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Pinned Threads
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4
shweta
Alex
janhavi
pangaeaX
- 2 months ago
Resources to Learn Data Science
A collection of the best courses, books, and tools to learn data science.
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5
- 11 months ago
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4
- 9 months ago
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3
- 11 months ago
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3
- 11 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
- 3 months 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
- 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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4
- 11 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
- 7 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
- 7 months ago
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1
Ishan
- 9 hours ago
When does data analytics truly become a competitive advantage for a business?
Most organizations today have access to data and analytics tools, but not all of them see a real competitive edge from it. The difference seems to lie in how data is used: Is it just for reporting past performance? Or…
What are the latest trends in data interviews, and what do candidates fear the most today?
Data interviews seem to be evolving fast. It’s no longer just SQL or case studies, now it’s system thinking, real-world problem solving, and even communication. At the same time, a lot of candidates still feel uncertain going in. From what…
Why Data Analytics Is the Competitive Advantage Every Business Needs
In the landscape of 2026, velocity has become the primary currency of the corporate world. The timeframe for capitalizing on emerging market trends or shifting consumer preferences has compressed from months into mere moments, rendering traditional “report and react” methodologies…
How Data Visualization Improves Executive Decision-Making
Executives must respond to crises as soon as possible. However, determining what to do next after manually examining unverified, tabulated, and randomly formatted reports is time-consuming. Instead, depicting key trends and conflicts through visualization is ideal. Data visualization helps avoid…
Better models or better validation systems, what matters more now?
Recent updates from OpenAI highlight a clear shift. Models are getting better at reasoning, reducing factual errors, and handling complex workflows. But even with improvements: hallucinations still exist confidence doesn’t always equal correctness production risk hasn’t disappeared This creates a…
How do you add new features in a scikit-learn pipeline with a ColumnTransformer?
I came across this pipeline setup where feature engineering is being added before a ColumnTransformer, but the new features don’t seem to flow correctly through the pipeline: from sklearn.pipeline import Pipeline from sklearn.compose import ColumnTransformer from sklearn.preprocessing import StandardScaler, OneHotEncoder…
Is prompt engineering replacing traditional ML skills?
As more developers build applications using prompts instead of training models, the skillset required is changing. Is prompt design becoming the new entry point into machine learning?
Are data interviews testing real skills or just memorization?
Many candidates spend months preparing for SQL, case studies, and system design, but struggle in real-world roles. Are interviews truly reflecting on-the-job challenges, or just rewarding preparation patterns?
Why choose a Vedic numerology course for career growth?
At the Indian Institute of Vedic Science, our Vedic Numerology Course is designed to help you understand the power of numbers and their influence on life. This course combines ancient Vedic knowledge with modern learning methods to build strong analytical…
How to handle imbalanced datasets effectively in classification problems?
I’m working on a classification problem where one class heavily outweighs the others (around 90:10 ratio). My model is achieving high accuracy, but it’s clearly biased toward the majority class. Here’s a simplified version: from sklearn.model_selection import train_test_splitfrom sklearn.ensemble…
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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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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5
Kavya Iyer
Shweta Dubey
- 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?
-
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
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. Consultants also choose visualization tools that are flexible and capable…
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4
- 3 years ago
