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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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6
- 1 year ago
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5
- 1 year ago
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- 1 year ago
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4
- 4 weeks 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
- 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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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
- 11 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
- 11 months ago
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…
Has synthetic data become the most important breakthrough in data science?
As AI models become more data-hungry, many organizations are running into the same problem: obtaining high-quality, diverse, and privacy-compliant data at scale. That’s why synthetic data is gaining so much attention. Instead of relying solely on real-world datasets, teams can…
Is AI reasoning the biggest breakthrough of 2026, or are we overlooking something bigger?
Over the past year, AI conversations have shifted from generating content to reasoning, planning, and agentic behavior. Models are becoming better at solving complex problems, using tools, and handling multi-step tasks rather than simply responding to prompts. At the same…
Are dashboards helping us understand data better, or just helping us look at more of it?
Data visualization has become a core part of decision-making, but more charts don’t always mean more clarity. Many organizations invest heavily in dashboards, KPIs, and reporting tools, yet teams still struggle to identify the insights that actually drive action. A…
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?…
Do protocols work perfectly on bare metal but break inside containers and Kubernetes?
I’ve noticed a recurring pattern with networking-heavy applications: everything works as expected on a local machine or VM, but the moment it’s deployed inside Docker or Kubernetes, service discovery starts failing. A recent example involved a BACnet/IP application that could…
What’s the fastest way to learn NumPy without getting stuck in tutorial hell?
NumPy is often recommended as the foundation for data analysis, machine learning, and scientific computing in Python. But for beginners, it’s not always clear how deeply they need to understand NumPy before moving on to pandas, visualization libraries, or real-world…
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?
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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6
- 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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5
- 3 years ago
Tools You Can’t Live Without
Share the tools that make your data workflow more productive.
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5
- 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
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 it can influence behavior and…
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Devansh
Shamayl
- 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
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- 3 years ago
