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所在平台: Udemy |
课程主页: https://www.udemy.com/course/the-complete-2021-python-visualizations-bootcamp/
课程评论：没有评论
Coursera数据分析：Python可视化课程总结 本课程专为希望在数据科学、机器学习项目以及商业分析和功能分析中创建强大可视化和洞察的学员设计。 **课程核心内容：** * **Python可视化技术：** 专注于如何使用Python创建令人惊叹的可视化图表。 * **可视化库：** 涵盖Matplotlib、Seaborn和Bokeh这三个最流行的Python可视化库，并介绍超过20种不同的可视化类型。 * **数据分析流程：** 强调数据分析到可视化的完整流程，帮助学员理解如何从数据洞察中构建可视化。 * **整体教学方法：** * **实际案例与生数据：** 使用真实生活中的业务场景和原始数据，进行详细的探索性数据分析（EDA），为可视化准备数据。 * **数据分析与EDA技术：** 利用Numpy和Pandas库处理和分析不同数据结构。 * **图表类型与定制：** 详细讲解各种图表类型、定制化配置和矢量化技术。 * **代码演示与概念结合：** 通过大量的代码演示和深入的概念讲解，实现平衡的学习方法。 * **深度讲解：** 对每一个概念都深入挖掘基础技术和深度定制化技巧。 * **学习巩固：** 在课程的关键节点穿插测验，以验证学习效果。 **附加资源：** 课程提供的所有代码均可下载，供学员在学习过程中实践。
If you are working on Data Science projects and want to create powerful Visualization and Insights as outcome from your projects, this course is for you!!!If you are working on Machine Learning Projects and want to find patterns and insights from your Data on your way to building Models, this course is for you!!!If you are a Business Analyst or Functional Analyst and want to build powerful Visualizations for your stakeholders, this course is for you!!= = = = = = >>> This course is exclusively focused on explaining how to build fantastic Visualizations using Python. Covers more than 20 types of Visualizations using the most popular Python Visualization Libraries Matplotlib, Seaborn and Bokeh. It covers Data Analytics that leads to building these visualizations so that the learners understand the flow of analysis to insights. This course takes a holistic approach towards teaching Visualizations:- Take real-life, business scenarios and raw data to go through detailed Exploratory Data Analysis (EDA) techniques to prepare your raw data to suit the appropriate Visualization needs.- Data Analytics and Exploratory Data Analysis Techniques using multiple different data structures using Numpy and Pandas libraries.- Explain Chart/Graph types, customization/configuration and vectorization techniques.- Throughout the course, extensive amount of Code demo along with concepts as a balanced approach to teaching.- Every concept is taught by going deeper into foundational techniques and deeper customizations on Visualizations.Extensive Quizzes are infused at logical points to validate the learning effectiveness.[NOTE: All the code used in the Lectures are attached as downloadable resources. You may download them and try out while going through the lectures.]
