Questions tagged [management]
The management tag has no usage guidance.
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Which statistical technique should I use for a within-person repeated measures study?
I have collected all my data for a study and need to run my analysis but have come unstuck (I should have planned better beforehand I know).
I'm looking to see whether personality traits (five trait ...
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Merging data approach in Data Science projects
This is more of an infrastructural question about data science. How would you manage data merging in your GitHub repository?
As an example, as a data scientist I might be working on my branch and ...
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How do you do data management?
I have about a few million records (small CSV / JSON file) from different sources, with about 50k added everyday. All on my local host.
Until now, I have been using simple file structure to manage ...
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Working with others: Tidy data vs Pretty data [closed]
When working with someone whose background and skill level in data work may not be strong, how do you best make the argument for tidy data over "pretty" data?
There are notes of what I want ...
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Tools for project management Data Science
I'm in charge of a small data science team (3 data scientists, me included). We do our projects with at least one business person (PM) per project ( we have 5 of these).
We managed everything with ...
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Multiple models in the same notebook
Having working on data sets, sometimes we want to keep track of mtiple models with different architectures which work on the same data set on which we have made some transformations and preprecessing ...
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Do you think it's normal for data science projects to have some amount of "what should we do" -time? Or does it mitigate by experience?
Do you think it's normal for data science projects to have some amount of "what should we do" -time? Or does it mitigate by experience?
By "what should we do" -time I refer to time being spent on ...
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Which are the strategies to counter the 80/20 dilema in Data Science projects?
Most of the time in Data Science projects is not spent in (performing) actual analytics but rather in other tasks, such as organizing data sources, collecting samples and preparing datasets, compiling ...
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Best practices for scaling data science / engineering teams
I am trying to find best practices for scaling data science teams, i.e find an efficient workflow/methodology to divide work between Software Engineers and Researchers working on a same product.
I’...
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Keep track of trainings, datasets eetc
After searching quite some time for it on Google I could not find a sufficient software/toolbox that can manage trainings of neural networks. I thought of a program that combines visualization ...
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How to build a data analysis pipeline procedure
I have a series of scripts. Some are in R, some in Python, and others in SAS. I have built them in such a way that one code outputs a .csv file that the next code obtains and then that code outputs a ....
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How do you avoid 'analysis paralysis' when choosing a method to implement?
When you have multiple methods to accomplish a task, how do you choose which one to implement?
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How clustering is used in data management? [closed]
Can anyone please tell me how is clustering is used in data management?
I was recently asked this question and was left totally stumped.
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What tools to manage multiple machine learning projects in python do you use?
I will soon deal with multiple projects in python. Some of them have to run regularly (many times a day), they can take some time (many days) and they use/produce some data coming from and going to ...
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