Data Science Accelerator Program
The Data Science Accelerator Program combines in-depth and hands-on lectures with practical workshops to data science skills and knowledge to the next level.
Data Science Accelerator Program
Until now, there’s been no precise definition or benchmark for this role. GoDataDriven developed the Data Science Accelerator Program to take the skills and know-how of data scientists to an exceptional level, so that they can transition organizations into DataDriven enterprises.
The unique Data Science Accelerator Program assesses and boosts your data science skills, and escalates you to the next level through a combination of in-depth lectures and hands-on sessions that put theory into practice.
In-company or public
The in-company Data Science Accelerator Program consists of twelve lectures and twelve hands-on sessions that provide a full overview of modern day Data Science.
The public Data Science Accelerator Program consists of five lectures and five hands-on sessions (10 days total) over a period of 5 months, covering all the core components. Register for the Data Science Accelerator Program
To complement and deepen your skill set after attending the Core program, we also offer Specialization training.
Fill in the form below to receive the brochure with more information about the topics per module and pricing.
The lectures and hands-on sessions of the Data Science Accelerator Program are based on years of hands-on experience with implementing of Data Science applications within organizations in many industries. Because of this experience, the program not only focuses on Data Science knowledge but also on industry best-practices. It’s divided into three segments:
|Introduction and Acquaintance|
|The RStudio stack||Scrape and Mine the Web|
|The IPython Stack||Web development with Flask and Postgres as a Backend|
|Probability Stack||Solve Multi-Armed Bandit Problems|
|Machine Learning||Create a Predictive Model, Wrap it in an API and put it into Production|
|Ensembles & Neural Networks||Use Different Methods to Recognize Hand-Written Digits|
|Time series||Predict an optimal portfolio for the stock market|
|Optimisation Science||Create a Travelling Salesman Solution|
|Natural Language Processing||Apply NLP on the Enron Email Dataset|
|Graphs||Create a Recommender for Ingredients Based on Recipe Data|
|Making Things Scale||Clickstream Analysis with Kafka and Spark|
|Signal Processing||Apply Signal Processing to Speech Data|
|Advanced Topics||You Pick|
The next Data Science Accelerator Program wil start on May 10, 2017 (Wednesdays every two weeks during 5 months). Interested in joining? Ping us here
The Data Science Accelerator Program is presented by world class industry practitioners and provides current and aspiring data scientists an opportunity for intensive on and off site instruction, access to an extensive network of speakers, mentors, and coaching. The instructors are seasoned data scientists that work with the program tools and technologies on a daily basis.
Trainers include Andrew Snare, Gabriele Modena, Giovanni Lanzani, Henk Griffioen, Jonatan Samoocha, Kris Geusebroek, Robert Rodger, Rogier van der Geer, Ron van Weverwijk, Stijn Tonk, and Vincent Warmerdam.
Leading technology providers support the Data Science Accelerator Program initiative and contribute to the program where needed. Partners include Cloudera, Databricks, Rstudio, Microsoft, Hortonworks.
The Data Science Accelerator Program was developed to take the skills of data scientists with some experience to the next level.
A background in math, statistics, or other quantitative disciplines, combined with basic Data Science and programming skills is required. Plan for an additional eight hours of self-study per month.
Participants who can also apply the program’s content in their daily, professional work will obtain the most benefit.
Any other questions? Contact us
GoDataDriven's Data Science Accelerator Program is very important to us. The Data Science field is expanding rapidly, therefore it is very important to be trained by professionals that combine an academic background with hands-on Data Science experience.