Turn ODSC into a mini virtual bootcamp with our 3 day passes.

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

Join Pre-Bootcamp Training

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

Learn Applied Skills at the Mini- Bootcamp

Join the 3-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 days of instruction

Registration

70% off 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 summer, the Live and on-demand pre-Bootcamp Training 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 spring, with a pre-bootcamp on-demand and live 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 (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

Pre-Bootcamp Live Training (Coming Soon)

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

Choose one out of 4 as part of the pass:

February 16th: Getting Started with D3.js for Data Visualization

March 2nd and March 8th: From Numbers to Narrative: Data Storytelling & Visualization

April 13th: Introduction to Fraud and Anomaly Detection

April 20th: Advanced Fraud Modeling

Mini-Bootcamp Day 1 - Beginner Level (June 8th)

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 (June 9th)

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 (June 10th)

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

Past ODSC Europe Instructors

[awsmteam id=”52368″]

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

70% off ends in:

[supsystic-price-table id=20]

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

Open Data Science

Open Data Science
Innovation Center
101 Main St
Cambridge, MA 02142
info@odsc.com