mangacodewise.hashnode.dev·Feb 2, 2024Data Literacy: Most common data mistakesThe process of converting raw data into actionable insights is full of pitfalls which you, dear data bender, should be weary of. From the quality of data we use to how we communicate our findings, each step requires careful consideration. Here are so...54 readsData Science
mangacodewise.hashnode.dev·Feb 1, 2024Data Literacy: What is Data context and why is it important?What are the circumstances behind my writing this article? You wouldn't know if I didn't tell. While learning Data Literacy on Datacamp, in this course Introduction to data, the instructor talks about data context. I thought, why not dig deeper?After...13 likes·200 readsData Science
Bella Ekebellaeke.hashnode.dev·Oct 25, 2023🔍 Unlocking the Power of Data Platforms: Essential Knowledge for Data AnalystsIn the ever-evolving landscape of data analysis, understanding the core data platforms is the key to harnessing the full potential of your analytical prowess. Let's shed light on some vital concepts and why they are indispensable for data analysts. 1...#DataPills
Bella Ekebellaeke.hashnode.dev·Oct 18, 2023Digging Deeper: A Comprehensive Guide to Data MiningIntroduction: Data mining, often called the "heart of data analysis," is a process that involves discovering patterns, trends, and valuable information from large and complex datasets. This post delves into the world of data mining, highlighting its ...#DataPills
