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所在平台: Udemy |
课程主页: https://www.udemy.com/course/statistics-introduction-applied-to-data-science/
课程评论：没有评论
## Python 数据分析课程总结 这门 Coursera 课程《Python 数据分析》旨在帮助学习者掌握进行专业探索性数据分析（Exploratory Data Analysis, EDA）所需的统计学基础知识。课程结合理论与实践，从数据基础概念和变量属性入手，逐步深入到更高级的统计技术。 **课程亮点：** * **统计学入门与进阶：** 涵盖了中心趋势度量、离散度度量等基础统计概念，以及回归、相关性、方差分析等更高级的统计技术。 * **Python 实操：** 以 Python Jupyter Notebooks 为技术支持工具，帮助学习者在实践中运用所学知识。 * **面向广泛受众：** 无论是希望提升统计能力、学习或巩固数据分析技能的学生，还是对该领域感兴趣的初学者，都能从课程中获益。 * **循序渐进的教学结构：** 课程共分为六个模块，每个模块都对应一个实际操作实验室，确保学习者能够充分实践。 **课程内容概览：** * **模块一：** 课程基础概念介绍。 * **模块二：** Python 中的基本数据类型。 * **模块三：** 定量数据的核心属性。 * **模块四：** 使用 Python 进行数据预处理。 * **模块五：** 探索性数据分析（EDA）基础。 * **模块六：** 探索性数据分析（EDA）高级主题。 **先修知识：** 虽然了解 Python 语言更佳，但并非必需。课程中会提供必要的 Python 知识，以支持学员完成实验和练习。 **总结：** 如果您渴望提升统计学能力，或者希望开启数据分析之旅、巩固相关技能，这门课程将是您的理想选择。通过六个模块和六个实践实验室，您将能够专业地进行探索性数据分析。
Do you need help with statistics?. In this course we will learn the basic statistical techniques to perform an Exploratory Data Analysis in a professional way. Data analysis is a broad and multidisciplinary concept. With this course, you will learn to take your first steps in the world of data analysis. It combines both theory and practice.The course begins by explaining basic concepts about data and its properties. Univariate measures as measures of central tendency and dispersion. And it ends with more advanced applications like regression, correlation, analysis of variance, and other important statistical techniques.You can review the first lessons that I have published totally free for you and you can evaluate the content of the course in detail.We use Python Jupyter Notebooks as a technology tool of support. Knowledge of the Python language is desirable, but not essential, since during the course the necessary knowledge to carry out the labs and exercises will be provided.If you need improve your statistics ability, this course is for you.if you are interested in learning or improving your skills in data analysis, this course is for you.If you are a student interested in learning data analysis, this course is for you too.This course, have six modules, and six laboratories for practices.Module one. We will look at the most basic topics of the course.Module two. We will see some data types that we will use in python language.Module three. We will see some of the main properties of quantitative data.Module four. We will see what data preprocessing is, using the python language.Module five. We will begin with basics, of exploratory data analysis.Module six. We will see more advanced topics, of exploratory data analysis.
