As the world has become increasingly digital, the demand for data analysis specialists has risen sharply in recent years. This change has made working competently and professionally with data an essential skill. In StackFuel’s Data Analyst course, you will learn the basics of the Python programming language and consolidate them by applying them to real business scenarios. In the Data Lab, StackFuel’s interactive learning environment, you will use real data sets. This makes it easier to integrate the skills you will gain into your day-to-day work life. After the course, you will be able to carry out data analyses with Python on your own and will be able to make data-driven decisions.
Target group
The Data Analyst course is suitable for anyone who wants to get to know Python as a programming language and who wants to analyze data themselves. The only requirement to participate is motivation to analyze data by yourself and an interest in learning a programming language in a short amount of time.
Learning object
At the end of the course, the learning objective is to have the skills to perform complex data analyses and to merge different sources of data (databases & APIs, web crawling). You will also gain an understanding of the work steps that make up a complex analysis as well as best practices when carrying out a data analysis.
Conditions for participation
No previous programming knowledge is required for the Data Awareness course. You will develop these skills in the first module. However, you should be a frequent computer user, and be familiar with common software.
Next start dates
Full-time
Part-time
Standard
Price
Contact and consultation
E-Mail:
Tel: +49 (0) 30 6800 9503
Training formats
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.
Browser-based
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.
Modules
Module 1
Python Beginner's Guide
Understand the role of data analysts
Learn basic Python skills in the context of data analyses
Use computer programs to automate data analysis
Complete several practical projects
Module 2
Data Analytics with Python
Refresh the basics of Python
Import, process and export data with pandas
Data visualization in Python with pandas, matplotlib and other libraries
Apply the foundations of statistics to company data
Learn to work with various data structures
Tap into external data sources
Make data accessible with the help of reports and interactive dashboards
Starting dates
Curriculum
Request the course curriculum for more detail about the course material!
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.
Certification
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.
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Alexander Groß
Data Analyst at AIC Portaltechnik
The Data Lab really offers added value, you notice instantly how the practical exercises are relevant to your work. The tasks were always clearly described and presented. So I always knew what to do. The course itself was a great experience!
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Lutz Schneider
Strategic buyer at Axel Springer SE
The greatest added value for me was the courses practical relevance. Thanks to StackFuel, I can quickly put what I have learned into practice and adapt it for myself. This is the real learning success behind the online course.
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Jaroslaw Wojciech Sulak
Specialist for data analysis at IAV GmbH
The online StackFuel course content was very hands on. There were a great deal of good examples and projects. I found it very interesting and instructive. My professional life has changed significantly since completing the course: Im now a data analysis specialist in my department.
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Jenny Lindenau
Head of Test Management at Bank Deutsches Kraftfahrzeuggewerbe GmbH
The user-friendly and flexible Python Programming course has entirely changed my view on complex data structures. Thanks to the sustainable and well-designed learning approach, and the seamless use of learning content in the coding environment, I can now apply my new skills in my daily work of testing automation and process data more easily and efficiently.
Our Portfolio of Training and Seminars
Data Awareness
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.
Data Driven Management
Entry into the topics of data strategy, data management and data thinking to identify the entrepreneurial potential of data.
Python Programming
Many office work processes can be automated as part of the digitalization process, reducing employees' workloads and increasing productivity at the same time.