Data Visualization with Python Bootcamp

  • 4 Courses | 8h 49m 15s
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Welcome to the Data Visualization with Python Bootcamp channel!   Nothing is more powerful than effective data visualizations. Students will develop a powerful toolkit to visualize data with static graphs and interactive charts. This course will help students become expert data communicators to make their analyses shine. By the end of the course, attendees will be able to manipulate and summarize a variety of file formats and build intuitive data visualizations with Python.   Attendees must be comfortable using Python to manipulate data and perform basic operations.   Before attending the course, please download and install Anaconda from the following URL: https://www.anaconda.com/products/individual

COURSES INCLUDED

Data Visualization in Python Bootcamp: Session 1 Replay
This is a recorded Replay of the Data Visualization in Python Live session that ran on February 16th at 11 AM ET. In this session Lucas Kelly discusses loading and cleaning the dataset, reshaping data using pandas, and EDA.
2 videos | 2h 24m
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Data Visualization in Python Bootcamp: Session 2 Replay
This is a recorded Replay of the Data Visualization in Python Live session that ran on February 17th at 11 AM ET. In this session Lucas Kelly discusses visualizing data with matplotlib, scatterplots, customize graphs, violin plots, and creating compound visualizations in grid format.
3 videos | 2h 6m
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Data Visualization in Python Bootcamp: Session 3 Replay
This is a recorded Replay of the Data Visualization in Python Live session that ran on February 18th at 11 AM ET. In this session Lucas Kelly discusses layered plots, saving plots and data, best practices of data visualization, uses and strengths of cufflinks and plotly, and basic interactive visualizations using cufflinks.
2 videos | 2h
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Data Visualization in Python Bootcamp: Session 4 Replay
This is a recorded Replay of the Data Visualization in Python Live session that ran on February 19th at 11 AM ET. In this session Lucas Kelly discusses visualizing multiple metrics using cufflinks, interactive visualizations in plotly, interactive visualizations with transformed summary data, inset plot creation, and saving plotly and cufflinks graphs.
2 videos | 2h 17m
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