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"abstract": "- Overview: Visualization libraries of Python\n- Storytelling, the basics (or: it's not only the logos, fool!)\n- How to avoid poor plots? How to make them understand? A quick guide\n on maxims for good visualizations.\n\nIn short, we look what the great open source community of Python has\ndone as well as I introduce to the great works of Cole Nussbaumer\nKnaflic and Nancy Duarte, who offer great starting points for data\npresentations and presentations in your career as a data scientist.\n\nIf you have a knack as a designer or artist, this is how you can elevate\nyourself greatly.\n",
"copyright_text": null,
"description": "Not only do you have to master computer systems and statistical models,\nbut you also need to report on your results as well as win the hearts\nand minds of the decision makers \u2013 the life of a data scientist ain't\neasy!\n\nBut how do you make them *understand*? Surely, you cannot teach them\nmatrix calculus and functional analysis in an afternoon.\n\nTake my hand and I walk you through the basics.\n",