Master Data Analysis using Trustworthy Databases

<p>Python is an excellent programming language for beginners to handle and analyze data. We’ll also talk about how to find relevant data sources and a bit about statistical testing. Let’s break this down into a few steps:</p> <h1>Step 1: Finding Relevant and Trustworthy Databases</h1> <p>Depending on your field, there are many places where you can find datasets. For instance, some common data repositories are <a href="https://archive.ics.uci.edu/" rel="noopener ugc nofollow" target="_blank">UCI Machine Learning Repository</a>, <a href="https://www.kaggle.com/datasets" rel="noopener ugc nofollow" target="_blank">Kaggle</a>, <a href="https://datasetsearch.research.google.com/" rel="noopener ugc nofollow" target="_blank">Google Dataset Search</a>, and Government databases (e.g., <a href="https://data.gov/" rel="noopener ugc nofollow" target="_blank">data.gov</a>, <a href="https://ec.europa.eu/eurostat/data/database" rel="noopener ugc nofollow" target="_blank">Eurostat</a>).</p> <p><a href="https://medium.com/gitconnected/master-data-analysis-using-trustworthy-databases-15d83c7d084e"><strong>Read More</strong></a></p>