Connect with the PangaeaX Community
Find answers, share expertise, and collaborate with data professionals from around the world.
Pinned Threads
-
3
Alex
janhavi
pangaeaX
- 2 weeks ago
Resources to Learn Data Science
A collection of the best courses, books, and tools to learn data science.
-
5
- 3 months ago
-
3
- 2 weeks ago
-
3
- 3 months ago
-
3
- 3 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…
-
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…
-
3
- 11 months 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.…
-
2
- 2 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…
-
4
Projects PX
- 4 weeks 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…
-
2
- 1 week ago
Tell us about a time predictive analytics made a real impact.
There are moments when the work we do as data professionals truly shines when a predictive model gives a business the insight it needed at just the right time. Have you had one of those moments? Maybe you helped a…
What’s one mistake most new data professionals make (that you did too)?
If you’ve been in data long enough, you’ve probably made a few classic mistakes and seen others do the same. Maybe it was building a model without understanding the business context. Or skipping proper data cleaning. Or assuming the data…
What AI tool or workflow actually saved you time recently?
With new AI tools launching almost daily, it’s easy to get overwhelmed by the noise. But let’s talk real life:What’s one AI tool, platform, or workflow that you’ve actually used consistently and seen results from? Maybe it helped you write…
What’s one underrated SQL feature you wish more people used?
Let’s be honest most of us rely on SELECT, JOIN, and WHERE day in and day out. But every once in a while, there’s that one SQL function or technique that just clicks and saves hours of pain.Maybe it was…
How do you build trust through data visualization?
In the world of data, trust isn’t earned only through models or metrics it’s built in how insights are communicated.A clear, honest, and well-designed visualization can do more than show results; it can influence decisions, spark conversations, and align entire…
Why does everyone seem to be choosing data science these days?
I keep seeing a lot of people jumping into data science especially those without a tech background. Curious why this field is getting so much attention compared to others like cloud, web dev, or cybersec. Is it the salary hype?…
How long did it take you to land your first Data Analyst role?
Breaking into data analytics can feel like a long journey, full of learning, interviews, and sometimes a bit of waiting. Everyone’s path is different some find roles quickly, while others take months or even years. This question is for everyone…
Are you willing to have AI review your application?
AI reviewing applications make the process faster, fairer, and purely skill-based. Remove bias by focusing on actual performance, not just resumes. It gives data professionals a real chance to stand out. Trusting AI in hiring is a step toward smarter,…
How is the freelance market in the data space?
The demand for data skills is growing fast, and freelancing can open up some great opportunities. Many companies want experts who can jump in and help with projects without long-term commitments. That said, freelancing isn’t always easy. Finding clients, setting…
Is Freelancing as a Data Scientist or Python Developer realistic for someone just starting
Breaking into freelancing can feel like a dream -flexible hours, diverse projects, and working on your own terms. But when you’re just starting out, especially in technical fields like data science or Python development, it’s easy to feel overwhelmed. Building…
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?
-
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?
-
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.
-
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.
-
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?
-
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.
-
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.
-
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…
-
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…
-
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?
-
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?
-
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…
-
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.
-
5
- 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?
-
4
- 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…
-
4
Sameena
Arindam
- 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…
-
4
- 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.
-
3
- 2 years ago
-
3
- 2 years ago
Job & Freelance Opportunities
Find your next gig or share opportunities with the community.
-
3
- 2 years ago
