ODSC Europe Virtual Conference | June 8 - 10, 2021

R for Data Science Track

Learn the latest models, packages, and tools from the top practitioners and R Data Scientists
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R, long one of the most popular languages for statistical modeling, has evolved into a data science powerhouse platform with dozens of packages and interfaces for machine learning, deep learning, data visualization, and various other data science methods.

This advanced language is used for performing complex statistical modeling and provides support for operations on arrays, matrices, and vectors. Its many graphical libraries allow users to delineate aesthetic graphs and also develop web-applications using R Shiny, which is used for embedding visualizations in web-pages. R also provides  several options for advanced data analytics like prediction modeling and advanced machine learning algorithms. With interfaces to popular frameworks like TensorFlow and Keras, R users can easily build and deploy the latest deep learning models. 

What You'll Learn

Talks, Tutorials, and hands-on workshop and training sessions for this focus area include:

Topics

  • Machine Learning with R

  • Deep Learning with R

  • Statistical Modeling

  • Predictive Analytics

  • Data Analysis

  • Data Visualization

  • Text Analytics

  • Natural Language Parsing (NLP)

Models

  • Regression

  • Classification

  • Bayesian Models

  • Machine Learning Models

  • Deep Learning Models

  • Gradient Boosting 

  • Time Series Models 

  • Random Forest  

  • KNN, SVM, & LDA 

Tools 

  • MLR

  • R Shiny & tidyr

  • ggplot2

  • Caret 

  • TensorFlow and Keras Interfaces

  • R Markdown

  • XGBoost

  • tm & OpenNLP 

  • e1071 & dplyr

ODSC EUROPE Virtual Conference 2021 | June 8 - 10

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Some Previous Speakers

Co-Founder, CTOJumping Rivers

Dr. Colin Gillespie

Dr Colin Gillespie is the Co-Founder and CTO of Jumping Rivers. A data science consultancy that specialises in all things R and Python. He is also a Senior Statistics lecturer at Newcastle University, has published over eighty peer-reviewed papers, and co-authored the O’Reilly book, Efficient R programming.

Managing your Data Science Git Repositories(Training)

Chief Data Scientist, Author of R for Everyone, ProfessorLander Analytics, Columbia Business School

Jared Lander

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 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 fundraising 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.

Machine Learning in R Part I & II(Training)

Lead Data ScientistInsideTracker

Svetlana Vinogradova, PhD

Svetlana Vinogradova is a Data Scientist at Inside Tracker, leading the Data Science team to integrate blood biomarkers and DNA data with physiological data from activity trackers to improve lifestyle recommendations and discover new patterns and optimal zones in sleep, heart rate, and blood biomarkers.
Prior to Inside Tracker, Svetlana was a research fellow at Dana Farber Cancer Institute and Harvard Medical School where she worked as a bioinformatician developing statistical methods to study epigenetic mechanisms affecting gene expression.
Svetlana has a PhD in Bioinformatics and Mathematical Biology from Lomonosov Moscow State University. During her PhD, she worked on developing algorithms to study RNA secondary structures and also enjoyed teaching and developing bioinformatics, algorithms, and R programming courses.

Building Personalized Scores for Customers: How to Combine Different Data Types and Learn in the Process (Talk)

Data Science ManagerBoostrs

Gabrielle Fournet, PhD

Gabrielle is the Head of Data Science at Boost.rs, a startup focusing on people professional development. In this role, Gabrielle is responsible for building and maintaining a world-class database of jobs and skills across 27 major industries. In addition, she develops algorithms to recommend meaningful career paths to the Boost.rs users and help them progress in their careers. Prior to her startup experience, Gabrielle was a medical researcher in the field of brain imaging. She holds a PhD in physics from the Paris-Saclay University and an engineering degree from ESPCI ParisTech.

Your Future, Today. Using NLP to Advance Your Career.(Talk)


Why Attend

Several of the best minds and biggest names in data science will be presenting

Network with attendees from leading data science companies to learn how others are tackling similar problems

Gain quality training in the hottest data science topics, tools, and languages

Learn the latest in data science from industry leaders without having to make room in the budget — tickets are surprisingly affordable

More Reasons To Attend?

Download the why attend guide

Who will attend

  • Some of the world’s best data science speakers

  • The brains and authors behind today’s most popular open data science tools, topics, and languages

  • Hundreds of attendees focused on data science

  • Chief Data Scientists

  • Thought leaders working in data science

  • Data Scientists and Analysts

  • Software Developers

  • CEOs, CTOs, CIOs

  • Data Visualization professionals

  • Venture Capitalists and Investors

  • Startup Founders and Executives

  • Attendees from Healthcare, Finance, Education, Business, Intelligence, and other industries

  • Big data and data science innovators

ODSC EUROPE Virtual Conference 2021 | June 8 - 10

Register Now
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