Data Analytics Simplified
Imagine that you are the host of “Help! I Wrecked My House!” But instead of navigating through the debris of a DIY home renovation gone awry, you’re diving headfirst into a chaotic world of spreadsheets, rogue data streams, and a jumble of mismatched tools. The mission? To declutter, organize, and automate workflows, laying down the solid groundwork necessary for efficient reporting and data science. This is the life of a data analytics engineer.
Here on this blog, I’ll share insights, tips, tricks, and a robust framework designed to tackle the ever-evolving challenges of data engineering and analytics. Given that every company and initiative comes with its unique set of requirements, and considering the dynamic nature of data, you won’t find any one-size-fits-all guides here. Instead, I aim to share my thought process and problem-solving strategies to help you identify the most effective processes and tools for your projects.
You might find yourself here because you:
No matter your situation, I’m here to equip you with the essential tools for your data analtyics toolkit, tailored specifically for the lean tech startup environment. Welcome!
Incorrect number formatting in a cell can cause your cell to appear as something totally different and it can be so frustrating. Dates can sometimes appear as numbers and it’s easy to think you are going crazy. Here’s how to fix it.
Google Sheets has an awesome formula that automatically pull data from a website. This can be a huge time saver especially if you manually pulling data frequently.
In this post, I’m going to walk you through how to take a list of items and repeat each list element X number of times to create a longer list.