So, you’ve decided you want to be #datascientist.
If you’re like me, navigating the #datascience landscape of different terminology, courses, and misconceptions about the discipline, itself, can be overwhelming. When you get distracted or worried about trying to keep up with everyone else, it becomes even more daunting.
We all come from unique backgrounds and are in different places on our #datasciencejourney. If you find yourself getting frustrated, pause, take a deep breath, and:
1. Level-set on your goals. Remind yourself what you really want to accomplish and / or where you hope to be in the future.
2. Take stock of where you are at right now and where you have been. Determine the gaps, and come up with a plan to fill them.
3. Stop worrying about how many / what types of certifications, degrees, courses, skills, and / or jobs everyone else has. Focus on you!
4. Remember life is a marathon, NOT a sprint. Celebrate quick-wins, but be patient with yourself. Enjoy the journey.
As a natural competitor, this has been one of the hardest lessons I’ve had to learn, and I still struggle.
What other advice would you give to those that are new to #datascience and / or people who have had some experience with data, but want to make the leap to #datascientist?
I'd like to add 'Specify where you want to go'.
There are so many different 'data scientists' from data analyst to deep learning engineers. So Be more specific in what field you want to go in, not being a generalist. Highly recommend this article by Jeremie Harris
https://towardsdatascience.com/why-you-shouldnt-be-a-data-science-generalist-f69ea37cdd2c
If you like our channel, i invite you to share it with your friends
🗣 @AI_Python_Arxiv
✴️ @AI_Python_EN
If you’re like me, navigating the #datascience landscape of different terminology, courses, and misconceptions about the discipline, itself, can be overwhelming. When you get distracted or worried about trying to keep up with everyone else, it becomes even more daunting.
We all come from unique backgrounds and are in different places on our #datasciencejourney. If you find yourself getting frustrated, pause, take a deep breath, and:
1. Level-set on your goals. Remind yourself what you really want to accomplish and / or where you hope to be in the future.
2. Take stock of where you are at right now and where you have been. Determine the gaps, and come up with a plan to fill them.
3. Stop worrying about how many / what types of certifications, degrees, courses, skills, and / or jobs everyone else has. Focus on you!
4. Remember life is a marathon, NOT a sprint. Celebrate quick-wins, but be patient with yourself. Enjoy the journey.
As a natural competitor, this has been one of the hardest lessons I’ve had to learn, and I still struggle.
What other advice would you give to those that are new to #datascience and / or people who have had some experience with data, but want to make the leap to #datascientist?
I'd like to add 'Specify where you want to go'.
There are so many different 'data scientists' from data analyst to deep learning engineers. So Be more specific in what field you want to go in, not being a generalist. Highly recommend this article by Jeremie Harris
https://towardsdatascience.com/why-you-shouldnt-be-a-data-science-generalist-f69ea37cdd2c
If you like our channel, i invite you to share it with your friends
🗣 @AI_Python_Arxiv
✴️ @AI_Python_EN