"Data Analysis and Visualization" uses practical cases to help you understand data

"Data Analysis and Visualization" uses practical cases to help you understand data
Introduction to the training course content: This course will help you build a data visualization analysis knowledge system through 4 modules and 15 lectures, develop visualization analysis thinking, and build a closed loop of data visualization analysis capabilities through complete practical project exercises. Module 1 Basic Theory and Knowledge System: Through the study of this module, you will develop visual analysis thinking. From the design method and operation process of visual analysis to the presentation of visual charts, you will start from the theoretical basis and master the underlying logic of visual analysis. This is a reconstruction of the underlying knowledge. Module 2 Tools and Technology: Focus on explaining the technical points of visual analysis, how to use the Echarts toolkit to achieve data visualization, and how to use PyEcharts to build a data visualization framework. The instructor will use a simple and easy-to-understand way to help you get started quickly and lay the technical foundation for data visualization analysis. Module Three Case Practice: Through a business scenario, you will practice 6 practical cases, become familiar with 7 major operation steps, and deeply understand the commonly used chart design and analysis methods for data visualization. The course provides case source code to achieve a learning effect of learning and using it immediately, meet various business needs, and make up for the lack of practical experience. Module 4 Data Publishing: This module will help you publish 6 large data visualization charts from actual cases into a complete website, and sort out the derivative knowledge of data visualization, including mainstream front-end frameworks such as Bootstrap, Flask, Python, MySQL, etc., so that you can have the full-process capabilities of data visualization analysis. : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : :

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