Join us and apply for the "Women in Data" scholarship!

Secure 1 of 50 scholarships for the Data Analyst course.

The deadline for applications is June 10, 2021

Your opportunity
Although tech teams continue to grow, the percentage of women in STEM professions is only 15%. With the rapid advancement of technologies and increasing digitalization, huge amounts of data are created every day. This needs to be managed to drive business and innovation. We strongly believe that all women Рregardless of their financial status or background Рshould have the same opportunities to pursue a career as a data expert. 
Together,¬†StackFuel¬†and Telef√≥nica / o2 want to make a difference and encourage women* to start a¬†career in¬†data. To do so, we are awarding 50 scholarships for training to become a data analyst, worth a total of 150,000 euros. Let’s increase the percentage of women in tech and data jobs to at least 50% and make diversity the new standard. Only together can we create a world that is shaped equally by women and men.¬†
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Total Value
The scholarship

Learn the most important data analytics skills for the work of tomorrow

Hands-on & interactive learning

Learning by doing is our priority - 90% of our Women in Data scholarship are focused on interactive formats, real-world business cases and coding challenges.

A curriculum in a class of its own

Benefit from world-class advanced training to become a data analyst from a certified education provider and prepare optimally for the data jobs of today and tomorrow.

Mentoring & Career Tips

Our mentoring team will support you with valuable career tips and ensure your learning is successful from start to finish with numerous support options.
data experts

Meet our Women in Data and their paths to becoming a dream data analyst.

Data expertise has many facets.¬†It’s¬†as diverse as our¬†featured¬†Women in Data and their careers. These women have proven that role models¬†don’t¬†all¬†have to¬†look the same. The world of data is¬†colorful¬†and its¬†strength lies¬†in this versatility.¬†Learn more about their enthusiasm for data and why you too can become a data talent.
Laura's Journey
"People who motivate and support boys and girls early on are critical to getting them equally engaged in pursuing these all-important career fields." 
Rear Laura's Story
Yen's Journey
"Believe in yourself. And remember how much you've already accomplished. Then you'll realize what else you can achieve. Just take the first step." 
Read Yens's Story
Verena's Journey
"It is important to be visible and to make your voice heard in order to be involved in decisions. Sometimes it also just takes a bit of practice and courage."
Read Verena's Story
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Next
Laura's Journey
"People who motivate and support boys and girls early on are critical to getting them equally engaged in pursuing these all-important career fields." 
To laura's Story
Yen's Journey
"Believe in yourself. And remember how much you've already accomplished. Then you'll realize what else you can achieve. Just take the first step." 
To Yen's Story
Verena's Journey
"It is important to be visible and to make your voice heard in order to be involved in decisions. Sometimes it also just takes a bit of practice and courage."
To Verena's Story
Previous
Next
The course

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:¬†

Advantages for you

Why data analyst is the right job for you.

The demand for data analysts is high. By 2025, around 4 million data experts will be needed in Europe. And it’s a lucrative job. On average, a data analyst earns around 42,000 to 60,000 euros gross per year.

Attractive salary

Future-proof

Socially relevant

Communicative & Creative

Varied

Quick to learn with us

Application process
How to apply and get 1 of 50 scholarships.
You have until June 10, 2021 23:59 CEST to submit your application materials at the following link: Apply here.

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.

As soon as we receive your application documents, we will check and select all applicants in an objective selection process with a panel of several people. If we need additional documents or information from you afterwards, we will contact you. To learn more about this step, read our application criteria.
By June 21, 2021, we will contact you personally to let you know if you have won one of the 50 scholarships and clarify with you if you would still like to participate in the course. Please get back to us as soon as possible and within seven calendar days so that we can guarantee your scholarship place or another woman will get the chance to participate in the scholarship.
You will start your “Women in Data” scholarship online on July 5, 2021 together with the other 49 scholarship holders. Depending on how much time you can devote to the course each week, the course to become a data analyst will take between four weeks and four months.
Initiators

Get to know the people behind the scholarship.

Telefónica Deutschland / O2

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.

FAQ

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.¬†

Application

Take your chance and apply for a Women in Data scholarship!

Data analytics is arguably one of the most sought-after skills of the decade. In almost all departments, such as marketing or finance, we need experts who can perform data analyses. So far, women have been underrepresented in this field. Until now! Show the world you’re ready for the dream of a fulfilling data career and snag one of the 50 coveted “Women in Data” scholarships.