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所在平台: Udemy |
课程主页: https://www.udemy.com/course/introduction-to-statistics-with-python/
课程评论：没有评论
**课程名称：** Introduction to Statistics with Python **课程概述：** 本课程将为您提供统计学基础知识以及Python这一流行编程语言的使用入门。您将通过Jupyter Notebook这一常用的Python集成开发环境，深入学习统计学中的许多基本概念。课程内容涵盖描述性统计和推断性统计，并探讨数据可视化相关概念，赋能您成为一名优秀的数据分析师。 **核心概念：** 课程将介绍包括但不限于以下统计学概念： * **集中趋势测量：** 均值 (mean)、中位数 (median)、众数 (mode) * **离散程度测量：** 标准差 (standard deviation) * **数据可视化：** 直方图 (histograms) * **推断性统计：** 置信区间 (confidence intervals)、t检验 (t-test)、相关性 (correlation)、回归 (regression)、方差分析 (ANOVA)、卡方检验 (chi-square) 等。 **学习方式：** 您可以在家中舒适地学习本课程，无需到校上课。课程提供测验以评估您的学习进度，并提供视频中使用的实际Python代码。 **目标受众：** 本课程适合希望了解统计分析、并对数据科学相关工具（如Jupyter Notebook）有初步认识的学生或人士。随着大数据时代的到来，量化技能的需求日益增长，掌握统计学和分析工具正变得越来越普遍。 **课程亮点：** * 系统学习统计学基础和Python编程。 * 通过Jupyter Notebook进行实践操作。 * 掌握数据分析和可视化的关键技能。 * 为大数据时代的需求做好准备。 加入我们，开启您的数据分析之旅，为21世纪中叶的职场需求做好准备！
This course provides a basic introduction to statistics and the use of Python a popular programming language. During the course, we look at many fundamental ideas in statistics within the framework of analysis in Jupyter Notebook a commonly used integrated development environment for Python. Topics include both descriptive and inferential statistics. Concepts related to data visualization will also be discussed to empower you in your journey as a data analyst. Among the concepts shared include mean, median, mode, standard deviation, histograms, confidence intervals, t-test, correlation, regression, ANOVA, chi-square, and more. All of these ideas can be learned from the comfort of your own home without the hassle of having to go to class. Quizzes are also available to assess your progress along with the actual Python that is used in the videos.For students and those who want exposure to statistical analysis while also obtaining a basic insight into some tools involved in data science, this is a course for you. With the growth in demand for quantitative skills with the rise of Big Data, developing mastery of statistics and analytical tools such as Jupyter Notebook is becoming a norm.Come and be a part of the analytics experience by enrolling in a course that will prepare you for the demands of the mid 20th century.
