Software Engineering vs Data Science in Practice

In this video, I talk about the differences between software engineering and data science in practice.

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Resources mentioned in the video

From Joma Media

[mbyoutube]

Best comparison I’ve seen between the 2. I’m in college and now and stuck between software engineering and data science.

[mischievousachiever]

What the, just in time! Currently taking masters in SE while taking DS path online during weekends.

[arabiidir]

I still can't choose between them🥺

[zunnorain-shah]

Honestly one of the best explanations I've seen, for anyone requiring some guidance in choosing among the fields

[adamzheng]

For those who like to build solution straight after exploring the problems, got to knowing both, they're so called Data Engineering, DataOps, MLOps.. Somehow they form into a data product lifecycle.

[katon]

Very detailed comparison. Your analogies make it really easy to understand the similariities and difference between the two fields, and your experience helps a lot in helping people choose their path.

[uniforcestelian]

I used to be “an ML research engineer” which seemed to be mix of those two, based on your explanation. I developed deep learning models (tensorflow) and continuously increase the accuracy until our boss is satisfied, and then all we need to deliver is the tfmodel. And there are some other sw engineers who take that tfmodel and deploy it. I loved that role because the daily work involves reading a lot of icml cvpr papers and discuss which techniques we will apply.

[michaelcamp]

I recently graduated with a bachelor's in math, and am looking into either software engineering or data science/analytics as a potential career. I'm going to be taking some courses+certification programs at the local community college in Python development (I love Java, but Python seems like it would be more applicable for my current goals) and in SQL to better equip myself for entry-level work in these fields. Thanks for this informative video -- I definitely have a lot to think about! :)

[ibrahimandong]

I needed this video for a long time
thank you so much

[apexherbert]

I usually do not have ideas about how to build stuff though I am doing a part time as a software dev. I recently started learning data science and it seems i am understanding the concepts better than doing web related stuff. Maybe because it is python related or i might actually have an interest in it... I usually like playing around json files and csv files by getting the data i need and display them using numpy and pandas dataframes and so far it is cool.

[binry_dstructr]

I've spent the last six years of my career writing code to solve problems, but I'm not what you'd call a software engineer. I enjoy writing code as long as the problem gets solved. Thus, it's really hard for me to choose between software engineering and ML engineering. I'm very open to both routes.

[kaditya]

Perfect sorting of distinct nature of both fields, kinda feeling absolute clarity about my career choice I'm going to make!

[eurekad]

Very clearly explained and very useful for me as a new grad. Thank you!

[sebastianjimenez]

Really thank you for sharing the difference and your opinion of each one

[assermoussa]

@11:52 The summary right there. Thank you!

[KinzaSheikhOfficial]

The first two considerations make me a software engineer but the last one keeps me confused. I enjoy the merger of different fields! But I surely love building stuff and love coding. Especially when just few keyboard strokes enable me to build so many new things, that excites me a lot.

[chibuzochibuzo]

Wonderful breakdown. I choose data science. Thank you.

[susmitasagar]

from last two monts, i am soo confused between data science and software development. This comparsion gave me some solid insights.

[joshuabuoro]

thank you so much for this video, this has answered certain questions. i appreciate this.

[eversoncarvalholima]

Great video. I would love see your point of view about the data engineer field.