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Pinned Threads
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KnowledgeKingX
shweta
Alex
janhavi
pangaeaX
- 6 months ago
Resources to Learn Data Science
A collection of the best courses, books, and tools to learn data science.
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- 1 year ago
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5
- 1 year ago
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- 1 year ago
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- 1 month 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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2
kashaf
- 2 weeks 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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3
- 2 years 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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3
- 1 year 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
- 12 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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2
- 12 months ago
Will OpenAI’s AI Agents Replace SaaS Apps?
OpenAI’s recent push toward increasingly capable AI agents is raising an interesting question about the future of software. Traditionally, users interact directly with SaaS platforms, CRM tools, analytics dashboards, project management software, and productivity suites. But if AI agents can…
Will Deep Learning Look Different in 2027?Will Deep Learning Look Different in 2027?
For over a decade, progress in deep learning has largely been driven by larger models, more data, and greater compute power. But as we approach 2027, the industry seems to be shifting toward efficiency, specialized architectures, and domain-focused models rather…
Are Data Scientists Becoming AI Supervisors?
With the rapid adoption of agentic AI, automated feature engineering, AutoML, and AI-assisted analytics, I’m starting to wonder whether the role of a data scientist is changing faster than many expected. Tasks that once required hours of manual work—data cleaning,…
Are BI dashboards driving decisions, or just reporting them?
Many organizations invest heavily in Business Intelligence tools, yet decision-making often still relies on experience, intuition, or separate discussions outside the dashboard. With modern BI platforms offering real-time analytics, alerts, and predictive insights, are dashboards becoming active decision-support systems, or…
Facebook Ads Insights API Error: Missing Capability?
I’m trying to fetch data from the Facebook Ads Insights API, but every request returns the following error: { "error": { "message": "(#3) Application does not have the capability to make this API call", "type": "OAuthException", "code": 3 } }…
Are we entering the era of AI coworkers rather than AI tools?
For years, AI has primarily been viewed as a tool—something people use to automate tasks, generate content, analyze data, or improve productivity. That perspective may be starting to change. With the rise of AI agents, multi-agent systems, autonomous workflows, and…
Where is advanced analytics creating the biggest impact in robotics today?
As robotics deployments grow, advanced analytics is moving beyond basic monitoring. Which use case is creating the biggest impact in your experience, and where do you see the next major opportunity for analytics in robotics?
Are robotics teams replacing reports with real-time dashboards? 🤖📊
I’ve been noticing that as robotics deployments scale, reporting seems to be shifting from periodic performance reviews to real-time operational visibility. For those working in robotics, automation, or industrial AI: What metrics matter most today? Are dashboards replacing traditional reports?…
Will Small Language Models (SLMs) become the next big machine learning breakthrough?
For years, the race in machine learning has focused on building larger and more powerful models. But recently, there’s been growing interest in Small Language Models (SLMs) that can run faster, cost less, and operate on local devices while still…
Are candidates optimizing for recruiters or algorithms now?
AI is starting to play a bigger role in the interview process, from resume screening and skill assessments to automated interview analysis and candidate ranking. Supporters argue that AI can reduce bias, improve efficiency, and help companies evaluate candidates more…
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
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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6
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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3
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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3
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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2
- 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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2
- 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?
Resources to Learn Data Science
A collection of the best courses, books, and tools to learn data science.
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6
- 1 year ago
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
- 1 year 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
- 1 year 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
- 1 year ago
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5
- 1 year ago
Tools You Can’t Live Without
Share the tools that make your data workflow more productive.
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5
- 1 year 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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- 1 year ago
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4
- 1 year 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
- 1 year ago
Job & Freelance Opportunities
Find your next gig or share opportunities with the community.
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4
- 1 year ago
