London | November 19th–22nd, 2019

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. Whether you are new to data science, an experienced 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 workshops to get you started. Our expert speakers and presenters 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.

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 sessions, talks, and workshops on the most important tools and topics 

  • Deep Learning

  • Machine Learning

  • Artificial Intelligence

  • Text Analytics

  • Data Wrangling

  • Predictive Analytics

  • Machine Vision

  • Voice AI

  • Python 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

Some of Current Track Speakers

Alex Peattie
Alex Peattie

Co-founder, CTO at Peg

Jesus Rogel-Salazar, PhD
Jesus Rogel-Salazar, PhD

Data Science Instructor at General Assembly

Andreas Mueller, PhD
Andreas Mueller, PhD

Author, Research Scientist, Core Contributor of scikit-learn | Columbia Data Science Institute

Jared Lander
Jared Lander

Chief Data Scientist, Author of R for Everyone, Professor | Lander Analytics, Columbia Business School

Some of Our Previous Speakers

Andreas Mueller, PhD
Andreas Mueller, PhD

Author And Lecturer

Core contributor to scikit-learn

Jared Lander
Jared Lander

Statistics Professor at Columbia University and Author of R for Everyone

Todd Cioffi
Todd Cioffi

Data Science Evangelist at DataRobot

Isaac Reyes
Isaac Reyes

TEDx Speaker, Founder, Data Science Lead at DataSeer

Jan Willem Tulp
Jan Willem Tulp

Data Experience Engineer at TULP Interactive

Why Attend?

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

With numerous introductory level workshops, 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 

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

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

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

Network at our numerous lunches and events and meet data scientists, enthusiasts, 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 Kick-start track is ideal for anyone looking to learn the languages, tools, and topics of data science. Not only will you train in key areas of data science like deep learning and machine learning;  you will  also learn the tools and languages to implement modules such as TensorFlow, scikit-learn, Python, and R

  • Beginners interested in getting started in data science

  • Individuals eager 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 eager 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 ready for more practical applied training in data science tools and techniques

  • Industry experts seeking to understand the impact of data science on their industry

Sign Up for ODSC EUROPE 2019 | November 19th–22nd

Register Now