Data Science Accelerator Program

The Data Science Accelerator Program combines in-depth and hands-on lectures with practical workshops to take your 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.

Download brochure

Fill in the form below to receive the brochure with more information about the topics per module and pricing.

Data Science Accelerator Brochure


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:

  • Essentials
  • Core
  • Specialisations


Lecture Hands-on Session
Introduction and Acquaintance
The RStudio stack Scrape and Mine the Web

Core (The Public Data Science Accelerator Program)

Lecture Hands-on Session
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


Lecture Hands-on Session
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 September 13, 2018 (Tursdays every two weeks during 5 months). Interested in joining? Ping us here or look at the website of Xebia Academy.

Experienced trainers

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, Giovanni Lanzani, Henk Griffioen, Jonatan Samoocha, Kris Geusebroek, Robert Rodger, Rogier van der Geer, Ron van Weverwijk, Stijn Tonk, and Vincent Warmerdam.


Participants not only work with the best trainers, but also with the best and latest Data Science tools and technology, including Hadoop, Spark, R, Python, Elastic, Neo4j.

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.

More information about the requirements to participate in the Data Science Accelerator Program

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.

Wendell Kuling
Data Scientist at ING Wholesale Banking Advanced Analytics