Importing, processing and storing data
Many office work processes can be automated as part of the digitalization process, reducing employees’ workloads and increasing productivity at the same time. Basic programming knowledge can often be enough to automate processes in your day-to-day work. StackFuel has developed a training course in which the basics of programming with Python are taught, thus providing participants with tools to automate their own work processes.
The course is suitable for anyone who's work is predominantly digital, but who did not study IT and a related subject. You should have an interest in technology.
The goal of this hands-on course is to learn the basics of the free programming language Python and commonly-used libraries for importing, processing and storing local data.
Conditions for participation
No previous programming knowledge is required for the Python Programming course. You will develop these skills in the course. However, you should be a frequent computer user, and be familiar with common software.
Next start dates
Contact and consultation
Tel: +49 (0) 30 6800 9503
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.
Represent data as numbers or text in Python
Save data in variables and lists
Create, read and change lists
Read error messages and use them productively
Use standard Python functions like len() or sum()
Methods of text and list data types, e.g. str.format () or list.append()
Represent truth values as bool and define them with comparison operators
Two-hour mini-project with car data to consolidate the learning content
Write for loops and link them to conditions
Write functions yourself and check how they work
Import python modules
Read data in as simple text and export it again
four-hour final project for workplace automationOne-hour mini project with telephone data to consolidate the learning content
Deepening of the concepts and final project
Complex data structures
Four-hour final project for workplace automation
Request the course curriculum for more detail about the course material!
Flexible course formats
Our standard part-time courses are designed specially for company employees, as they combine professional development and in-depth skills development with everyday work. With our new FastTrack trainings, we are addressing the needs of our participants and customers who would like to take part in our courses on a part-time or full-time basis in particular. The time spent on our courses each week as par of our FastTrack formats is therefore more concentrated and you will develop more quickly into the job role of Data Analyst or Data Scientist.
StackFuel's specialist courses follow a practical approach that helps employees get into 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 this 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.
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!
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.
A seminar that covers the basics of data analytics to gain an understanding of data-driven work and decision-making and to synchronise team work.
Entry into the topics of data strategy, data management and data thinking to identify the entrepreneurial potential of data.
A practical, hands-on training that will teach you how to analyse and visualise data, and perform basic statistical operations on data with Python.