Changing a career is tough. I’ve experienced it first hand when I started to look on how to change from a career in Internal Audit to a career in Data Analytics. It was a difficult experience, but I hope this article will reward my suffering with the experience I aim to share with you.

If you’re reading this, then congratulations. You read all of the Medium articles on how to learn SQL, Python, R, etc. The dos and don’ts of the data analytics world, and now you’ve landed your first data analytics job.

Here are the four quick tips on ramping up at your new job.

Whether you are an expert or a novice, I believe this article will be a great resource to anyone wanting to sharpen or refresh their knowledge on graphing. In this article I want to go over the following:

1. When to Use a Scatter Diagram

2. How to Represent the Data Within a Scatter Diagram

3. Understanding and Explaining your Scatter Diagram

When an error occurs during a cross-functional project, we tend to blame the party that we have the least understanding of. My aim with this article is to explain a few technical terms and concepts that you may hear from your data engineering, analyst, or scientist friends. This article will focus on defining schema and branches, what they are, how they are different, and how they work together.