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Pinned Threads
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4
shweta
Alex
janhavi
pangaeaX
- 1 week ago
Resources to Learn Data Science
A collection of the best courses, books, and tools to learn data science.
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5
- 9 months ago
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4
- 6 months ago
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3
- 9 months ago
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3
- 9 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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2
kashaf
- 4 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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4
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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2
- 4 months ago
How can teams align strong BI foundations with emerging AI analytics in 2026?
In 2026, enterprise AI and BI are evolving fast. Recent trend reports show that core practices such as data quality, security, governance, and data-driven culture remain at the top of priorities, even as AI/ML, generative AI, and advanced analytics gain…
How can advanced analytics help me deliver data-driven results for my freelance clients ?
As a freelancer working with multiple brands and businesses, I’m looking to strengthen my approach to advanced analytics to create more impact for my clients. I want to better understand how professionals use advanced analytics—like predictive insights, customer behavior analysis,…
Why does my deep learning model do well on training data but poorly on validation?
I’m new to deep learning and currently training my first few neural network models. During training, the accuracy keeps improving and the loss goes down nicely. But when I evaluate the model on validation data, the performance drops a lot.…
Why does model performance drop when using time-based train-test splits?
I’m working on a data science project with time-ordered data, and I’m seeing a significant drop in model performance once I move from training to validation. I’m sharing a simplified version of the problem and code below. The dataset represents…
How teams handle model drift in production when ground truth arrives late?
I’m currently working on a production ML project, so I can’t share specific details about the domain or data. We have a deployed model where performance looks stable in offline evaluation, but in real usage we suspect gradual drift. The…
Learning data reporting on my own, how do you think about structure and clarity?
Hi everyone,I’m a student learning data reporting on my own and trying to build good habits early, not just make reports that “look right.” I’m comfortable with basic dashboards and charts, but I get stuck on questions like: How do…
Learning Alteryx and feeling stuck on workflow logic. How do seniors approach this?
I’ve recently started learning Alteryx and can build basic workflows, but when multiple conditions, null handling, and transformations come in, I’m not always confident my logic is right. The workflow runs, but I’m unsure if it’s clean or scalable. Would…
In data interviews, what do interviewers actually value more: the final answer or the way
I’ve been thinking about this based on my own interview experiences. Sometimes I focus a lot on getting to the “correct” answer, especially under time pressure. But I keep wondering if interviewers care more about how I break down the…
In data interviews, what do interviewers actually value more: the final answer or the way
I’ve been thinking about this based on my own interview experiences. Sometimes I focus a lot on getting to the “correct” answer, especially under time pressure. But I keep wondering if interviewers care more about how I break down the…
Why Research Services Are Critical for Business Growth in 2026
Business growth in 2026 depends on clarity. However, spending longer will be detrimental. So, the speed of informed decision-making must increase. If the competitors are picking up identical initiatives, moving fast will be even more crucial. Currently, markets are getting…
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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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
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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5
Kavya Iyer
Shweta Dubey
- 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
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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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4
- 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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4
Sameena
Arindam
- 3 years ago
