linkerzx

9 ms·

31.
by linkerzx 7y ago
Feels like I am 5 years old again!
32.
by linkerzx 7y ago
"Colab is still a relatively closed environment; at one point, I wanted to add a Python package and couldn't" - quite a big drawback for a data-science tool. CoCalc seems interesting though.
33.
by linkerzx 7y ago
CASE statements work with most if not all SQL dialects, some dialects such as MySQL support on top of that IF statements directly: https://dev.mysql.com/doc/refman/8.0/en/if.html
34.
by linkerzx 7y ago
There is no issue hiring juniors, they have a lot to learn and they should be coached through it for sure. That mid level, help coach juniors, is also not an issue. But I would rather hire a junior analyst or a junior engineer than a junior
35.
by linkerzx 7y ago
You can have junior position for everything, so long as you revise your expectations. A lot of firm, rebrand analysts jobs to be junior data-scientists position to essentially attract candidates, so yeah you can be "junior" at it,
36.
by linkerzx 7y ago
"Junior anything needs a lot of supervision, it's probably the defining trait of a junior." - yes, but I would argue that junior data-scientists requires much more supervision than the same person doing a junior analyst or en
37.
by linkerzx 7y ago
"The degree should get you to a point where you can actually learn the job." I think the question there is "how fast"? "You hire juniors and give them as much work as they can do with supervision." - Agree to a
38.
by linkerzx 7y ago
It's a job you grow into by not working at the job.: Agreed! There are quite a few paths which makes it easy to grow into, such as analyst or data/software engineer. There is however a mismatch of expectation that you can just sta
39.
by linkerzx 7y ago
Did You read the article fully, before going ad hominem?
40.
by linkerzx 7y ago
Frankly the issue is more that a lot of them are dreaming of a position that they are not ready for, and want that from the get go. They are generally ill equipped, but do not regard position such as analyst and engineers which would give t
41.
by linkerzx 7y ago
One or two try/except is usually fine, but when you are nesting 3+ more try/except with the same error, the code becomes quickly unreadable. Often you would be better off having a first look at the input to figure out which case y
42.
by linkerzx 7y ago
Hey - I am not saying not to hire or train junior people, rather hire them as analyst or data-engineer. There is much less of learning gap in these positions, and from there they should have a path forward to a data-scientist position. This
43.
by linkerzx 7y ago
There is always some exception to the rule. Frankly the issue is more the number of topics one needs to learn to actually add value as a data-scientist. Junior data scientists need a hell lot of supervision compared to analysts or data-engi
44.
I don’t hire Junior data-scientists(medium.com)
31 points by linkerzx 7y ago|27 comments
45.
The Complexity of Implementing Google Analytics(medium.com)
3 points by linkerzx 7y ago|0 comments
46.
CDPs and DMPs a Story of Advertising Platforms(medium.com)
2 points by linkerzx 7y ago|0 comments
47.
How to collect the data you need to bootstrap your digital marketing analytics(medium.com)
2 points by linkerzx 7y ago|0 comments
48.
Benefits to Using Airflow(medium.com)
2 points by linkerzx 7y ago|0 comments
49.
Considerations to have when using Airflow(medium.com)
3 points by linkerzx 7y ago|0 comments
50.
Python Screening Interview Question for DataScientists(medium.com)
2 points by linkerzx 7y ago|0 comments
51.
Role of Data Organization in a Business(medium.com)
2 points by linkerzx 7y ago|0 comments
52.
Become a Pro at Pandas, Python’s Data Manipulation Library(medium.com)
3 points by linkerzx 7y ago|0 comments
53.
New Roles of Analytics – The Data Product Owner and Analytics Translator(medium.com)
3 points by linkerzx 7y ago|0 comments
54.
Overview of the different approaches to putting ML models in production(medium.com)
1 points by linkerzx 7y ago|0 comments
55.
Setting Up Airflow on Azure and Connecting to MS SQL Server(medium.com)
3 points by linkerzx 8y ago|0 comments
56.
Overview of Efficiency Concepts in Big Data Engineering(medium.com)
5 points by linkerzx 8y ago|0 comments
57.
What Should Be the Analytics Organization Structure?(medium.com)
1 points by linkerzx 8y ago|0 comments
58.
You work in Analytics? What do you do?(medium.com)
1 points by linkerzx 8y ago|0 comments
59.
Domains of Ecommerce Data Strategy(medium.com)
5 points by linkerzx 8y ago|0 comments
60.
The death of data-scientists(medium.com)
4 points by linkerzx 8y ago|0 comments

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