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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-analysis-simulation-visualization-and-exploration/
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**课程名称：** 数据分析、模拟、可视化与探索 **课程概述：** 这是一门全面而深入的数据分析、模拟、可视化与探索课程。课程采用实践驱动（hands-on）的设计，通过解决实际项目和练习，让你熟练掌握Python中最重要的数据科学库，包括NumPy、Pandas、Matplotlib和Seaborn，成为数据分析专家。 **课程大纲：** * **NumPy与Python基础回顾：** 本部分将帮助你巩固Python基础。即使你是Python新手，也不必担心，本部分将提供所有必要的入门知识。 * **Pandas (数据分析)：** 深入学习Pandas，包括Series、DataFrame、groupby方法、透视表（pivot table）、条件过滤、DataFrame合并以及其他高级数据分析技术。 * **Matplotlib (数据绘图与可视化)：** 学习Matplotlib的方方面面，从基础到高级。掌握如何定制从一维到三维的图形和图表。 * **Seaborn (数据可视化与推断)：** 深入探索Seaborn，这是最重要的数据可视化与推断库之一。Seaborn提供的图表不仅能直观展示数据，还能从中推断出统计信息，如数据分布、均值、中位数、四分位距等。 * **项目 (数据与视觉分析)：** 在掌握Pandas、Matplotlib和Seaborn后，我们将进行一个综合项目，运用以上所有知识。通过完成项目，你将真正掌握数据分析与可视化的核心技能。 * **蒙特卡洛模拟与可视化：** 当不确定某个过程结果时，我们会进行蒙特卡洛模拟。本部分将进行多项蒙特卡洛模拟实验，并通过练习巩固相关概念。 * **时间序列生成与可视化：** 时间序列是一种非常重要的数据类型，具有广泛的实际应用。本部分将学习如何创建不同类型的时间序列数据，并通过练习掌握时间序列的生成与可视化。 * **图像创建与可视化：** 图像是另一种重要的数据类型。本部分将让你理解如何创建自己的彩色和灰度图像，学习如何在图像上绘制线条、边缘、角点、圆环和圆形，以及如何创建自定义图像数据集。通过练习，你将全面掌握图像创建与可视化的知识。
DescriptionThis is a complete and comprehensive course on Data Analysis, Simulation, Visualization and Exploration. It is hands-on course design to make you expert by solving projects and exercises by using Python's most important packages and libraries such NumPy, Pandas, Matplotlib and Seaborn.Course OutlineNumPy and Python RefresherIn this section of the course, we learn basic and fundamentals of python. If you don't know anything about the python, even then you do not need to worry about, this section will provide you all the fundamentals.Pandas ( Data Analysis )In this section we deep dive into Pandas to learn Pandas Series, Pandas Data Frames, groupby method, pivot table, conditional filtering with Pandas, Combining Data Frames and Other advanced data analysis techniquesMatplotlib ( Data Plotting and Visualization )We learn everything of Matplotlib from fundamental to advanced. We learn how to customize the figures and plots from 1D to 3D.Seaborn ( Data Visualization and Inference )In this section, we dive deep into Seaborn. It is the most important Visualization package for data visualization Inference. It provides the plots, charts and visualization in such manners that other than visualizing we can also infer the statistical information from the data such as the data distribution, mean, median, Interquartile range etc.Project ( Data and Visual Analytics )After learning Pandas, Matplotlib and Seaborn, now its time to do a project that require the knowledge from above three sections. In this section you will have to solve the project to get expertise in Data Analysis and Visualization.Montecarlo Simulations and VisualizationWe Perform Monte Carlo Simulation when we are not sure about the outcome of some process. In this section we perform several experiments of Montecarlo Simulations and then at the end you will solve exercise to solidify your conceptsTime Series Generation and VisualizationTime Series is a very important type of data with numerous practical applications. In this section you will learn how to create different types of time series data. At the end of this section, you will solve an exercise to get command on time series generation and visualizationImage Creation and VisualizationImage is another very import data type. This section is dedicated to make you understand how to create your own color and gray scale images. We will also learn how to draw lines, edges, corners, rings and circles on the images. We will also learn how to create our own custom image dataset. At the end of this section, you will solve an exercise to get the full understanding of image creation and visualization
