Image by Author   LinkedIn is often the first place you look for job opportunities. The same applies to recruiters when searching for suitable candidates. By optimizing your LinkedIn profile, you increase your chances of being noticed by recruiters and, ultimately, being hired. Here are seven tricks to help you get on recruiters’ radar.  …

Image by Author | Canva   #  Introduction   Raise your hand if you started your data analyst career in Excel. Yup, me too. Excel is a powerful tool for data analysis and visualization—and you know it. Let’s keep the Excel jokes for another article. However, despite improvements in handling larger datasets, there’s a point…

Image by Editor | Gemini & Canva   #  Introduction   The Google Gemini 2.5 Flash Image model, affectionately known as Nano Banana, represents a significant leap in AI-powered image manipulation, moving beyond the scope of traditional editors. Nano Banana excels at complex tasks such as multi-image composition, conversational refinement, and semantic understanding, allowing it…

Image by Author | Ideogram   #  Introduction   When you’re new to analyzing with Python, pandas is usually what most analysts learn and use. But Polars has become super popular and is faster and more efficient. Built in Rust, Polars handles data processing tasks that would slow down other tools. It is designed for…

Image by Editor | ChatGPT   #  Introduction   AI agents are only as effective as their access to fresh, reliable information. Behind the scenes, many agents use web search tools to pull the latest context and ensure their outputs remain relevant. However, not all search APIs are created equal, and not every option will…

Image by Author | Canva & ChatGPT   #  Introduction   GitHub has become the go-to platform for beginners eager to learn new programming languages, concepts, and skills. With the growing interest in agentic AI, the platform is increasingly showcasing real projects that focus on "agentic workflows," making it an ideal environment to learn and…

Image by author | Canva   An interviewer's job is to find the most suitable candidates for the advertised position. In doing so, they will gladly set up SQL interview questions to see if they can catch you off guard. There are several SQL concepts at which candidates often fail. Hopefully, you’ll be one of…

Image by Author   Data science projects are notorious for their complex dependencies, version conflicts, and "it works on my machine" problems. One day your model runs perfectly on your local setup, and the next day a colleague can't reproduce your results because they have different Python versions, missing libraries, or incompatible system configurations. This…

Image by Author | Ideogram   Running multiple large language models can be useful, whether for comparing model outputs, setting up a fallback in case one fails, or customizing behavior (like using one model for coding and another for technical writing). This is how we often use LLMs in practice. There are apps like poe.com…

Image by Editor | ChatGPT   #  Introduction   Data is a company's most significant resource, and insights from data could make the difference between profit and failure. However, raw data is hard to understand, so we visualize it in dashboards so non-technical people can better navigate it. Building a dashboard is not straightforward, especially…