tmoska

We are not connected to the family of Alan Turing in any way. I'll refer you to our blog post [1], where we talk about why we take inspiration from Turing.

[1] https://blog.turingcollege.com/turing-college-and-the-man-be...

Everyone surely has the right to fail projects & work on their improvements - that's a large part of learning. To clarify Lukas' point, we are constantly in contact with every single of our students and are making sure that Turing College is bringing value to them. In cases when students are progressing extremely slowly because of some factors, we have a process through which we inform students of our concerns and start having more 1on1s to help & support them.

The reason we are doing this is that at a certain point knowledge starts to "fade away" and even if you are in the middle of a course, you might start forgetting things you learned at the start of it. That said, self-paced learning is unfortunately not something that works for everybody. Our students get to try it out in our admissions process & demo month[1] to cancel free of charge before they commit.

[1] https://www.turingcollege.com/faq/what-is-the-demo-period-an...

We are hiring industry experts (we call them Senior Team Leads) to consult and help our students. They are not teachers in a traditional sense, since they are not running daily classes. You can read more about their role in our blog [1]. We're constantly looking for more mentors and if you know anyone who'd be interested - we would be happy to talk to them!

[1] https://blog.turingcollege.com/senior-team-leads-at-turing-c...

That's completely true. Companies contribute to our curriculum by co-creating projects. We work together with them to create these projects and are heavily involved in this process to assure quality.

Reasons we have this are: 1. For students it's a great way to see what tech stack is the company using and what problems they are solving.

2. For companies, each coming-in student has a "technical interview" already completed and a lot more context about the company.

Great questions! I’ll go through them one by one:

1. You are correct to say that our pricing reflects the European market and is naturally different from schools in other markets. In addition to that, we are a self-paced school and have no actual classes happening (work-like learning). Our students get projects via our platform, attend daily standups and receive (from mentors & peers) & do (to peers) code reviews. This means we have no full-time teaching staff, and that’s a huge cost-saver. Instead, we spend more effort on our underlying tech & mentors, which results in a lower variable cost per student. Important to note that even though there are no classes, our students still receive a lot of contact hours with industry experts through code reviews, help sessions, standups, etc. These hours are focused on helping our students (2-way), not teaching them (1-way) - just like you would have it in any workplace.

2. We don’t have plans to resell ISAs. We see ways to be a successful school without taking this path.

3. We believe in being focused, and Data Science[1] will continue to be our main focus. We do not plan to start any courses in other fields.

4. Our mentors (Senior Team Leads) team is hired by Turing College and is paid by the hour. We do have agreements with each of them about their weekly involvement and each of them is managing their time themselves. Because of our education model, STLs don’t have to always be available at specific hours. They mark themselves available at specific hours and we have ways to assure consistent availability coverage for help & code reviews. Because of this, our students can get code reviews any time of the week, including weekends. As for students who require more attention, that’s completely fine, and they receive help from our staff, mentors, and other peers.

[1] https://blog.turingcollege.com/data-science-job-roles-explai...

Thanks for your question!

A good example is Dovydas Čeilutka, our Lead of Data Science, next to being ML team lead at Vinted (2nd hand clothing marketplace, valued at $4.5b), he is the President of the Artificial Intelligence Association of Lithuania and a founder of Tribe of AI, artificial intelligence learning community in Lithuania.

While Dovydas is well respected in the Baltics, we are in the progress of bringing more Data Science industry experts from global markets.

Another way we are making sure our quality is great, is by working closely with companies (Hiring Partners) by co-creating and integrating their projects into our curriculum. This assures that whatever projects our learners are working on are relevant to the market & companies they might eventually work at.