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Data Scientist with Python


Online on-the-job Training


96 h in 4 months (4-6 h/week)


Deutsch / English

The aim of this practical training program is to learn how to use common data science methods and tools in order to work more productively in data science teams. Upon completion of the program, participants will be able to recognize patterns and trends by using machine learning methods.

Module 1

Data Wrangling: Gaining New Insights

Refresh skills in data processing with pandas

Gain new insights from structured, semistructured and unstructured data

Use relational and NoSQL databases

Module 2

Machine Learning: Algorithms at Work

Create forecasts using Scikit-learn

Differentiate between supervised and unsupervised learning and apply each type competently

Implement typical algorithms, such as Random Forest, Bayes Classification, Clustering

Module 3

Inferential Statistics for Data Scientists

Run data queries and resolve them with inferential statistics

Perform A/B testing with the help of classical and Bayesian statistics

Module 4

Using Big Data the Smart Way

Use data within a Hadoop infrastructure

Accelerate data processing with the help of Spark

Target audience

Employees who want to develop their skills in data science or who want to enhance their existing knowledge. Participants should possess solid Python programming skills and have some experience in handling data.


  • Train both new and long-standing employees to become data scientists
  • Ensure commercial success through valuable data competency

For Individuals

Looking to enhance your data skills?

Are you looking to enhance your digital skills, and stay up to date with industry trends? We can help you convince your employer.

Your Business

A home for data professionals

Are you looking to develop and retain your in-house talent with first-class training in high demand digital skills?

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