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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/fundamentals-of-data-analysis
课程评论：没有评论
课程名称：数据分析基础 课程概述：本课程是为准备进入数据分析领域而设计的一系列课程的第一部分。在这里，您将接触到多种主要的数据分析类型和核心概念。您将学习进行数据分析所需的工具和技能，同时掌握数据分析中使用的一些基础数学和统计知识，以及进行高效和有效数据分析的工作流程。课程涵盖了数据分析工作中至关重要的多种主题，旨在为您提供一个介绍和概述，以便开始构建相关知识和技能。 课程大纲： 第一部分：数据分析类型 描述：在课程的第一个模块中，我们将学习主要的数据分析类型，包括描述性分析、预测性分析、诊断性分析和探索性分析。同时，我们还会了解一些高级的数据分析类型，如机制性、因果性和推断性分析。完成该模块后，您将能够识别不同的数据分析类型及其应用场景。 第二部分：数据分析的阶段 描述：在课程的第二个模块中，我们将学习数据分析过程的各个阶段，包括识别数据、定义范围和细节级别。我们将了解数据收集过程，从收集目标信息到评估结果，重点强调数据清洗的重要性，如何优先去除、修改和格式化数据，以及数据可视化的好处。 第三部分：数据分析基础数学与统计 描述：在课程的第三个模块中，我们将学习进行数据分析所使用的基础数学和统计知识。我们还将介绍一些高级数据分析算法及其应用案例，包括线性回归和聚类分析。 第四部分：数据分析方法论与工作流程 描述：在课程的第四周中，我们将学习数据分析的方法论和工作流程的定义。 通过这门课程，您将获得数据分析领域所需的基础知识和技能，为将来的学习和职业生涯奠定良好的基础。
Part: 1
Title:Types of Data Analysis
Description:In the first module of the course, we'll learn about the primary types of data analysis including, descriptive, predictive, diagnostic, and exploratory. We will also learn about some advanced data analytic types including mechanistic, causal, and inferential. By the end of this module, you will know how to identify the different types of data analysis and their use cases. So let's get started!
Part: 2
Title:The Phases of Data Analysis
Description:In the second module of this course, we'll learn about the phases of the data analysis process including identifying data, defining scope, and level of detail. We'll learn about the data collection process, from gathering targeted information to evaluating outcomes. We'll discover the importance of data cleaning and how removing, modifying, and formatting data is a priority, as well as the benefits of visualizing data.
Part: 3
Title:Foundational Data Analytics Math and Stats
Description:In the fourth module of this course, we'll learn about the fundamental math and stats used for data analysis. We’ll also describe some advanced data analytic algorithms and their use cases, including linear regression and clustering.
Part: 4
Title:Data Analytics Methodologies and Workflows
Description:In the fifth week of this course, we'll learn about defining data analytics methodologies and workflows.
This course is the first of a series that aims to prepare you for a role working in data analytics. In this course, you’ll be introduced to many of the primary types of data analytics and core concepts. You’ll learn about the tools and skills required to conduct data analysis. We’ll go through some of the foundational math and statistics used in data analysis and workflows for conducting efficient and effective data analytics. This course covers a wide variety of topics that are critical for working in data analytics and are designed to give you an introduction and overview as you begin to build relevant knowledge and skills.
