Why coding skills are not enough or how can I work as a data analyst

15 April 2024

EN why coding skills are not enough or how can I work as a data analyst

If you ever googled ‘Why coding skills are not enough’ or you would like to know how can I work as a data analyst, this article is for you.

When I first started, the world looked a bit different, and if I could, I certainly would make different decisions regarding my career path. Today, I’d like to share with you some thoughts on how to work as a data analyst and why coding skills are not enough.

The importance of technical skills

First and foremost, technical skills are undoubtedly the foundation of working in IT, particularly in data analysis. SQL, Excel, and data visualization tools like Tableau or Power BI, are tools that every beginner should know. I spent years delving into Excel, but today, I would focus more on SQL and data visualization. These are now at the forefront of job offers.

But that’s not all…

But working in IT is not just about technical skills. Equally, if not more important, are other aspects that can determine our professional success. Here’s what else matters:

Building a network

One of the most important lessons I’ve learned is that you can’t underestimate the value of building a network. LinkedIn has become a tool for me not just to present my professional profile but also to establish new, key relationships. Searching daily for people with whom I could connect opened doors for me that I didn’t even know existed.

Learning in a community

Another important thing I’d change in my approach is learning within a community. Locking yourself up for solo learning and adopting a “me against the world” attitude is not a path I recommend. Participating in forums, groups, or industry events, both online and offline, opens us to new opportunities, allows for the exchange of experiences, and learning from others.

Practice and personal projects

Nor can we forget about practice. Theory is one thing, but it is working on your own projects that really allows you to understand data analysis. Collecting your own data, experimenting with various data sets from the internet or Kaggle, are practices that actually teach us the most.

Attitude and mindset

Lastly, I’d like to emphasize how important the right approach is. The world of IT and data analysis is fascinating, but it requires continuous development, openness to new challenges, and constant learning. Participation in community life, active use of tools like LinkedIn, and working on your own projects are elements that will help every beginner find their place in IT.

In summary, the path to IT is not just about learning technical skills. It’s also about building networks, learning in a community, practicing, and having the right mindset. I hope my experiences and advice prove helpful to you. Remember, each of us has a different starting point and our own path to success. I’m rooting for you!

Other interesting articles:

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That’s all on this topic. Analyze in peace!

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