| 4.2.1-InspectingDataWithPandas.ipynb | 1.7 KB | ||
| 4.2.2-AggregatingDataWithPandas.ipynb | 44 KB | ||
| 4.2.3-VisualizingData.ipynb | 72.6 KB | ||
| 4.3-PresentingData.ipynb | 72.4 KB | ||
| Bonus Resources.txt | 307.2 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| MonthlyProductSales.csv | 515.1 KB | ||
| [1] Setting up Python and Jupyter.mp4 | 18.2 MB | ||
| [1] Setting up Python and Jupyter.srt | 6.7 KB | ||
| [1] Working in pandas.mp4 | 229.7 MB | ||
| [2] Presenting analysis in notebooks.mp4 | 76.4 MB | ||
| [2] Presenting analysis in notebooks.srt | 7.5 KB |
Hands-On Data Science: 3 Sales Analysis in Python
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate| Genre: eLearning | Language: English + srt | Duration: 27m | Size: 292.1 MB
Python is a popular programming language in the field of data science, used for engineering and analytics, as well as data science itself. In this course, instructor Ben Sullins focuses on teaching you how to use Python using notebooks set up on the Jupyter platform. Ben walks through installing Jupyter using Anaconda, then shows you how to navigate the user interface and get Python running on a notebook in Jupyter. He covers how to import pandas, use pandas to explore sample data, and use data frames. Ben steps you through a number of functions, then concludes with some of the unique ways to present your data using Jupyter notebooks and Python.
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Linkedin - Hands-On Data Science - 1 Analyzing Employee Data with SQL Posted by
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