement EngineerDomino Data Labs

Andrea Lowe, PhD

Andrea Lowe, PhD is the Training and Enablement Engineer at Domino Data Labs where she develops training on topics including overviews of coding in Python, machine learning, Kubernetes, and AWS. She trained over 1000 data scientists and analysts in the last year. She has previously taught courses including Numerical Methods and Data Analytics & Visualization at the University of South Florida and UC Berkeley Extension. Her conference experience includes a deep learning tutorial at PyCon, 2 invited talks, 21 poster presentations, and 4 chair positions.

Practical Reinforcement Learning for Data Scientists(Workshop)

Staff Field Data ScientistDomino Data Labs

Jennifer Dawn Davis, PhD

Jennifer Davis, Ph.D. is a Staff Field Data Scientist at Domino Data Labs, where she empowers clients on complex data science projects. She has completed two postdocs in computational and systems biology, trained at a supercomputing center at the University of Texas, Austin, and worked on hundreds of consulting projects with companies ranging from start-ups to the Fortune 100. Jennifer has previously presented topics at conferences for Association for Computing Machinery on LSTMs and Natural Language Generation and at conferences across the US and in Italy. Jennifer was part of a panel discussion for an IEEE conference on artificial intelligence in biology and medicine. She has practical experience teaching both corporate classes and at the college level. Jennifer enjoys working with clients and helping them achieve their goals.

Large Scale Deep Learning using the High-Performance Computing Library OpenMPI and DeepSpeed(Workshop)

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(Training)

Software EngineerStride Consulting

Boris Paskhaver

Boris Paskhaver is a full-stack web developer based in New York City with experience building apps in React / Redux and Ruby on Rails. His favorite part of programming is the never-ending sense that there’s always something new to master — a secret language feature, a popular design pattern, an emerging library or — most importantly — a different way of looking at a problem.

Getting Started with Pandas for Data Analysis(Half-Day Training)

Data Scientist Meta

Clinton Brownley, PhD

Clinton Brownley, Ph.D., is a data scientist at Meta (formerly Facebook), where he’s responsible for a variety of analytics projects designed to empower employees to do their best work. Prior to this role, he was a data scientist at WhatsApp, working to improve messaging and VoIP calling performance and reliability. Before WhatsApp, he worked on large-scale infrastructure analytics projects to inform hardware acquisition, maintenance, and data center operations decisions at Facebook.

As an avid student and teacher of modern data analysis and visualization techniques, Clinton teaches a graduate course in interactive data visualization for UC Berkeley’s MIDS program, taught a short-term graduate course in regression analysis and machine learning workshop for NYU’s A3SR program, leads an annual machine learning in Python workshop, and is the author of two books, “Foundations for Analytics with Python” and “Multi-objective Decision Analysis”.

Clinton is a past-president of the San Francisco Bay Area Chapter of the American Statistical Association and is a council member for the Section on Practice of the Institute for Operations Research and the Management Sciences. Clinton received degrees from Carnegie Mellon University and American University.

Senior Inventive ScientistAT&T Chief Data Office

Noemi Derzsy, PhD

Noemi Derzsy is a Senior Inventive Scientist at AT&T Chief Data Office within the Data Science and AI Research organization. Her research is centered on understanding and modeling customer behavior and experience through large-scale consumer and network data, using machine learning, network analysis/modeling, Spatio-temporal mining, text mining, and natural language processing techniques.
Prior to joining AT&T, Noemi was a Data Science Fellow at Insight Data Science NYC and a postdoctoral research associate at Social Cognitive Networks Academic Research Center at Rensselaer Polytechnic Institute. She holds a Ph.D. in Physics, MS in Computational Physics, and has a research background in Network Science and Computer Science.
Noemi is also involved in volunteering in the data science community. She is a NASA Datanaut and former organizer of the Data Umbrella meetup group and NYC Women in Machine Learning and Data Science meetup group.

Exploring the Interconnected World: Network/Graph Analysis in Python(Tutorial)

Data Scientist, Software Engineer, Author of Hands-On Data Analysis with PandasBloomberg

Stefanie Molin

Stefanie Molin is a data scientist and software engineer at Bloomberg in New York City, where she tackles tough problems in information security, particularly those revolving around anomaly detection, 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. She is currently pursuing 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)

Managing Partner, Principal Data Scientist | Distinguished FacultyBetaVector | General Assembly

Matt Brems

Matt currently leads instruction for GA’s Data Science Immersive in Washington, D.C. and most enjoys bridging the gap between theoretical statistics and real-world insights. Matt is a recovering politico, having worked as a data scientist for a political consulting firm through the 2016 election. Prior to his work in politics, he earned his Master’s degree in statistics from The Ohio State University. Matt is passionate about making data science more accessible and putting the revolutionary power of machine learning into the hands of as many people as possible. When he isn’t teaching, he’s thinking about how to be a better teacher, falling asleep to Netflix, and/or cuddling with his pug.

Good, Fast, Cheap: How to do Data Science with Missing Data(Half-Day Training)


Registration

Early Bird SALE | Ends in:


Choose Your Pass

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)

Prep Training:  live and On-demand (value = $499)

On-demand Access to All Conference recordings 

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

Access to In-person Mini-Bootcamp Training Sessions

Access to In-person Network Receprion & Networking Events

Live

Virtual Mini-Bootcamp

$599

Door price - $1997 - SAVE $1398

4-Days

 

Register | Save 70% 

In-Person 

Mini-Bootcamp

$999

 Door price - $3330 - SAVE $2331 

4-Days

( In-Person Tue-Thu)

Register | Save 70% 

Free Warmup Tutorials

Get Prepped with AI+ Live training

Paid training: one free included in your pas

Discover Your Bootcamp Learning Path

On-Demand Post Conference Training  
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 West Bootcamp pass.

Learn More

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



 Learn Fundamentals

Prepare for your immersive training by learning core fundamentals with our pre-bootcamp sessions this summer, 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

  • See schedule for more tools and frameworks…

Learn Core Topics

Get hands-on experience in the most important data science topics with over 100+ 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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