Training Sessions

– Taught by World-Class Data Scientists –

Learn the latest data science concepts, tools and techniques from the best. Forge a connection with these rockstars from industry and academic, who are passionate about molding the next generation of data scientists.

Highly Experienced Instructors

Our instructors are highly regarded in data science, coming from both academia and notable companies.

Real World Applications

Gain the skills and knowledge to use data science in your career and business, without breaking the bank.

Cutting Edge Subject Matter

Find training sessions offered on a wide variety of data science topics from machine learning to data visualization.

ODSC Training Includes

Form a working relationship with some of the world’s top data scientists for follow up questions and advice.

Additionally, your ticket includes access to 50+ talks and workshops.

High quality recordings of each session, exclusively available to premium training attendees.

Equivalent training at other conferences costs much more.

Professionally prepared learning materials, custom tailored to each course.

Opportunities to connect with other ambitious like-minded data scientists.

Training Sessions

Tensorflow for Absolute Beginners with Lead Staff Developer Advocate at Google, Deep Learning TensorFlow & Machine Learning Expert, Kaz Sato

TBD

Bio

Kaz Sato is Staff Developer Advocate at Google Cloud team, Google Inc. focusing on Machine Learning and Data Analytics products, such as TensorFlow, Cloud ML and BigQuery. Kaz has been speaking at major events including Google Cloud Next SF, Google I/O, Strata NYC etc., authoring many GCP blog posts, and leading developer communities for Google Cloud for over 8 years. He is also interested in hardwares and IoT, and has been hosting FPGA meetups since 2013.

Curriculum

TBD

Prerequisites

TBD

Introduction to Data Science with R with Chief Data Scientist of Lander Analytics and Author of R for Everyone Jared Lander

TBD

Bio

Jared Lander is the Chief Data Scientist of Lander Analytics a data science consultancy based in New York City, the Organizer of the New York Open Statistical Programming Meetup and the New York R Conference and an Adjunct Professor of Statistics at Columbia University. With a masters from Columbia University in statistics and a bachelors from Muhlenberg College in mathematics, he has experience in both academic research and industry. His work for both large and small organizations ranges from music and fund raising to finance and humanitarian relief efforts.

He specializes in data management, multilevel models, machine learning, generalized linear models, data management and statistical computing. He is the author of R for Everyone: Advanced Analytics and Graphics, a book about R Programming geared toward Data Scientists and Non-Statisticians alike and is creating a course on glmnet with DataCamp.

Curriculum

TBD

Prerequisites

TBD

Machine Learning with R with Chief Data Scientist of Lander Analytics and Author of R for Everyone Jared Lander

TBD

Bio

Jared Lander is the Chief Data Scientist of Lander Analytics a data science consultancy based in New York City, the Organizer of the New York Open Statistical Programming Meetup and the New York R Conference and an Adjunct Professor of Statistics at Columbia University. With a masters from Columbia University in statistics and a bachelors from Muhlenberg College in mathematics, he has experience in both academic research and industry. His work for both large and small organizations ranges from music and fund raising to finance and humanitarian relief efforts.

He specializes in data management, multilevel models, machine learning, generalized linear models, data management and statistical computing. He is the author of R for Everyone: Advanced Analytics and Graphics, a book about R Programming geared toward Data Scientists and Non-Statisticians alike and is creating a course on glmnet with DataCamp.

Curriculum

TBD

Prerequisites

TBD

Quant Finance w/Machine Learning/Deep Learning & Python with Lecturer, Author of Derivatives Analytics with Python and Python for Finance, and Founder of PyQuants Yves Hilpisch

TBD

Bio

Yves has a Ph.D. in Mathematical Finance and is the founder and managing partner of The Python Quants GmbH. He is also the author of the books Python for Finance, Derivatives Analytics with Python and Listed Volatility & Variance Derivatives. He lectures for Data Science at htw saar University of Applied Sciences and for Computational Finance at the CQF Program and is the organizer of the Python for Quant Finance Meetup in London.

Curriculum

TBD

Prerequisites

TBD

Advanced Machine Learning with Spark with Founder and Research Scientist at PipelineIO, Apache Spark Contributor, Author of the upcoming book, Advanced Spark Chris Fregly

TBD

Bio

Chris Fregly is a Research Scientist at PipelineIO. Chris is also the founder of the global Advanced Apache Spark Meetup and author of the upcoming book, Advanced Spark @ advancedspark.com. Previously, Chris was a Data Solutions Engineer at Databricks and a Streaming Data Engineer at Netflix. When Chris isn’t contributing to Spark and other open source projects, he’s creating book chapters, slides, and demos to share knowledge with his peers at meetups and conferences throughout the world.

Curriculum

TBD

Prerequisites

TBD

Sign Up for ODSC EUROPE 2017 | October 12-14

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