Effective visualization helps you get better insights from your data, make better and more informed business decisions. Python is a favorite tool for programmers and data scientists because it’s easy to learn, and the extensive list of built-in features and importable libraries contribute to increased productivity. To do this, we will focus on the following very popular libraries in Python: matplotlib, ggplot, seaborn, and plotly.
This comprehensive 2-in-1 course is a practical tutorial to help you determine different approaches to data visualization, and how to choose the most appropriate one for your needs. It will help you use data visualization as your preferred business reporting tool. Adds impact to your data by representing information in the form of a chart, diagram, pictures, and so on. This will also help you deploy plots and charts using various data visualization tools in Python.
Contents and Overview
This training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.
The first course, Data Visualization in Python by Examples, covers Data visualization with matplotlib, ggplot, and seaborn in Python. In this course, you will walk through some of the fundamentals of data visualization, sharing many examples of how to handle different types of data and how best to present your insights. Finally, you’ll use Plotly to plot comparative graphs of Apple iPhone version releases and compare the performance of gaming consoles such as Xbox and PlayStation.
The second course, Python Data Visualization Solutions, covers creation of attractive visualizations using Python’s most popular libraries. This video starts by showing you how to set up matplotlib and other Python libraries that are required for most parts of the course, before moving on to discuss various widely used diagrams and charts such as Gantt Charts. As you’ll go through the course, you’ll get to know about various 3D diagrams and animations. As maps are irreplaceable to display geo-spatial data, this course will show you how to build them. In the last section, you’ll take you on a thorough walkthrough of incorporating matplotlib into various environments and how to create Gantt charts using Python.
By the end of this training program you’ll be able to create effective visualizations for your data sets using tools: matplotlib, ggplot, seaborn and plotly in Python.
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