🥫HOMEWORK 1: Intro to NumPy & Pandas🥫
Questions based on Mini-Lecture 2️⃣
To work on this HW, duplicate this Notebook and edit it in your workspace!
Dataset to use: click me!
🍅 Background info/context: I LOVE Ketchup! (who doesn't?) Unfortunately, there's too many brands out there and in this economy I can't afford to buy every bottle to taste every brand. To help me solve this personal crisis, please take a look at this survey dataset containing a survey of people's opinions on different ketchup brands, their prices, and other information!
1. NumPy #️⃣🥧
2. Pandas!! 🐼
3. Reading! 📚
Read this article: click me! Give a 5 sentence summary of the article or something that you've learned from it.
Studying both data science and economics has become more common and valuable in the past few years. This is due to the rise in demand for companies to understand their users and the risks of actions that may impact their profit. The daily skills and knowledge needed for data science jobs vary. Many data science jobs use econ knowledge and it may be helpful to have a solid understanding of both subjects. That being said, having a degree in economics may not be a requirement, but it can be very helpful if you are looking to get a data-related job.