Wie vernetzt man sich als Student am besten im Bereich Data Analytics?

Join data analytics clubs or groups at your university. Attend industry conferences and workshops. Participate in online forums and social media groups. Collaborate on projects or competitions. Connect with professionals through LinkedIn. Seek internships and mentorship opportunities.

Grupos de WhatsApp, Slack, Discord também são úteis quando as pessoas estão focadas em discutir sobre um determinado tema. No Sympla, existem muitos eventos gratuitos e pagos, presenciais e onlines que você pode participar. Além disso, existem comunidades de cada linguagem de programação com pessoas disponíveis para dúvidas e mentorias.

As a speaker, I advise students to expand their network during their studies. While they already have a network associated with their school and personal connections, they can enhance it by participating in events. For students in data analysis, attending events such as hackathons or meetups provides an opportunity to meet professionals, learn from their experiences, and build connections. No need for business cards—maintain a professional LinkedIn profile. If you want to get to know someone better, drop them a message on LinkedIn a few days later. Tell them you enjoyed connecting and ask a real question—one that gets into their thoughts and experiences.

I have found after attending courses and business rich events, talking to anybody can allow growth and future development in knowledge. I have found forums like this on LinkedIn or even university websites that offer courses are amazing with networking and keeping discussions topical. Having a direct topic to converse on to start with is always a good ice breaker to get comfortable with others and then engage further.

Si el networking no te facilita tu universidad, no es excusa para no realizarlo, asiste a eventos, únete a grupos de WhatsApp, Slack, sigue hashtags sobre el tema que más te llame la atención, así, irás generando esta red de contactos que te pueden salvar de un deber, apoyar en tu vida profesional y ser tu mejor aliado en momentos decisivos.

Instead of directly asking someone to be your mentor, engage in conversations by connecting their experience with your career choices. Ask questions every time you have think it's relevant for your career. Building lasting relationships with mentors online is viable. - Kaggle for technical mentors - LinkedIn for career-oriented mentorship. Leverage online resources to your advantage :)

Find mentors that you can relate to. There are lots of people out there that can help butyou have to be able to understand where they journey began. For example: If you are self learning data analysis, find a mentor that is already working as a data analyst that was also self taught. In that way, you can relate and gain confidence.

LinkedIn is a powerful platform to raise your voice. Like, connect and engage in others posts. Create polls and involve people to engage with your posts. In that way you gain exposure.

Participate in hackaton and have small group projects. Find an interesting project and collab with your peers. Ask for help on linkedin and share your project journey.