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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-analysis-with-generative-ai/
课程评论：没有评论
课程名称：初学者的数据科学：实用工具与概念 课程概述：本课程面向对数据科学感兴趣但不知从何开始的初学者。无需编码经验，该课程提供核心概念、工具及数据科学在现实世界中的应用的清晰介绍。无论你是希望转行进入数据领域、提升分析技能，还是仅仅想了解数据如何驱动世界，此课程都将为你打下坚实的基础，教你如何使用Google Sheets、jamovi、SPSS和R等工具处理数据。 课程内容： 1. 数据科学概论：介绍数据科学的基本元素以及其在现实工作中的相关性。 2. 数据来源：探讨获取数据的常见及不常见方法，强调获得原材料在项目中的重要性。 3. 编程基础：涵盖数据科学中基本的工具，从简单的电子表格到高级编程语言如R和Python。 4. 数学基础：学习对数据科学有用的数学形式及相关的实例，以解决重要问题。 5. 统计学概念：解释统计实践如何为数据科学提供洞察力及其重要性。 6. 数据分析工具：通过具体的工具教程，学习如何有效和准确地解决新问题，包括： - Google Sheets：在线电子表格应用，帮助组织和可视化数据。 - R：开源统计编程语言，助力数据科学。 - Jamovi：简化数据分析的免费应用，基于R的强大功能。 - SPSS：IBM的统计应用，提供数据探索和分析的概述。 所有数据集、练习文件及作业文件可在每节课下下载。 本课程旨在为学习者提供全面的数据科学基础，帮助他们理解数据分析并掌握相关工具的使用。
Are you curious about data science but unsure where to start? This beginner-friendly course offers a clear introduction to the core concepts, tools, and real-world applications of data science-no coding experience required.Whether you're looking to transition into a data role, boost your analytical skills, or just understand how data powers the world, this course gives you a comprehensive foundation to get started and understand how to use tools like Google Sheets, jamovi, SPSS, and R to work with data1. DATA SCIENCE: An IntroductionData science sits at the intersection of statistics, computer programming, and domain expertise. This non-technical overview introduces the basic elements of data science and how it is relevant to work in the real world. 2. DATA SOURCING Data science can't happen without data. That means the first task in any project is source - that is, to get - the raw materials that you will need. This course discusses some of the more familiar methods of gathering data and some of the less familiar that are specific to data science. 3. CODINGData science professionals rely on a range of tools, from basic spreadsheets to advanced languages like R and Python. In these videos, we'll cover the basic elements of the most important tools for data science4. MATHEMATICSData science relies on several important aspects of mathematics. In this course, you'll learn what forms of mathematics are most useful for data science, and see some worked examples of how math can solve important data science problems.5. STATISTICSStatistics is distinct from - but critical to - data science. In this non-technical, conceptual overview, you can learn how statistical practices such as data exploration, estimation, and feature selection give data science its power and insight. 6. The Tools of DataIn working with data, you'll confront novel problems that require creative solutions. A wide range of tools can help you find these solutions efficiently and accurately. This course offers tutorials on the most important tools for working constructively with data. This course includes modules on Google Sheets, the open-source data analysis program jamovi, the statistical programming language R, and the analytical application SPSS.6.1. Google Sheets: Google Sheets is a free, web-based spreadsheet application that is part of the Google Drive office suite, along with Google Docs and Google Slides. Google Sheets has a clean, human-friendly design that encourages collaboration and facilitates insight into your data. In this course, you'll learn how you can use Google Sheets to enter, organize, refine, analyze, and visualize your data to present your story.6.2. R: R is a free, open-source, statistical programming language and it is possibly the single most important tool in data science. In this non-technical overview, learn what makes R special and how it can be used to make data science easy, efficient, and insightful.6.3. Jamovi: jamovi is a free, open-source application that makes data analysis easy and intuitive. jamovi menus and commands are designed to simplify the transition from programs like SPSS but, under the hood, jamovi is based on the powerful statistical programming language R. jamovi has a clean, human-friendly design that facilitates insight into your data and makes it easy to share your work with others. In this introductory course, you'll learn how you can use jamovi to refine, analyze, and visualize your data to get critical insights.6.4. SPSS: Learn about the popular statistical application SPSS from IBM. This course provides a concise overview of how you can use SPSS to explore and analyze your data for actionable insights.All datasets, exercise files, and assignment files are available for download under each lecture.
