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A collection of the best courses, books, and tools to learn data science.
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…
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…
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.…
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…
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…
We’ve tried collaborative filtering, not working. Anyone solved this at scale?
I have been researching different liquidity providers for forex and multi-asset trading, and recently I came across Regulus Liquidity. From what I understand, liquidity plays a major role in determining trade execution quality, spreads, and overall market efficiency. However, I…
When people discuss Natural Language Processing (NLP), the conversation often centers around Large Language Models (LLMs), transformers, chatbots, embeddings, and retrieval-augmented generation (RAG). While these advancements have transformed the field, many powerful NLP techniques don’t seem to get the attention…
I’m working on an image registration problem where I need to align a low-quality, blurry infrared (IR) image with a high-resolution RGB image of the same scene. The challenge is that the scene contains repeating structural patterns, which causes traditional…
Which data visualization do you find most underrated? When people talk about data visualization, the conversation usually revolves around bar charts, line charts, dashboards, and KPI scorecards. While these are incredibly useful, there are many visualization techniques that can reveal…
AI coding assistants have become a common part of modern software development, helping with code generation, debugging, testing, documentation, and productivity. However, many developers still prefer to handle certain tasks manually to maintain code quality, deepen their understanding, or retain…
When working with multiple datasets, entities, or concepts, one of the biggest challenges is showing not just the data itself, but the relationships, overlaps, and connections between them. Traditional charts and dashboards often highlight individual metrics well, but they may…
Many developers working with SharePoint Online discover that while Microsoft Graph API provides access to lists, items, and metadata, it does not currently support retrieving, creating, or managing SharePoint List Views. As a result, developers often need to fall back…
Access FreeAI at https://www.linkedin.com/feed/update/urn:li:activity:7469178375710973952 www.Inquiret.tech – We are looking for more folks to join the Inquiret movement. Ping us here, through Linkedin, or email us at Inquiret@tuta.com
The Data Analyst role has changed a lot in recent years. What used to be focused mainly on SQL queries, dashboards, and reporting is now shifting toward more advanced responsibilities driven by AI, automation, and self-service analytics tools. With tools…
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?
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?
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.
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.
Have you used tools like Domo, Looker or Birst? Are these worth it according to you?
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.
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.
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…
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…
Hey guys, I’m currently studying Data Analytics and I’ve finally started writing SQL queries! Any recommendations for structured SQL learning?
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?
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?
A collection of the best courses, books, and tools to learn data science.
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…
Share the tools that make your data workflow more productive.
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…
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…
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…