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所在平台: Udemy |
课程主页: https://www.udemy.com/course/suv-data-mxc/
课程评论：没有评论
课程名称：在Python和MATLAB中生成和可视化数据 课程概述： 数据科学正迅速成为工业、学术、市场营销和科学领域中最重要的技能之一。大多数数据科学课程教授分析方法，但数据的种类繁多，应该选择何种方法用于具体的数据？理解数据就是解决这一问题的关键，这也是本课程的重点。 课程内容： 在本课程中，您将学习如何从最常用的数据类别中生成数据，这些类别包括统计学、机器学习、分类和聚类，涵盖模型、方程和参数。您将学习关于分布、时间序列、图像、聚类等内容。同时，您将掌握如何在一维、二维和三维中可视化数据。所有视频均附带MATLAB和Python代码供您学习和改编。 适合人群： - 渴望成为或已成为的数据科学家 - 统计学家 - 计算机科学家（熟悉MATLAB和/或Python） - 信号处理或图像处理专业人员 - 生物学家 - 工程师 - 学生 - 好奇的独立学习者 课程收获： - 超过6小时的视频讲座，包含讲解、图片和图示 - 重要笔记和解释的PDF读物 - 练习及其解决方案 - MATLAB和Python代码 课程中包含超过4000行的MATLAB和Python代码，是提升数据分析、统计和机器学习相关编程技能的良好途径。 先决条件： 您需要具备一定的Python或MATLAB编程经验。虽然不需要成为专家程序员，但如果您对变量、循环及基本绘图操作感到舒适，那么您已经有足够的基础可以参加本课程！
Data science is quickly becoming one of the most important skills in industry, academia, marketing, and science. Most data-science courses teach analysis methods, but there are many methods; which method do you use for which data? The answer to that question comes from understanding data. That is the focus of this course. What you will learn in this course:You will learn how to generate data from the most commonly used data categories for statistics, machine learning, classification, and clustering, using models, equations, and parameters. This includes distributions, time series, images, clusters, and more. You will also learn how to visualize data in 1D, 2D, and 3D.All videos come with MATLAB and Python code for you to learn from and adapt!This course is for you if you are an aspiring or established:Data scientistStatisticianComputer scientist (MATLAB and/or Python)Signal processor or image processorBiologistEngineerStudentCurious independent learner!What you get in this course:>6 hours of video lectures that include explanations, pictures, and diagramspdf readers with important notes and explanationsExercises and their solutionsMATLAB code and Python codeWith >4000 lines of MATLAB and Python code, this course is also a great way to improve your programming skills, particularly in the context of data analysis, statistics, and machine learning.What do you need to know before taking this course?You need some experience with either Python or MATLAB programming. You don't need to be an expert coder, but if you are comfortable working with variables, for-loops, and basic plotting, then you already know enough to take this course!
