Hello Mandy, I enjoyed reading your article thorougly. Thank you for sharing insights on which skills are valuable. I am someone in the tech industry aspiring to pivot to the field of Data Science, but I was clueless on where and how to start, so this helped me in figuring out my first steps.
Question for you:
You didn't mentioned database knowledge in this article. How important is it to have knowledge of GCP, AWS for a data science role?
Hi Jasper! Thanks for your feedback and I'm glad you found the article helpful. From personal experience, GCP and AWS weren't critical. Note that I was in the product data science base. If you share more details about what DS roles you are looking for, I might be able to provide more specific guidance. As the DS field has diverged a lot over the years
Hi Mandy, Thanks for your reply! I'm still exploring the Data Science field. Ideally, I'm looking for a Data Scientist role, but I'm also open to Data Engineer positions. Currently, I'm transitioning from a Software QA role and trying to get a foot into a data-focused role.
I'm very interested in NLP roles at the moment, is that something you might have experience on? Any guidance or insights you can share would be really appreciated!
For requirements of each role, my recommendation is to go on FANNG company websites and get their job postings on each role. I find bigger companies' requirement tend to be more clear and universal, while smaller companies vary a lot, and some tend to pack all the kills in a job posting, hoping to keyword match, even when some skills are not needed
The best part I liked in the article was Bonus part' what not to focus'. Ofcourse yes: very few people talk about this part.
Glad it’s helpful!
Thanks for sharing 😊
This is so useful Mandy! Well researched and straightforward, I love it! Thankyou for sharing this!
❤️
Thanks for sharing Mandy!
This is amazing ! Thank you for sharing :)
Thanks Mandy, I like how you included how and where to learn each skill. Really insightful.
I am glad SQL is still so relevant, it's most of what I do, thanks for all the resources to learn more, that's so helpful
People have been saying SQL will get replaced for years, but it is still KING in 2024
In recent podcast of Chip Huyen with the creator of Pandas , he advised to learn SQL.
Yes I remember seeing his insights pop up on my LinkedIn feed. This just shows again that SQL is still a fundamental skill in a data career
If it's good enough for Chip Huyen, it's good enough for me
I'm learning SQL now, I'm quite Solid with python. Other skills highlighted here would follow.
great to hear it! Hope you find some of the learning resources helpful on your SQL journey
Hello Mandy, I enjoyed reading your article thorougly. Thank you for sharing insights on which skills are valuable. I am someone in the tech industry aspiring to pivot to the field of Data Science, but I was clueless on where and how to start, so this helped me in figuring out my first steps.
Question for you:
You didn't mentioned database knowledge in this article. How important is it to have knowledge of GCP, AWS for a data science role?
Hi Jasper! Thanks for your feedback and I'm glad you found the article helpful. From personal experience, GCP and AWS weren't critical. Note that I was in the product data science base. If you share more details about what DS roles you are looking for, I might be able to provide more specific guidance. As the DS field has diverged a lot over the years
Hi Mandy, Thanks for your reply! I'm still exploring the Data Science field. Ideally, I'm looking for a Data Scientist role, but I'm also open to Data Engineer positions. Currently, I'm transitioning from a Software QA role and trying to get a foot into a data-focused role.
I'm very interested in NLP roles at the moment, is that something you might have experience on? Any guidance or insights you can share would be really appreciated!
Thank you Mandy.
For requirements of each role, my recommendation is to go on FANNG company websites and get their job postings on each role. I find bigger companies' requirement tend to be more clear and universal, while smaller companies vary a lot, and some tend to pack all the kills in a job posting, hoping to keyword match, even when some skills are not needed