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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/introduction-to-data-analytics
课程评论：没有评论
课程简介：数据分析入门 本课程提供了对数据分析概念的温和介绍，涵盖数据分析师的角色以及用于日常工作的工具。您将了解到数据生态系统的基本知识和数据分析的基础，包括数据收集和数据挖掘。课程还将教授有效与利益相关者沟通数据所需的软技能，以及掌握这些技能如何使您成为数据驱动的决策者。 通过本课程，您将能够区分数据分析师、数据科学家和数据工程师的角色，了解数据分析师的职责以及数据分析的具体内容。您将能够总结数据生态系统的组成部分，如数据库和数据仓库，揭示生态系统内的主要供应商，并探索各种本地和云上的工具。随后，将继续探索大数据平台，如Hadoop、Hive和Spark。课程结束时，您将能够描绘数据分析师的日常生活，理解数据分析领域的不同职业路径，并识别掌握这一职业所需的诸多资源。 课程内容： 1. 数据分析是什么：了解数据分析的不同类型和步骤，认识现代数据生态系统中的角色及其责任，包括数据分析师和其他数据专业人士日常的工作内容。 2. 数据生态系统：学习不同的数据结构、文件格式、数据来源，以及数据专业人员在日常工作中使用的语言，了解数据库、数据仓库等不同类型的数据存储。 3. 数据收集与处理：掌握识别、获取和导入数据的流程，学习清洗和处理数据的任务及相关工具的特性和局限性。 4. 数据挖掘、可视化与结果沟通：学习统计分析在数据挖掘和可视化中的作用，了解如何使用统计工具揭示数据中的模式和趋势，并掌握不同的可视化工具和技术。 5. 职业机会及数据分析实践：探索数据分析领域的不同职业机会，展示对数据收集、处理、分析和可视化基本任务的理解。 本课程不要求具备任何数据分析、电子表格或计算机科学的经验，仅需基本的计算机使用能力、高中数学水平和现代网页浏览器（如Chrome或Firefox）的访问权限。通过这门课程，您将为成为数据分析领域的一名专业人士奠定坚实的基础。
Name:What is Data Analytics
Description:In this module, you will learn about the different types of data analysis and the key steps in a data analysis process. You will gain an understanding of the different components of a modern data ecosystem, and the role Data Engineers, Data Analysts, Data Scientists, Business Analysts, and Business Intelligence Analysts play in this ecosystem. You will also learn about the role, responsibilities, and skillsets required to be a Data Analyst, and what a typical day in the life of a Data Analyst looks like.
Name:The Data Ecosystem
Description:In this module, you will learn about the different types of data structures, file formats, sources of data, and the languages data professionals use in their day-to-day tasks. You will gain an understanding of various types of data repositories such as Databases, Data Warehouses, Data Marts, Data Lakes, and Data Pipelines. In addition, you will learn about the Extract, Transform, and Load (ETL) Process, which is used to extract, transform, and load data into data repositories. You will gain a basic understanding of Big Data and Big Data processing tools such as Hadoop, Hadoop Distributed File System (HDFS), Hive, and Spark.
Name:Gathering and Wrangling Data
Description:In this module, you will learn about the process and steps involved in identifying, gathering, and importing data from disparate sources. You will learn about the tasks involved in wrangling and cleaning data in order to make it ready for analysis. In addition, you will gain an understanding of the different tools that can be used for gathering, importing, wrangling, and cleaning data, along with some of their characteristics, strengths, limitations, and applications.
Name:Mining & Visualizing Data and Communicating Results
Description:In this module, you will learn about the role of Statistical Analysis in mining and visualizing data. You will learn about the various statistical and analytical tools and techniques you can use in order to gain a deeper understanding of your data. These tools help you to understand the patterns, trends, and correlations that exist in data. In addition, you will learn about the various types of data visualizations that can help you communicate and tell a compelling story with your data. You will also gain an understanding of the different tools that can be used for mining and visualizing data, along with some of their characteristics, strengths, limitations, and applications.
Name:Career Opportunities and Data Analysis in Action
Description:In this module, you will learn about the different career opportunities in the field of Data Analysis and the different paths that you can take for getting skilled as a Data Analyst. At the end of the module, you will demonstrate your understanding of some of the basic tasks involved in gathering, wrangling, mining, analyzing, and visualizing data.
This course presents a gentle introduction into the concepts of data analysis, the role of a Data Analyst, and the tools that are used to perform daily functions. You will gain an understanding of the data ecosystem and the fundamentals of data analysis, such as data gathering or data mining. You will then learn the soft skills that are required to effectively communicate your data to stakeholders, and how mastering these skills can give you the option to become a data driven decision maker. This course will help you to differentiate between the roles of a Data Analyst, Data Scientist, and Data Engineer. You will learn the responsibilities of a Data Analyst and exactly what data analysis entails. You will be able to summarize the data ecosystem, such as databases and data warehouses. You will then uncover the major vendors within the data ecosystem and explore the various tools on-premise and in the cloud. Continue this exciting journey and discover Big Data platforms such as Hadoop, Hive, and Spark. By the end of this course you will be able to visualize the daily life of a Data Analyst, understand the different career paths that are available for data analytics, and identify the many resources available for mastering this profession. Throughout this course you will learn the key aspects to data analysis. You will begin to explore the fundamentals of gathering data, and learning how to identify your data sources. You will then learn how to clean, analyze, and share your data with the use of visualizations and dashboard tools. This all comes together in the final project where it will test your knowledge of the course material, explore what it means to be a Data Analyst, and provide a real-world scenario of data analysis. This course does not require any prior data analysis, spreadsheet, or computer science experience. All you need to get started is basic computer literacy, high school level math, and access to a modern web browser such as Chrome or Firefox.
