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)

Schedule: Self-paced

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

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)

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

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

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

• 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