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Data Scientist with Python

Machine learning algorithms with Python

The profession of data scientist is one of the most sought-after in the 21st century. This part time online course from StackFuel will teach you how to use supervised and unsupervised machine learning algorithms, different data visualization methods and data storytelling so that you are able to take on the role of data scientist after you finish the course. You will develop the skills you need to work as a data scientist. You can then apply the knowledge you gained in your department and implement machine learning algorithms by yourself. During the course, you will work in our browser-based, interactive learning environment, the Data Lab. This is a full programming environment where you can execute code you write yourself.

Target group

The Data Scientist course is suitable for anyone who wants to analyze data and make predictions based on this data in order to make data-driven decisions. You should be also be interested in machine learning. A good knowledge of Python and common modules (pandas, matplotlib) is required to participate in the Data Scientist Course.

Learning object

The objective of the course is to understand and use performance metrics and assumptions from supervised and unsupervised learning models with sklearn. You will also learn
data storytelling principles as well as best practices for informative visualization design with bokeh algorithms from supervised and unsupervised learning, such as decision trees and random forests.

Conditions for participation

Training type

FastTrack Online course - full-time
Standard Part-time online course to fit around your work

Time : 108 Hours

FastTrack Total duration: 4 Days
StandardTotal duration: 18 Weeks



Next start dates








4.628,40 € incl. VAT Buy

Contact and consultation


Tel: +49 (0) 30 6800 9503

Training formats

Data Scientist with Python Data Scientist with Python

Hands-on learning environment

Participants learn using current technologies and the latest Python libraries.

Advanced technology stack

Our trainings make use of real data sets as well as industry business cases to create hands-on Learning scenarios.


Participants have access to all the computing power they need to complete the course.

Innovative Data Lab

The course takes place in your browser, you don’t need to install any special software.


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

Starting dates

14.09 - 25.10.2020Length: 4 Days
26.10 - 06.12.2020Length: 4 Days
07.12 - 17.01.2021Length: 4 Days
24.08 - 07.02.2021Length: 18 Weeks
12.10 - 28.03.2021Length: 18 Weeks
23.11 - 09.05.2021Length: 18 Weeks


Request the course curriculum for more detail about the course material!

Data Scientist with Python
Data Scientist with Python

Flexible course formats

StackFuel has developed various training formats to meet the diverse requirements of a modern working environment. Our regular part-time courses are designed specifically with company employees in mind, and combine professional development and in-depth skill development with day-to-day work. Our FastTrack courses are tailored specifically toward our participants and customers who would like to take part in our courses more quickly on a part-time or full-time basis. The time spent on our courses each week as part of our FastTrack formats is therefore more concentrated, and you will ready for the job role of Data Analyst or Data Scientist more quickly.


StackFuel's specialist courses follow a practical approach that trains employees for the job roles of the future and gives them the necessary skills to create real added value from data. This is also reflected in the final project that the participants carry out and which our mentoring team, made up of educational data scientists, analyzes and evaluates. Participants receive a certificate based on an independent final project at the end of the course, which they can use in various social networks as well as privately, as proof of their newly acquired knowledge and skills. Our specialist Data Analyst (73598) Data Scientist (73597) courses are ZFU* tested and certified.

*The ZFU checks whether a course meets the requirements of the German Distance Learning Protection Act (Fernunterrichtschutzgesetz) and whether courses are suitable for distance learning in terms of their subject matter and didactics.

Data Scientist with Python
  • testimonial

    Alexander Groß

    Data Analyst at AIC Portaltechnik

    The Data Lab offers real value, where the practical relevance is particularly noticeable. The tasks were clearly described and illustrated, so that I always knew what I had to do – that was a great experience!

  • testimonial

    Lutz Schneider

    Strategic buyer at Axel Springer SE

    The greatest value for me is the practical relevance and the fact, that I can quickly implement what I have learned and adapt it for myself – that is the real learning success behind the courses.

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