Having a team of almost 200 mentors can come in handy when you are looking for a great set of resources. We asked our community: Which are your favourite web development courses – and they replied. Here are some of our favourite picks.
The internet is filled with technical resources that help beginners pick up a new topic, and Machine Learning is no exception there. It’s filled so much, it’s hard to distinguish good resources from bad, and create a good roadmap of resources. We’ve put together a list of resources for your first step in ML together with our mentors, and are excited to share it.
Entering a new industry can be daunting, especially coming from other – often times more traditional – industries. As an industry that is often reliant on references and experience, it can also be hard to get started as a career changer. Some good things to know for fols doing the switch this year anyways.
At MentorCruise, we do our best to connect people in need of some guidance with a suiting mentor for a longterm professional relationship. In fact, this year we increased our average mentorship length from 30 to 50 days. That’s a small success, but we know that it can be better.
We help people reach new levels in their careers, and we support the landscape of other services that allow people to learn enough applicable skills to do what they truly love. Today we take a look at RookieUp, an online career development service that is centred around mentorship.
Aaron has two decades of experience in the tech world, so in 2019, when he decided that he wanted to give back, his choice fell onto MentorCruise. Having mentorship experiences from past positions and experiences, he fit right into the mold. A perfect fit, how it turned out!
SharpestMinds is providing a clear path for a career change into Data Science, guided by a 1-on-1 mentor. With Data Science being one of the most demanded jobs on the market today, the popularity of the skill is growing. Indeed, the most popular search terms on MentorCruise today are Data Science and Machine Learning. So what do we do differently?