The goal of this course is to learn object-oriented programming (OOP) with Python. In addition, you will learn the basics in Bash and Git to use and create code collaboratively in a team.
The automation of digital processes and the analysis of large amounts of data often require customized solutions for use in the company. For this reason, Data Scientists should be able to generate production-ready code collaboratively in a team.
The advanced training is suitable for you and your career aspirations if you have a degree, ideally in the fields of mathematics, computer science, natural sciences, technology, business administration, (business) information technology or have a comparable qualification or previous experience.
Objectives:
Contents:
Objectives:
Contents:
Objectives:
Contents:
Objectives:
Contents:
The demand for data experts is high. Around 4 million data experts will be needed in Europe by 2025. And in 2021 alone, more than 80,000 jobs for IT specialists were advertised in Germany. The demand for data and AI experts in particular continues to grow enormously.
But a decision for a data career is so much more than just a safe decision for the future! As a data expert, you deal with powerful, socially relevant topics, are a tech professional, and are communicative and creative at the same time. The profession is varied, can be combined with most other professions and offers an attractive salary. And most importantly, with us it can be learned unerringly!
Yes, after successful completion of the training, you will receive a certificate of completion from us that you can show in your job applications. Data Analysts and Data Scientists are desperately sought after in many business sectors. Even without relevant work experience, your chances of finding an entry-level job are good. In addition, there are analysts in almost every industry who have different job titles, but the skills you need are the same as those of a data analyst or data scientist.
No, the training is designed to be flexible and part-time. You can pursue your profession without restrictions and can schedule your learning times as they fit best for you. If you suddenly have more time available, you can contact us by e-mail and we will activate the learning content for the part-time version in your account. In this variant you can complete the training within only four weeks. If you realize that you need more time, you can still complete the content in the regular time.
Yes, our online training courses are designed to offer you the greatest possible flexibility. In general, we recommend that you plan six to eight hours per week for learning. When you want to schedule this time is up to you and is not prescribed by us. In our career paths, the Data Analyst and Data Scientist course, we offer live webinars where you can ask our mentors questions, but you don't have to attend if it doesn't fit into your schedule.
(Participants in our sponsored training courses are excluded. These must attend a fixed number of hours per week and are obliged to participate in the live webinars).
StackFuel GmbH
Nostitzstrasse 20
10961 Berlin
info@stackfuel.com
030 / 544 533 420
English 
German 