Master Data Visualization in Python: Learn to Create Compelling Charts and Visual Representations of Your Data.
Sub Category
- Data Science
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Objectives
- Basic Principles of Effective Visualization
- Creating Simple Plots (line, bar, scatter)
- Customizing Plots (colors, markers, labels)
- Distplot and Histogram
- Line Charts and Scatter Plots
- Bar Charts and Histograms
- Dashboards and Interactive Visualizations
- Geospatial Data Visualization
- Customizing Visualizations with Templates
- Creating Interactive Dashboards
- Analyzing and Visualizing a Real World Dataset
- Building Interactive Dashboards to Explore Data
- Deploying Visualizations to Web Platforms
Pre Requisites
- No prior data visualization experience is required
- Basic understanding of Python programming (variables, data types, loops, functions).
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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