San Francisco | November 3rd-5th, 2017

Data Science Kick Start

Kick Start Your Data Science Career

Learn Essential Skills to Kick Start Your Career

Data Science skills are in ever increasing demand. Regardless if you are beginning your data science career, a software engineer looking to augment your skills or even a business professional looking beyond the hype, our Kick start track is for you.

Accelerated Learning Over 3 Packed Days

The Data Science Kick start track offers many introductory level talks, tutorials and workshop to get you started. Our expert speaker and presenter offer world-class instruction and give you invaluable insights to help you learn what matters most. We cover the most important tools, topic, and techniques in use to ensure you are ready to hit the ground running.

West 2017 Featured Speakers

A few our ODSC West 2017 speakers, more added weekly

Peter Bull

Co-founder and Data Scientist at DrivenData

Edgar Ruiz

Solutions Engineer at RStudio

Eugene Mandel

Lead Data Scientist at Directly

Maxime Beauchemin

Data Engineer at AirBnB, Airflow PMC Member at the Apache Software Foundation

Paul Kowalczyk, PhD

Data Scientist, Bioinformatics & Computational Biology at Syngenta

Seth Weidman

Senior Data Scientist at Metis

Jacob Schreiber

Core Developer of the Popular scikit-learn Machine Learning Package for Python and Pomegranate Writer

Bhaskar Karambelkar

Manager Security Analytics at EY, Information Security Data Practitioner

Ted Kwartler

AVP of Innovation at Liberty Mutual Insurance

John Boersma, PhD

Director of Education for DataRobot

Jared Lander

Statistics Professor at Columbia University and Author of R for Everyone

Andreas Mueller, PhD

Core Contributor of scikit learn. Author of Introduction to Machine Learning with Python

full list here!

What You’ll learn

Data science has many focus areas. The goal of this track to accelerate your knowledge of data science by offering a series of introductory level training, talks, and workshops on the most important tools and topics to help you quickly gain essential data science skills

Deep Learning
Machine Learning
Artificial Intelligence
Text Analytics
Data Wrangling
Predictive Analytics
Machine Vision
Voice AI

Pyton for Data Science
R & Julia
Apache Spark, MLlib
scikit-learn, Azure ML, Amazon ML, H20.ai
Tensorflow, Caffe, CNTK, Torch
Data Visualization
Neo4J, D3.js, R-Shiny

Why Attend?

Accelerate and broaden your knowledge of key areas in data science including deep learning, machine learning, and predictive analytics

With numerous introductory level workshops your get hands-on experience to quickly build up your skills

Post-conference, get access to recorded talks online and learn from over 100+ high quality recording sessions that let you review content at your own pace post conference

Take time out of your busy schedule to accelerate your knowledge on the latest advances in data science

Learn directly from world-class instructors who are the authors and contributors to many of the tools and languages used in data science today

Meet hiring companies ranging from hot startups to Fortune 500 looking to hire professionals with data science skills at all levels

Network at our numerous lunches and events to meet and collaborate with data scientists, enthusiast, and business professionals

Get access to other focus area content including ML / DL, Data Visualization, Quant finance, and Open Data Science

Who Should Attend

The Data Science Kickstarter track is ideal for anyone looking to learn the languages, tools, and topics of data science. Not only will you train on key areas of data since like deep learning and machine learning but also learn the tools and languages to implement modles such as TensorFlow, scikit-learn, Python, and R

Beginners interested in getting started in data science
Individuals seeking to better understand focus areas of data science such as deep learning, machine learning, text analytics etc.
Software engineers and software architects looking to employ machine learning and data science in their programming
Data wranglers and database specialists looking to leverage their existing data assets with data science tools and models
Business professionals interested in data science and looking to gain a deeper understanding

Experienced data scientists looking to enhance their data science skills
Anyone interested in learning data science languages such as Python, R, and Julia
Technologists looking to use the latest data science tools such as Apache Spark and TensorFlow to implement machine learning and deep learning
Students and academics looking for more practical applied training in data science tools and techniques
Industry experts looking to access the impact of data science on their industry