Get career-advancing skills in data science, PLUS essential advice in our unique career mentor talks

A new way to maximize your time and knowledge, with minimum expense.  Over 2 days, discover new learning  and career paths to an exciting future in data science.


Learn from top experts in the field with hands-on training on the most impotant data science frameworks


Connect with our community of data scientists, including speakers, career experts, hiring companies,  and others


Gain a foothold or advance your career in data science. Over two days, better understand your learning and career pathways

June 28 – 29, 2019

117 46th Street



  • Deep Learning

  • Machine Learning

  • Natural Language Processing

  • Text Analytics

  • Data Visualization

  • Data Modeling

  • Data Wrangling

  • 40+ Speakers and experts


  • 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..


  • Data science career pathways

  • Building a data science portfolio

  • Citizen Data Science

  • Upskilling to data science

  • Transitioning to a career in data science


Drew Conway
Drew Conway

CEO and Founder | Alluvium

Jared Lander
Jared Lander

Chief Data Scientist, Author | Lander Analytics, R for Everyone

Stefan Jansen
Stefan Jansen

Founder and Lead Data Scientist | Applied AI

Daniel Gerlanc
Daniel Gerlanc

President | Enplus Advisors Inc.

Julia Lane, PhD
Julia Lane, PhD

Professor | NYU Center of Urban Science and Progress

Matt Brems
Matt Brems

Global Lead Data Science Instructor | General Assembly

Kush R. Varshney, PhD
Kush R. Varshney, PhD

Principal Research Staff Member & Manager | IBM Watson

Todd Cioffi
Todd Cioffi

Data Science Evangelist | DataRobot

Jeffrey Yau, PhD
Jeffrey Yau, PhD

Chief Data Scientist, Faculty Member | AllianceBernstein, UC Berkeley

Innovation Women

David Yakobovitch, PhD
David Yakobovitch, PhD

Principal Data Scientist, Instructor | Galvanize

Garrett Hoffman
Garrett Hoffman

Director of Data Science | StockTwits

Bruno Gonçalves, PhD
Bruno Gonçalves, PhD

Vice President, Data Science & Finance | JPMorgan Chase

Samuel Hoffman
Samuel Hoffman

Research Software Engineer | IBM Watson

Christopher Bishop
Christopher Bishop

Chief Reinvention Officer | Improvising Careers


Yunfeng Zhang, PhD
Yunfeng Zhang, PhD

Research Scientist | IBM Watson

Confirmed Sessions

Training & Workshops

  • Introduction to Data Science

  • Programming with Data: Python and Pandas

  • Time Series Analysis: From Introduction to Advanced Topics

  • Machine Learning with R

  • Custom Data Visualizations with Python

  • 15+ more sessions coming soon….

  • An Introduction to Recommendation Systems

  • Natural Language Processing From Scratch

  • Good, Fast, Cheap: How to Do Data Science with Missing Data

  • Data Science Workflow, Common Language And Misconceptions

  • Deploying Data Science Applications

Career  Mentoring

  • A Career Path to Data Science Through Privacy and Ethics

  • Data Science Career Pathways

  • Transitioning to a Data Science Career

  • How to Succeed at Data Science Jobs That Don’t Exist Yet

  • Building a Data Science Resume

  • Citizen Data Science

More confirmed sessions coming soon

June 28 -29, 2019

Data Science Training & Career Development

  • Launch Your Data Science Career

  • Two Days of Immersive Training

  • Minimum Time, Maximum Benefit

Our experienced and passionate instructors provide hands-on training in the most important models, languages, and frameworks in machine learning and deep learning. Our Career Mentor sessions will help you discover your path to this exciting career.

Register | Limited Offer

Save 40%. Sale ends in:

  • Training Pass
  • $349

    June 28th & 29th
  • Door Price $581. Save 40%
  • Experience Two Full Days of Hands-on Training
  • Access Eight Training Sessions lasting 4 hours each
  • Access Three workshops lasting 1.5 hours each
  • Access Ten Featured Career Mentor Sessions

Who Should Attend


  • Beginners pursuing data science careers

  • Those trying to decide on the right path

  • Business Analyst and Data Analysts seeking new skills


  • Data Scientists

  • Data Engineers

  • ML Engineers

  • Software Engineers


  • Citizen Data Scientists

  • Data Wranglers

  • Data Science 4 Good

  • Data Journalists 

Schedule Overview

Friday June 28th

  • Four Tracks

  • Choose from Twelve 4 hour Training Sessions

  • Hands on training from the Experts

Saturday June 29th

  • Four Tracks

  • Choose from Twelve 2 hour Workshops Sessions

  • Chose from 9 Career Mentoring Sessions