ODSC Mini Bootcamp Boston | Open Data Science Conference

Turn ODSC into a mini-bootcamp with our 3 day pass

Avail free access to on-demand pre-bootcamp training to win prizes.

Join Pre-Bootcamp Training

Start learning in the winter with the very fundamentals of data science on-demand training to build confidence and prepare for the bootcamp.

Learn Applied Skills at the Mini- Bootcamp

Join the 3 day mini-bootcamp and learn the languages, algorithms, and tools from some of the leading data scientists in the world

Career Support

Network with attendees from 1,600+ companies and meet over 40 companies hiring directly at ODSC, career days, webinars, resume reviews and more

Get Certified

Get a certification of completion upon finishing 3 days of instruction

Registration

Limited Offer | 40% discount ends in:

Kick-start your career in data science, from beginner to advanced in just 3 days. Get the skills you need, taught by world-renowned experts

ODSC Mini Virtual Bootcamp is the best way to gain in-demand data science skills in the shortest time with minimum investment. Starting in the winter, the on-demand pre-Bootcamp Training will provide the right preparation and confidence to put your practice to work in your learning path.

It’s truly an immersive experience. Over almost a week, you will access an expanse of industry-focused data science topics on a scale not offered elsewhere. Uniquely, you will also get 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.

Past Specialization Tracks

Attend one of our six specialization tracks or customize it to your own goals

The 2021 Specialization tracks will be announced soon.

Machine Learning with Python
- Introduction to Statistics for Data Science
- Mathematics for Data Science
- Programming with Data: Python and Pandas
- Hands-on Machine Learning with scikit-learn
- Bayesian Data Science: Probabilistic Programming
- Introduction To Face Processing With Computer Vision
- Solving the Data Scientist’s Cold-Start Problem with Machine Learning Examples
- Missing Data in Supervised Machine Learning
- Causal Inference for Data Science
- Scalable Active Learning and Semi-supervised Learning
- ML Inference on Edge with ONNX Runtime
- Atypical Applications of Typical Machine Learning Algorithms
- Interpreting and Explaining XGBoost Models
Machine Learning with R
- Introduction to Statistics for Data Science
- Mathematics for Data Science
- R for Python Programmers
- Machine Learning in R Part I: Penalized Regression and Boosted Trees
- Machine Learning in R Part II: Using workflows to build an ML optimization pipeline
- Machine Learning in R Part III: Forecasting Time Series Data
- Missing Data in Supervised Machine Learning
- Machine Learning in R Part IV: Putting R-Based Machine Learning into Production with Plumber and Docker
- Causal Inference for Data Science
- Missing Data in Supervised Machine Learning
- Atypical Applications of Typical Machine Learning Algorithms
Deep Learning
- Introduction to Statistics for Data Science
- Mathematics for Data Science
- Programming with Data: Python and Pandas
- Hands-on Machine Learning with scikit-learn
- Introduction To Face Processing With Computer Vision
- Deep Learning Building Blocks
- Variational Auto-Encoders for Customer Insight
- Transformers for Computer Vision
- State of the art AI methods with TensorFlow: Transfer Learning, RL and GANs
More sessions coming soon
Data Engineering / MLOps
- Introduction to Statistics for Data Science
- Mathematics for Data Science
- SQL for Data Science
- Data Science Best Practices: Continuous Delivery for Machine Learning
- Deploying ML pipeines with open-data
- Kubeflow Security and Pipeline deployment in MLOps
- ML Inference on Edge with ONNX Runtime
More sessions coming soon
NLP
- Introduction to Statistics for Data Science
- Mathematics for Data Science
- Programming with Data: Python and Pandas
- Advanced NLP: From Essentials to Deep Transfer Learning
- Spark NLP for Healthcare: Lessons Learned Building Real-World Healthcare AI Systems
- Building an Industry Classifier With The Latest Scraping, NLP and Deployment Tools
- State-of-the-art NLP Made Easy with AdaptNLP
- State of the art AI methods with TensorFlow: Transfer Learning, RL and GANs
More sessions coming soon
Data Visualization
- Introduction to Statistics for Data Science
- Mathematics for Data Science
- Bringing Data to the Masses Through Visualization
- Animating Data: From matplotlib plots to GIFs
- From Numbers to Narrative: Turning Raw Data into Compelling Visual Stories with Impact
More sessions coming soon

Our mini bootcamp is fully customizable, you can attend the sessions you want live and on-demand after our conference. Check all available training here – Training Page.

East Mini Virtual Bootcamp Overview

Begin, this winter, with a pre-bootcamp on-demand training to build confidence on the core fundamentals of data science, and steadily progress through the bootcamp week with our hands-on training and expert-led sessions and projects. 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.

Data Science 101: Machine Learning & Modeling in Theory & Practice – by Kirk Borne, PhD, Booz Allen Hamilton (Duration: ~3 hrs)
SQL for Data Science – by Mona Khalil, Greenhouse Software (Duration: ~3 hrs)
Recommendation Systems in Python – by Joshua Bernhard, NerdWallet (Duration: ~3 hrs)
Modern Data Acquisition – by Max Humber, General Assembly (Duration: ~3 hrs)
Data Science and Machine Learning in the Cloud for Cloud Novices – by Joy Payton, Children’s Hospital of Philadelphia (Duration: ~3 hrs)

Schedule: Self-paced

Pre-bootcamp Live Training

Build a foundation of essential hands-on concepts as part of your Bootcamp pass and get complimentary access to one Live training of your choice on the Ai+ training platform.

Upcoming live training include:

Mini-Bootcamp Day 1 - Beginner Level Sessions (March 30th)

Previous sessions include:

Mathematics for Data Science
Statistics for Data Science
Introduction to Python Programming with Pandas
Introduction to Natural Language Processing
SQL for Data Science
Introduction to Bayesian Modelling
Recommendation Systems Fundamentals
Introduction To Face Processing With Computer Vision

Mini-Bootcamp Day 2 - Intermediate Level sessions (March 31st)

Previous sessions include:

Introductory to Intermediate Machine Learning with scikit-learn
Advanced Machine Learning with scikit-learn: Pipelines, Evaluation Metrics, Imbalanced Classification
Machine Learning in R: Penalized Regression, Boosted Trees and build ML pipelines
Machine Learning in R: Forecasting Time Series Data and ML in production with Plumber, Docker
Machine Learning for Trading
Interpreting and Explaining XGBoost Models
Bayesian Data Science: Probabilistic Programming
Deep Learning with TensorFlow and PyTorch

Mini-Bootcamp Day 3 - Advanced Level Sessions (April 1st)

Previous sessions include:

Variational Auto-Encoders for Customer Insight
Learning and Mining Large-Scale Spatiotemporal Data
From Numbers to Narrative: Turning Raw Data into Compelling Stories with Impact
How To Build And Test A Trading Strategy Using ML
State-of-the-art NLP Made Easy with AdaptNLP
Building an Industry Classifier With The Latest Scraping, NLP and Deployment Tools
Sequence Modelling with Deep Learning
Image Detection as a Service: Use APIs and Deep Learning to Support Products

Certificate of Completion & More

Obtain an ODSC Certification of Completion
Get access to all ODSC East 2021 recorded sessions
Get access to over 100+ additional recorded sessions from prior ODSC events, including ODSC West and ODSC Europe

What You’ll Learn

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
See schedule for many more…

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