Join us and apply for the "Women in Data" scholarship!
The deadline for applications is June 10, 2021
Learn the most important data analytics skills for the work of tomorrow
Meet our Women in Data and their paths to becoming a dream data analyst.
Get started now and begin your journey as a data analyst
Most women are working while managing family, friends, schedules, as well as the household. It’s important to us to give all women a chance at a data-driven career. That’s why the Data Analyst course is:
Why data analyst is the right job for you.
After successfully submitting your application form, you can take the placement test for the Data Analyst course on the same page. Don’t worry, the test is not difficult and only asks for a basic understanding of mathematics and statistics.
Get to know the people behind the scholarship.
Telefónica Germany / o2 is one of the world's largest telecommunications service providers, with 344 million customers and more than 120,000 employees. With 50.2 million customer connections and 2.2 million broadband connections, Telefónica Germany ranks as the leading telecommunications company in Germany. In addition to products in the area of mobile and fixed-network services for consumers and business customers, the Group offers innovative solutions for mobile data services. Telefónica Germany is becoming a "Mobile Customer & Digital Champion" - with this aspiration, the company wants to actively shape the digital transformation by 2022.
StackFuel is Germany's leading provider of certified online training in data literacy, data science and AI, tailored to the needs of companies in industry and business. To address the digital transformation and the upcoming skills gap in data and AI, StackFuel helps companies effectively and efficiently develop employees into future job roles. The innovative online courses offer participants a modern and flexible learning experience with an interactive and cloud-based learning environment where they independently develop algorithms with industry data sets.
Answers at a glance
To apply for a “Women in Data” scholarship, please answer our application questions and send us your application materials at the following link by June 10, 2021 at 23:59 (CEST). Once we receive your application, we will sift and select it together with the other applications. On July 21, 2021, we will contact you personally to find out whether you have been awarded one of our 50 scholarships and to clarify with you whether you are still interested in the Data Analyst course. Please get back to us within seven calendar days so that we can guarantee your scholarship place.
We are sure that you have absolutely no reason to be afraid of the aptitude test and that you are welcome to give it a try. Otherwise, the answer is unfortunately no: We want to make sure that you have the necessary basic knowledge so that you can successfully complete the course in the planned time.
No, the course is designed to be flexible in terms of time and to take place alongside your job. You can pursue your profession without restrictions and can choose your learning schedule to suit you best. If you have more time available, you can contact us by email and we will activate the learning content for the part-time version for you. In this variant you can complete the course within four weeks. Should you realize in the meantime that you need more time, you can also work on the content later.
The course starts for all scholarship holders on 05.07.2021 and ends at the latest on 21.11.2021. Before the start of the course you can decide whether you want to do the course part-time or part-time. If you choose the part-time option, you will work on one chapter per week, which should take you about six to eight hours per week. In the part-time version, the course runs for 16 weeks. In the part-time variant, you work on three chapters per week, for which you should set aside approx. 18 to 24 hours per week. In return, you will complete your course in just four weeks. For both variants, we have built in buffer times, when you can catch up on content if you haven’t found the time, were sick, or want to take a vacation. And don’t worry: If you choose the part-time option, it doesn’t necessarily mean that you have to finish after 4 weeks. If you realize in the meantime that you need more time, you can work on the content later. We just want to enable you to finish the course faster if you have more time available.