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Best ways to integrate GPT outputs into structured pipelines for reporting ?
For those using OpenAI APIs for business data tasks, what are the most effective ways you’ve integrated GPT outputs into structured pipelines (for reporting, summarization, or classification)?
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What are tools that can enhance my data science knowledge and help me build career in 2025
I am looking for help from community people who can guide me with tools and sources to learn them so that I can exponentially build my career in data science role. The job can be...
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How do I get into freelance data analytics and what are the best places to start?
I've been job hunting since graduating last year with no luck. I’m self-supporting and nearly out of funds, even after selling personal items. I'm now exploring freelancing to earn whatever I can to cover essentials...
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How much statistics you need to know as a data analyst?
I am planning to learn data analytics and i got overwhelmed by all the information at the internet so I am asking here how much statistics do you need and what are those you actually...
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Which OpenAI tools are helping automate your data tasks?
Exploring how GPT-4 and other OpenAI APIs could help automate mundane tasks like report generation, cleaning, summarization, etc. Any cool examples of how you’ve used them in your data workflow?
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Do you prefer heavy data transformations during early ETL or later in modelling? Why?
I'm exploring best practices in designing data pipelines and want to understand how different teams handle computationally intensive transformations. Some advocate for doing it early during ETL to keep models clean and fast, while others...
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How to address feature correlation and multicollinearity during exploratory data analysis?
What techniques do you use to detect and address feature correlation and multicollinearity during exploratory data analysis (EDA) to ensure model performance and interpretability?
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What frameworks or methods do you use to ensure that data visualizations are actionable ?
In a world flooded with dashboards and data charts, not all visualizations lead to action. Sometimes, they look good but don’t help decision-makers understand what to do next. That’s why I’m curious, when you create...
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What’s your approach to designing self-explanatory reports for non-technical stakeholders?
I want to know how you ensure that complex technical data, analyses, or results are presented in a way that someone without a technical background can quickly grasp. It’s about your choices regarding layout, language,...
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How often you update feature engineering after deployment to handle data drift in ML ?
In your machine learning projects, once a model is deployed, how often do you revisit and adjust the feature engineering process to address issues caused by data drift?What indicators or monitoring strategies help you decide...
Nellabh
Projects PX
Arindam
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Business Intelligence or Artificial intelligence or both?
I am a new graduate and I am thinking whether to get into business intelligence profile or Artificial intelligence? I did read up on google. Is business intelligence stepping stone to world of data?
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Is MS Excel still in the game of reporting?
I am an experienced data analyst using MS Excel for years with VBA expertise. Do you think I should continue creating dashboards for it or learn one of these fancy tools of today? If yes,...
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Model is failing in spite of continuous training.
How and what can I do to train my model. My sample population doesn't seem to work. My inputs don't change that often.
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What is the best way to collect the data?
I have tried my best to collect data from surveys, questionnaire, interviews and group discussions. What else can be my choice? I follow the above model. Please suggest a better framework to better represent the...
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Curious to know, what are the best tools on visualization in the market?
Have you used tools like Domo, Looker or Birst? Are these worth it according to you?
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How to optimize steps in pentaho?
The current transformation does not run fast enough. The work is done but it takes longer than expected causing delays in the report generation. Any tips will help.
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Difference between analytics and analysis?
I am not from data background I am curious to know what really is the difference from the professionals, not the bookish definition of it.
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Analyst role in the companies
I have heard of data analysts who handle different set of things for different companies. A data analyst could be a data engineer or a data scientists or just into data analysis. What do you...
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R Web scraping issue
I am trying to enter keywords in a search field on a web page through R. Firstly I access link in R, use selector gadget to select the search field, extract keyword from list in...
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SQL – Recommendation needed
Hey guys, I’m currently studying Data Analytics and I’ve finally started writing SQL queries! Any recommendations for structured SQL learning?
PangaeX
MJ
Wrapo Biz
NA_analytics
Razrap
Rajesh_Vincent
Sameer Barari
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Business Intelligence or Artificial intelligence or both?
I am a new graduate and I am thinking whether to get into business intelligence profile or Artificial intelligence? I did read up on google. Is business intelligence stepping stone to world of data?
-
Is MS Excel still in the game of reporting?
I am an experienced data analyst using MS Excel for years with VBA expertise. Do you think I should continue creating dashboards for it or learn one of these fancy tools of today? If yes,...
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Seeking Power BI Consultants/Freelancers for Partner Opportunities
Hi Folks- I recently launched a data platform designed for non-technical users. It's a simple data hub for structuring, sharing, and collecting data. Other nice features: better data governance through reporting, data catalog, and sharing...
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Is data mining redundant now? Or are there still data miners out there?
Data mining is often described as the process of discovering patterns, correlations, and trends within large datasets to generate actionable insights. But in today’s context—where data is abundant and growing exponentially—how do we ensure that...
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Difference between analytics and analysis?
I am not from data background I am curious to know what really is the difference from the professionals, not the bookish definition of it.
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Barbershop & Salon Data Engineering
Hi Data World, Im a new business owner , and have opened up my barbershop for 4 months now. I have been in the industry for 15 years, and realize the power of data. How...
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What is the best way to collect the data?
I have tried my best to collect data from surveys, questionnaire, interviews and group discussions. What else can be my choice? I follow the above model. Please suggest a better framework to better represent the...
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Curious to know, what are the best tools on visualization in the market?
Have you used tools like Domo, Looker or Birst? Are these worth it according to you?
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What Makes a Great Data Visualization?
Hey everyone! 👋 I’ve been diving deeper into data visualization lately and thought it’d be great to open up a discussion on what makes a visualization truly effective. With so many tools out there—Tableau, Power...
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What are the most important python topics to cover for data analysis?
I'm looking to build a strong foundation in Python specifically for data analysis. I'm curious about the core Python libraries and concepts that are most frequently used in this field. For example, which aspects of...
Kavya Iyer
Shweta Dubey
Shamayl
Adnan
Maha Sarhan
