“Data! Data! Data!” he cried impatiently. “I cannot make bricks without clay.”

Sherlock Holmes in “The Adventure of the Copper Beeches,” Sir Arthur Conan Doyle


The importance of data cannot be emphasised enough in a data science process. The outcomes of a data analysis task is a representation of the kind of data that has been fed into it. However, sometimes getting the data in itself is also a big pain point. Recently, I did a short course titled Data Journalism and Visualization with Free Tools, and there were some great resources shared through that course. I’ll be sharing some of the useful tips through a set of articles. In these articles, I’ll try to highlight some of the ways by which you can find data on the internet for free and then use it to create something meaningful out of it.

#exploratory-data-analysis #google-search #data-science #data-analysis #data

Getting Datasets for Data Analysis tasks — Advanced Google Search
1.25 GEEK