Data Science Training

Training to learn how to develop high-performing Data Science solutions by using R, Python, or Spark.

Learn How to Develop High-Performing Data Science Solutions

Learn to develop high-performing Data Science solutions by using R, Python, or Spark. Our skilled trainers have world-class knowledge and years of experience in the field of Big Data and Data Science.

Training Curriculum

Training is organized through our parent company's training department, Xebia Academy.

Data Science Training

Organizations need to adapt to change more effectively. For this, they require Data Scientists that not only can develop statistical models that predict future events, but can take these models into production as well.

Data Science training enables professionals to escalate their Data Science skills to the next level. Whether you are new to the Data Science scene and want to learn how to develop models with R, Python, or Spark, or you are an experienced Data Scientist interested in broadening and deepening your skill set; GoDataDriven offers a complete package of high-quality Data Science training.

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Brochure Data Science Training 2017


Cloudera Data Science at Scale using Spark and Hadoop

Learn how data scientists use Spark and Hadoop to help companies reduce cost, increase profit, improve products, retain customers, and identify new opportunities. This three-day training taught in English alternates between instructional sessions and interactive, hands-on learning labs to teach you how to use data science to achieve impactful results.

In 2017, this training is scheduled for: 13 – 15 March 13 – 15 June * 20 – 22 November

Three days, € 2195. Find out more about this training, including full programme, dates and registration.

Data Science with Spark

This training empowers you as a data scientist to use Spark to do data science and apply machine learning models. You will learn how to use Spark in combination with Python and Jupyter notebooks and develop skills to use Spark from the command line, notebooks, and scripts. This training also teaches you to work with Data Frames, apply machine learning algorithms in Spark, and use Pipelines and Cross Validation.

In 2017, this training is scheduled for: 24 – 26 January 22 – 24 May * 13 – 15 December

Three days, € 1795. Find out more about this training, including full programme, dates and registration.

Data Science with Python

This training will teach you about the relevant packages and tools to do data science in Python. We will cover the tools and packages that help you solve your day-to-day data science needs. Specifically, you will learn how to work with numpy, pandas, matplotlib, and scikit-learn; we will teach how to use the Jupyter environment and how to leverage its notebooks. Added to that, we will show you how the command line to speed up some everyday tasks relevant to data science.

In 2017, this training is scheduled for: 8 – 10 February 4 – 6 April 26 – 28 June 2 – 4 October

Three days, € 1795. Find out more about this training, including full programme, dates and registration.

Introduction R: From Excel to R

From time to time we host free R introduction courses. Interested? Register here.

Data Science with R

This training empowers you as a data scientist to use R in Rstudio to do data science, analytics and machine learning. You will learn how to apply the tidyverse stack from Rstudio, how to create interactive ML dashboards with Shiny as well as how to integrate R with databases, Spark and the h2o machine learning tooling.

In 2017, this training is scheduled for: 23- 24 March 21 – 22 June * 1 – 2 November

Two days, € 1195. Find out more about this training, including full programme, dates and registration.

Machine Learning for Data Science

In this training, we will show you the basics of machine learning and how to apply machine learning techniques to real-world use cases. You’ll gain hands-on experience in topics like regression, classification, and clustering. You will learn how to do cross-validation and model tuning as well as feature engineering and data preparation.

In 2017, this training is scheduled for: 6 - 8 March 20 - 22 December

Three days, € 1795. Find out more about this training, including full programme, dates and registration.

Data Science Accelerator Program

By combining in-depth lectures with hands-on hackathons, the Data Science Accelerator Program delivers excellent data scientists who can transition organizations into DataDriven enterprises.

The public Data Science program consists of 10 full training days consisting of 5 core lectures and 5 hackathons and spans 5 months. Every month one day training and one day hackathon take place.

Brochure Data Science Accelerator

The program not only focuses on sharing Data Science knowledge but also on sharing development best-practices based on years of hands-on experience with the implementation of Data Science applications within organizations in many industries

After completing the 10-day program, you have a thorough understanding of: How to work with the probability stack Simple modeling Complex modeling How to work with non-traditional data and features * How to work with time series

You’ll gain hands-on experience in: Web development (Flask and Pandas as backend) Building and automate linear models Building a heuristic TSP solver Using tools and technology including Hadoop, Spark, R, Python, Elastic, Neo4j, Scala, Cassandra, D3, Riak, and Storm Developing various types of Data Science models Code reviewing your automation for nonlinear models * Building a method that outperforms Random Forests

In 2017, the program is scheduled to start at: 18 May (One training day every two weeks) November

Ten days, € 6000. Find out more


The trainer was very knowledgeable and encouraged group participation and interaction during the training.

Gunnar Gleiche
CIMT AG