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Dec 12, 2019 · If you want to be a great data scientist, you have to know some basic statistics. The following picture shows which statistics topics you must know if you’re going to excel in data science. Read the full article here. For more concepts explained in one picture, follow this link.

Apr 19, 2024 · Data visualization plays an essential role in making analysts familiar with data and its features. It can help understand data distribution, data quality, and even insights such as trends,...

Apr 16, 2024 · The 7 steps of data analysis include defining the problem, collecting relevant data, cleaning and organizing the data, exploring the data, analyzing the data using statistical methods, interpreting the results to conclude, and communicating findings through reports or presentations.

Exploratory Data Analysis (EDA) is an important step when working with any dataset. ... Image by Author | Ideogram . ... In this article, we'll go voer 10 useful Pandas one-liners for exploratory data analysis. We’ll use the Seaborn flights dataset as an example. 🔗 Link to the Google Colab notebook. 1. Getting a Quick Dataset Overview