I like to build cool things, work with nice people and help others where I can. Currently I'm an engineering manager for a fintech startup and historically a serial founder & freelancer software dev.
Location
München, Deutschland 🇩🇪
Education
The Open University
Work
Engineering Manager @ Deutsche Fintech Solutions GmbH
I appreciate your answer and the time you took to think over it, from what you say, you have an advantageous position: A stable job and time to curate the skills you require looking forward.
In saying that, I have the inkling that you are looking, as you said, at a data analytics/science role. Should my impression be correct, I would recommend you look up some of the following, especially python and SQL topics:
SQL
Python
Haskell
R
These, from my experience are the primary technologies used in data analytics/science roles from the data science people I have worked alongside in my career at least.
I would also recommend the following data/database focused courses on Udemy:
I have personally taken just over half of these courses and the other ones are from instructors I like to "go to". Udemy is generally cheap and yeah, you get out what you give in as it is a different kind of education than being in a classroom but for me, I like this way of learning.
Lastly, let me say this: Always be learning, always challenge your biases and always push out of your comfort zone, with software being how it is nowadays, its always nice to push out of your 'niche' once in a while to be able to pivot if the worst comes to the worst. Stick with what you're doing, learn as much as you can in your free time and around work and push in the direction you want to go. Finally, try going to some meetups on topics that interest you, I personally use Meetup to find meetups near me, usually there is free food/drink and a chance to mingle with other people interested in the topic of the meetup and of course, presentations and talks in between.
All the best and hopefully this helped, however, if I have went off course or misunderstood your intentions with where you want to go, let me know, I am not infallible after all. Otherwise, I hope these courses/hints help you on your journey.
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Hi again Herb,
I appreciate your answer and the time you took to think over it, from what you say, you have an advantageous position: A stable job and time to curate the skills you require looking forward.
In saying that, I have the inkling that you are looking, as you said, at a data analytics/science role. Should my impression be correct, I would recommend you look up some of the following, especially python and SQL topics:
These, from my experience are the primary technologies used in data analytics/science roles from the data science people I have worked alongside in my career at least.
I would also recommend the following data/database focused courses on Udemy:
I have personally taken just over half of these courses and the other ones are from instructors I like to "go to". Udemy is generally cheap and yeah, you get out what you give in as it is a different kind of education than being in a classroom but for me, I like this way of learning.
I would also recommend this article: 8 Essential Tips for People starting a Career in Data Science
Lastly, let me say this: Always be learning, always challenge your biases and always push out of your comfort zone, with software being how it is nowadays, its always nice to push out of your 'niche' once in a while to be able to pivot if the worst comes to the worst. Stick with what you're doing, learn as much as you can in your free time and around work and push in the direction you want to go. Finally, try going to some meetups on topics that interest you, I personally use Meetup to find meetups near me, usually there is free food/drink and a chance to mingle with other people interested in the topic of the meetup and of course, presentations and talks in between.
All the best and hopefully this helped, however, if I have went off course or misunderstood your intentions with where you want to go, let me know, I am not infallible after all. Otherwise, I hope these courses/hints help you on your journey.