ODSC West Mini Bootcamp | Open Data Science Conference

Turn ODSC into a mini-bootcamp with our 3 day or 4 day passes

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

Join Pre-Bootcamp Training & Hackathon

Start learning in the summer with the very fundamentals of data science, followed by a live training and hackathon to build confidence, and win prizes.

Learn Applied Skills at the Mini- Bootcamp

Join the 3 or 4-day live 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 or 4 days of instruction

Registration

Early Bird | 60% discount ends in:

Kick-start your career in data science, from beginner to advanced in just 4 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 summer, the Live and on-demand pre-Bootcamp Training & the Learning Hackathon 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.

Available Specialization Tracks

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

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.

West Mini Virtual Bootcamp Overview

Begin, this summer, with a pre-bootcamp on-demand and live training followed by a hackathon 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.

Programming with Data: Python – by Daniel Gerlanc, Enplus Advisors (Duration: ~3 hrs)
Statistics for Data Science – by Andrew Zirm, PhD, Greenhouse Software (Duration: ~3 hrs)
Fundamentals of SQL for Data Science – by Mona Khalil, Greenhouse Software (Duration: ~3 hrs)

Schedule: Self-paced

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

Pre-Bootcamp Live Training

As part of your Bootcamp access, use your skills at hand and avail access to live-training on a session of your choice: Deep Learning, NLP and SQL. These sessions brings hands-on code run-throughs on Jupyter Notebooks and guided projects, and build a solid foundation for advanced training sessions ahead. Click below for live-training outline and requirements.

Deep Learning with TensorFlow 2 and PyTorch – by Dr. Jon Krohn, Untapt (Duration: 4 hrs)

Live-Training Schedule: July 29th, 12 PM (ET)

NLP Fundamentals – by Leonardo de Marchi, Badoo (Duration: 4 hrs)

Live-Training Schedule: August 18th, 12 PM (ET)

SQL Bootcamp for Data Science – by Mona Khalil, Greenhouse Software(Duration: 4 hrs)

Live-Training Schedule: September 30th, 12 PM (ET)

Note: only accessible to 4-Day Bootcamp registrants.

Learning Hackathon

A unique challenge to apply your ideas and data skills gained from Pre-Bootcamp on-demand and live training. This challenge will equip you to upskill on advanced level topics during the 3 or 4-Day Bootcamp.

Create and share your compelling notebook by yourself or as a team with an analysis on one of the various datasets provided on causes of pressing importance.
Submit your project with a screencast of a presentation explaining the impact and methodology of your analysis.
Submissions must be original work of you or your team.
Hackathon Schedule: early-mid August (To be announced)
Judging: mid-late August
Winners announcement: Early September
Winners recognition: ODSC Europe Conference Awards (Bootcamp Week)

Prizes & Winners

First two winning teams will receive an invitation to donate an amount (to be announced soon) to a non-profit or charity of your choice, plus full complimentary access to the entire bootcamp and on-demand content library of over 150 industry and academia focused session.

Subsequent third and fourth winners will receive one full-day complimentary training pass to attend sessions of their choice.

Register Here

(Note: Hackathon is open to all)

Mini-Bootcamp Day 1 - Beginner Level SEssions (October 27th)

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

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 & 3 - Beginner to Intermediate Level (october 28th - 29th)

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

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 4 - Intermediate to Advanced Level (october 30th)

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

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 West 2020 recorded sessions
Get access to over 100+ additional recorded sessions from prior ODSC events, including ODSC East and ODSC Europe

What You’ll Learn

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 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