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Pinned Threads
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shweta
Alex
janhavi
pangaeaX
- 4 months ago
Resources to Learn Data Science
A collection of the best courses, books, and tools to learn data science.
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- 8 months ago
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- 6 months ago
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- 8 months ago
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- 8 months ago
Weekly Posting Rituals
What are the key benefits of staff outsourcing
Staff outsourcing can offer numerous advantages to small businesses, particularly in terms of efficiency and cost-effectiveness. Here are some key benefits: Cost Savings: Staff Outsourcing allows businesses to avoid the…
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kashaf
- 1 week ago
What benefits come with employing a developer for Power BI?
Hire Power BI developer with cross-functional knowledge has several benefits, one of which is a deeper comprehension of various business processes and their interconnections. These developers are able to produce…
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KnowledgeKingX
- 1 year ago
How do data visualization consulting companies ensure the scalability of solutions?
Data visualization consulting company ensures scalability by designing solutions that can grow with the business. They implement data models and structures that can handle increasing data volumes without compromising performance.…
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4
- 8 months ago
Bounty Questions
🏅 Bounty: 200 pts
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…
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4
- 4 months ago
🏅 Bounty: 200 pts
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…
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- 4 months ago
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From your experience, when does data visualization actually fail to improve decision-makin
Many teams invest heavily in dashboards, reports, and BI tools expecting clearer decisions. In practice, visualizations often look polished but still don’t change outcomes. Decisions get delayed, overridden by intuition, or escalated despite having “good data” in front of people.…
Non-IT Background – Should I Start with Data Analytics or Jump into Data Science?
Hey everyone! I’m from a Non-IT background, but I’ve been exploring the world of Data Analytics and Data Science lately. My long-term goal is to become a Data Scientist or work in AI/ML, and I’ve picked up some basics through self-study. However, I’m confused…
How would you design an NLP-driven solution to transform unstructured text data into early
A large customer-facing enterprise receives thousands of unstructured text inputs every day across emails, chat support, social media comments, and internal tickets. These messages include complaints, feature requests, sentiment signals, and operational issues. Currently, most of this data is reviewed…
What’s one deep learning project that didn’t go as planned, and what did you learn from it
Describe what went wrong, whether it was data issues, wrong assumptions, deployment challenges, or business pressure. Explain how you identified the problem, what you changed, and how that experience shaped the way you approach deep learning work today. Focus on…
DevOps Implementation Guide: Accelerating CI/CD Pipelines in Enterprise IT
In today’s digital environment, enterprises are expected to deliver software faster without compromising on quality or reliability. However, traditional IT development and operations models often struggle to keep up with changing business priorities. DevOps addresses this challenge by bringing development…
Metrics look fine, but trust in the ML model keeps dropping seen this?
In many ML systems, performance doesn’t collapse overnight. Instead, small inconsistencies creep in. A prediction here needs a manual override. A segment there starts behaving differently. Over time, these small exceptions add up and people stop treating the model as…
When did your machine learning model stop behaving like the one you tested?
In development, machine learning models often feel predictable. Training data is clean, features are well understood, and validation metrics give a clear sense of confidence. But once the model is deployed, it starts interacting with real users, live systems, and…
When did you realize your deep learning model wasn’t failing… but quietly drifting?
Deep learning models often look solid during training and validation. Loss curves are stable, accuracy looks acceptable, and benchmarks are met. But once these models hit production, reality is rarely that clean. Data distributions evolve, user behavior changes, sensors degrade,…
When did your deep learning model first disappoint you in production?
Deep learning models often look impressive during training and validation high accuracy, stable loss curves, and strong benchmark results. But once they meet real users and live data, cracks start to appear. Inputs become noisier, edge cases show up more…
When did your deep learning model stop behaving like it did in training?
I’ve noticed this pattern across teams working on deep learning systems: models look solid during training and validation, metrics are strong, loss curves are clean—and confidence is high. But once the model hits real users, things start to feel off.…
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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MJ
Wrapo Biz
NA_analytics
- 3 years ago
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, what should I choose?
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LookUpVisualizer
Razrap
- 3 years ago
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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3
- 3 years ago
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 collected data.
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3
- 3 years ago
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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Rajesh_Vincent
- 3 years ago
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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1
- 3 years ago
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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Sameer Barari
- 3 years ago
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 think is the actual role…
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- 3 years ago
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 R, ‘paste’ in search field…
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- 3 years ago
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?
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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6
- 3 years ago
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, what should I choose?
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6
- 3 years ago
Resources to Learn Data Science
A collection of the best courses, books, and tools to learn data science.
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5
- 3 years ago
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 approval workflows, row level access…
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Kavya Iyer
Shweta Dubey
- 3 years ago
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4
- 3 years ago
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 the patterns we uncover are…
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- 3 years ago
Tools You Can’t Live Without
Share the tools that make your data workflow more productive.
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4
- 3 years ago
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 when updates are needed?
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4
- 3 years ago
What benefits come with employing a developer for Power BI?
Hire Power BI developer with cross-functional knowledge has several benefits, one of which is a deeper comprehension of various business processes and their interconnections. These developers are able to produce dashboards that serve several departments, guaranteeing that different stakeholders receive…
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4
- 3 years ago
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 prefer flexibility and defer transformations…
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Sameena
Arindam
- 3 years ago
