Turn ODSC into a mini virtual 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

10% off 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 a truly 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
    • Modern and Old Reinforcement Learning
    • Hands-on Reinforcement Learning with Ray RLlib
  • 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
    • 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
    • Active Learning with a Sprinkle of PyTorch
    • 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
  • 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
    • GitOps and Multi-Tenancy Combined for an Enterprise Data Science Experience on Kubeflow
    • Kubeflow Security and Pipeline deployment in MLOps
    • Model Training with GPUs and Live Metrics Tracking with Tensorboard on Kubeflow
    • ML Inference on Edge with ONNX Runtime
    • Building a Production-level Data Pipeline Using Kedro
  • 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
    • Transformers for Computer Vision: Know More Than Meets the Eye

     

    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

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.

Mini Virtual Bootcamp Program 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 (starts now)

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 Live Training (multiple dates available)

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, SQL and more. 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.

Live-Training Schedule:  July 29th, 12 PM (ET) – Recording available now

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

Live-Training Schedule:  October 22nd, 12 PM (ET)

Note: only accessible to 4-Day Bootcamp registrants.

Learning Hackathon (starts in august)

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 (September 16th)

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 (September 17th - 18th)

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 (September 19th)

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

Some of the current Bootcamp Instructors

Check full line-up of speakers and instructors here, and workshop and training sessions here.


Bootcamp Experience

What You’ll Learn

 Learn Fundamentals

Prepare for your immersive training by learning core fundamentals during our pre-bootcamp sessions in the summer, including:

  • Fundamentals of Python Programming

  • Data Analysis in Python

  • Mathematics for Data Science

  • Introduction to Statistics for Data Science

  • SQL for Data Science and 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 with Tensorflow and Keras

  • Reinforcement Learning and Deep Reinforcement Learning

  • Machine Learning

  • Transfer Learning

  • Natural Language Processing

  • Text Analytics

  • Data Visualization and Storytelling

  • Data Modeling and Data Wrangaling

  • NLP BERT and Pre-trained models

  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 virtual networking events, such as Meet the Speakers, Meet the Experts, Ignite session; and many more

  • Network with hundreds of data science attendees to learn what it’s like to be a data scientist

Registration

10% off ends in:


Choose your Pass

Pre-Bootcamp On-Demand Training

Pre-Bootcamp Live Training

Learning Hackathon

Wednesday  | Fundamentals | 6 Sessions

Thursday & Friday| Data Science Training  - 20 Sessions

Thursday & Friday  | Workshops & Talks - 30 Sessions


Thursday & Friday | Virtual AI Expo and Demo Talks

Saturday | Workshops & Talks - 15 Sessions

Saturday  | 

Data Science Training  - 10 Sessions

Saturday | Virtual Career Expo 

All Access

429

3 Days

Thursday - Saturday

Purchase Separately

Purchase Separately

Purchase Separately

Virtual 4 Day Bootcamp 

569


All 4 Days



Learn More About Our Program



Who Should Attend

Beginners

  • Beginners pursuing data science careers

  • Those trying to decide on the right 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 Bootcamp

We’re Proud to Have the Best and Brightest in Attendance