|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-visualization-with-matplotlib-in-python/
课程评论：没有评论
Coursera 课程：《Python Matplotlib 全方位数据可视化》 **课程概述：** 本课程专为希望从数据中获取有意义信息并采取相应行动的职场人士、学生及爱好者设计。通过本课程，您将学习如何使用 Python 中的 Matplotlib 库进行数据的可视化分析。课程包含定期评估的测验和作业，并提供 Python 代码供您学习和定制。 **适合人群：** * **学生：** 准备参加数据竞赛、黑客马拉松或需要进行项目数据分析与可视化的学生。 * **职场人士：** 需要探索数据以获取洞察，并使用图表和图形呈现分析结果的专业人士。 * **爱好者：** 希望像专业人士一样理解和分析来自各种来源的原始数据的个人。 **课程内容亮点：** * 掌握 2D 和 3D 图形绘制、可视化和分析。 * 学习处理、绘制和交互式可视化线性和非线性数据。 * 了解并实践多种图表类型，包括条形图、堆叠图、XY 图、饼图、直方图、极坐标图、对数图等。 * 学习处理、绘制和分析时间序列数据（尤其来自金融领域）。 * 学习处理音频信号，进行绘制、可视化和分析。 * 初步了解图像处理，包括提取通道、应用着色方案以获取更多信息。 * 全面掌握在 Matplotlib 中处理和可视化各类数据。 **课程工具：** * Python 3 (版本 3.7 及以上) * Jupyter Notebook (IDE) * Matplotlib (数据可视化库) **目标：** 在本课程结束后，您将能够熟练地使用 Matplotlib 进行数据可视化分析。
Hello, and welcome to the course on "Comprehensive Data visualization with Matplotlib in Python". This course has been designed keeping in mind the working professionals, students and even hobbyist, who wanted to get meaningful information from the data and take appropriate action.This course contains Quizzes and assignments, which will help you to evaluate your learning periodically. Python code for each module is included with this course as well, you can download them as base code and you can fully customize it.If you are a student and wanted to participate in Datathon, Hackathon and similar competition as well as you wanted to analyse & visualize data as a part of the project. Then this course is for you.If you are professional and working on a daily basis to explore data to get more insight and you are required to present the key information of the analysis with the help of several charts and plot. Then this course is for you.If you are a hobbyist and always wanted to understand the raw data, available from various source (datasets), as a pro then this course is for you.This course is power-packed with all the information that you need to from absolute basic to advance level. After finishing this course, you will be able to1. The plot, visualize and analyse data in 2D as well as the 3D plot.2. Handle, plot and interactively visualize both linear and Non-linear data3. Get exposure on various plots such as bar chart, stacked chart, XY plot, Pie chart, Histogram, polar plots, logarithmic plot and much more4. Get exposure on working with Time-series data (mostly from the finance field) and plot them as well as analyse them.5. Work with Audio signals and plot, visualize and Analyse them6. Work with Images up to certain extends and play with basic image manipulation such as extracting channel, applying colouring scheme to get more information.7. Handle and visualize all sort of Data in Matplotlib.Tools used in this Course- Python 3 (any version >3.7 is perfect)- Jupyter Notebook (IDE)- Matplotlib (Data Visualization Library)So, Let's get started.Visualize and Explore the Data together.{PythonData visualization with Python Data visualization Matplotlib}
