I am a fresher working as a Data analyst in a growing startup. My current role doesn't include much of coding just python and SQL and sometimes little bit ML work. Currently handling 2 projects, and some of PM work to define some roadmaps. I like engineering and coding in whole and want to know more. So do I switch to some SDE role or is there are more paths after Data analytics? I know ML, DL and NLP but not sure will it be a great choice to make career primarily in Data science. So, I am little confused. Please give all good advices.
Thanks A curious Engineer
If you like coding then you can try looking into data engineering. It's a solid domain with tons of opportunities and is easier to switch to sde roles compared to core data science roles.
Also suggest data engineering resources or technologies on which I start to work. Dunno much about data engineering domain as only established orgs gonna have these divisions.
Get very good at manipulating data using SQL and Python. And then have get some good hands-on knowledge on SPARK ( Spark with python and SQL) When you get a good grasp on the above, next thing you need to know is Data Engineering in anyone of the cloud computing platforms. Azure/AWS/GCP. I suggest go with Azure or AWS as the demand for experience in them is high compared to GCP.
I'd suggest you to take up some courses in data engineering. Linux, pyspark, docker, kubernetes, ansible, terraform.
Data science is still a luxury. Data engineering is a necessity.
Thanks buddy, Will start to look into it.
Let's where magic of engineering takes us.
If possible add more details if you got so in free time
Hey everyone, happy to answer any questions around Data Science/ML/AI and making a career within it
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