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Pinned Threads
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4
shweta
Alex
janhavi
pangaeaX
- 1 month ago
Resources to Learn Data Science
A collection of the best courses, books, and tools to learn data science.
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5
- 4 months ago
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3
- 2 months ago
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3
- 4 months ago
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3
- 4 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 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
- 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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3
- 4 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
Projects PX
- 2 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
- 2 months ago
How do you ensure your data reports are both accurate and actionable?
Data reporting is more than just presenting numbers it’s about turning raw data into insights that drive decisions. A well-designed report should be accurate, clear, and easy to interpret, but achieving that is often challenging. Real-world data can be messy,…
How do you handle messy or inconsistent data in Python projects?
In real-world Python projects, one of the biggest challenges isn’t writing code it’s dealing with messy, inconsistent, or missing data. Data rarely comes in a clean, ready-to-use format. You might encounter missing values, incorrect types, duplicate entries, or unexpected outliers.…
How do you ensure SQL queries stay efficient when working with large datasets?
One of the biggest challenges in SQL is keeping queries performant as data grows. A query that runs smoothly on a small test dataset can slow to a crawl when applied to millions of rows in production. In real-world projects,…
How do you test and validate your Python-based data pipelines?
In data projects, pipelines are only as good as the data flowing through them. A model or dashboard can look perfect, but if the pipeline feeding it isn’t reliable, the insights won’t hold up. Testing and validation in Python brings…
What’s your go-to approach for optimizing Python code performance?
Python’s simplicity makes it a favorite for rapid development, but performance often becomes a bottleneck once projects scale. Large datasets, complex loops, or real-time applications can quickly expose limitations. Some data professionals rely on vectorization with NumPy and Pandas, others…
How do you balance speed vs. accuracy when delivering data insights under tight deadlines?
In fast-paced business environments, data professionals often face the dilemma of delivering insights quickly versus ensuring absolute accuracy. While rapid insights can drive timely decisions, even small inaccuracies can lead to major business consequences. What strategies, frameworks, or tools do…
What’s your go-to strategy for optimizing slow SQL queries?
One of the biggest challenges in working with SQL is performance. A query that works fine on a test dataset can slow to a crawl when applied to millions of rows in production. From creating the right indexes, restructuring joins,…
Which tool has had the biggest impact on your data career so far?
Every data professional has that one tool that changed the game for them. For some, it was Excel the first time pivot tables made complex analysis feel simple. For others, it was SQL—unlocking the ability to query massive datasets with…
How have data competitions shaped your career opportunities?
For many professionals, competitions are more than just a way to practice technical skills—they become a stage to prove expertise, demonstrate problem-solving under pressure, and showcase creativity in tackling real-world scenarios. A leaderboard position or a well-crafted solution often speaks…
In which areas do you think deep learning can make the biggest impact right now?
Deep learning is being applied everywhere from computer vision and natural language processing to healthcare, finance, and autonomous systems. But not every problem benefits equally from these models, and implementing them in practice often comes with challenges like data quality,…
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
- 2 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
- 2 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
- 2 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
- 2 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
- 2 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
- 2 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
- 2 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
- 2 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
- 2 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
- 2 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
- 2 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
- 2 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
- 2 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
- 2 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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4
Devansh
Shamayl
- 2 years ago
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4
- 2 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
- 2 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
- 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. Consultants also choose visualization tools that are flexible and capable…
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3
- 2 years ago
