Reddit Posts and Subreddits About Data Science You Should Read
Unlock the Power of Reddit: A Goldmine for Data Science and Python Resources
Did you know that Reddit is one of the top 50 most-visited websites in the world? For data scientists, it’s not just about memes and news; it’s an invaluable resource for professional development and staying ahead of the curve in the industry.
The digital landscape is shifting. As a data scientist, you can’t afford to be complacent. Reddit offers a real-time pulse on the industry, where you can learn new tools, and network with like-minded professionals.
In this article, I’ll delve into why Reddit deserves a spot in your daily routine. From understanding what it’s like to work at a FAANG company to deciphering the maze of entry-level positions, I’ll guide you through the posts.
Why Reddit Matters for Data Scientists?
Did you hear about the data scientist who quit his job? He said he found it too “mean” but not enough of a “mode” for him. Bad jokes aside, let’s dive into why Reddit is indispensable for data scientists.
So let’s get started by analyzing top reddits, I’ve came across.
Top Reddits
How is it to working at FAANG’s company as a data scientist?
When I saw that post wow, it really is an amazing opportunity to ask a data scientist that have a that substantial amount of high-level experience.Especially for the ones, who wants to work at FAANG’s
( Facebook-Apple-Amazon-Netflix-Google)
I’ve worked at 3 different FAANGs as a data scientist. Google, Facebook and I’ll keep the third one private for anonymity. I now manage a team. I see a lot of activity on this subreddit, happy to answer any questions people might have about working in Big Tech.
Here is the link to read the rest and the answer of the above question : https://www.reddit.com/r/datascience/comments/16ghd30/ama_im_a_data_science_manager_in_faang/
Data Analyst Applicants Data
This information on the graph below shows the applicants;
- Seniority Level
- Educational Level
I believe, sometimes the job description contradicts in between, what am I saying? Let’s check the next one.
Entry Level Data Scientist
It looks like this company is seeking an entry level data scientist.
However it looks like they got confused, because in the second page of this job description, it is said that they were seeking 4 years of experience.
If entry level data scientist should have 4 years of professional experience, where they should start?
New job description title Suggestion for this kind of job description, New Born Data Scientist. Here is the New Born Data Scientist article.
Subreddits
Wait, What? Not All Subreddits Are Created Equal?
You’d think a platform as democratic as Reddit would offer equal value across all its subreddits, right?
Wrong. Just like every rose has its thorns, not all subreddits are blooming with wisdom. Some can be a treasure trove of knowledge, while others might just leave you scratching your head.
The Good, the Bad, and the Ugly
Let’s start with the good ones. If you’re a data science enthusiast, places like /r/datascience, /r/MachineLearning, and /r/Python can be like Narnia — a magical realm full of expert insights, helpful tutorials, and thought-provoking discussions.
Now for the bad: beware of subreddits that make bold claims but lack credible sources.
Lastly, the ugly. We’ve all stumbled upon forums that are like the Wild West,anything goes. While entertaining, they’re not going to further your understanding of data science.
Conclusion
In this article, we’ve explored why Reddit is not just a social media platform but a vital resource for data scientists. Reddit offers an expansive range of benefits.
We’ve went into various aspects that make Reddit unique, such as the range of topics discussed, the breadth of knowledge available, and the immediate applicability of the advice and insights gained.
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Here is the source code of the “Decision Tree in Energy Efficiency Analysis” data project.
Here is the source code of the “DataDrivenInvestor 2022 Articles Analysis” data project.
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