I only have about a year's experience in a "sales-based" organization. Like an organization where all of our products are sold on a commission basis the process moving through a pipeline of leads, opportunities win/loose type of thing. With my strong data modeling and visualization background, when they ask, "are the sales managers doing this?" I got...

I’ve seen a number of “forecasting” data scientist positions online. The descriptions often demand skill sets in statistics relating to time series analysis, forecasting, and productionizing them. For any forecasting data scientist here, could you talk about what you do on a day to day basis? submitted by /u/Direct-Touch469 [link] [comments]

I am thinking of putting together an outline that represents a good way to go from beginner to expert in NLP. Feel like I have most of it done but there is always room for improvement. Without writing a book, I want the guide to take someone who has basic programming skills, and get them to the point where they are utilizing open-source, large language...

I work as a data analyst doing ad hocs and daily/weekly reports. I use SQL to extract the data but other than that it's all manual in excel, they have no interest in powerBI or R. They won't let me use power query or macros/VBA. I did a lot of R in my masters and I did courses on statistics, like linear regression and different parametric and non parametric...

Hi, the title is my experience in data science in summary, I posted here a while ago about book’s recommendations and you guys mentioned two important books that I am done with now ( hands on ml and statistical learning) Where should I go next? What are other business concepts and thinking and technical tools I should learn? I know nothing about cloud...

Just out of curiosity, how does one verify the legitimacy of a clustering algorithm on an n-dimensional input space? Assuming n > 3 submitted by /u/sARUcasm [link] [comments]