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Considering a Career Change to Data Science? Prepare Yourself for These Key Challenges
Transitioning to a career in data science can be an exciting and rewarding journey. I’ve done it a couple of years ago and it seems that the popularity of Data Science has only increased! However, it’s not without its challenges (especially if you’re transitioning from a non-IT background). From the steep learning curve to imposter syndrome, aspiring data scientists often face various obstacles along the way. Before taking the plunge into a career in data science, it’s important to understand and prepare for the challenges that lie ahead.
This article aims to shed light on the key challenges that individuals considering a career change to data science need to be aware of and ready to face. If you’re already in the process of changing your career and are ready to apply for your first Data Science job, make sure to check out my other article where I share 8 hacks that helped me get my first DS job. By gaining insights into challenges upfront, you can make informed decisions, acquire the necessary skills, and develop strategies to overcome the hurdles that may arise along your journey. So, whether you come from a different technical domain or have a non-technical background, read on to discover the challenges awaiting aspiring data scientists and how to navigate them successfully!
