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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/foundations-of-data-science
课程评论：没有评论
课程名称：数据科学基础 概述：本课程是谷歌高级数据分析证书的七个课程中的第一个，旨在帮助学员培养申请更高级数据专业角色所需的技能，例如初级数据科学家或高级数据分析师。数据专业人士通过分析数据以帮助企业做出更好的决策，使用的强大技术包括数据讲述、统计学和机器学习。在本课程中，您将开始学习之旅，探索数据科学的角色。 课程大纲： 1. **数据科学概念介绍** 介绍谷歌高级数据分析证书，探索数据科学的历史及其如何帮助当今解决问题。 2. **当今数据的影响** 涉及数据专业人士如何管理和分析数据，以及数据驱动的见解如何帮助组织。 3. **作为数据专业人士的职业发展** 明确数据专业人士分析数据所需的技能，并探讨他们如何与团队成员协作。 4. **数据应用与工作流程** 学习PACE（计划、分析、构建、执行）项目工作流程，如何组织数据项目及与团队和利益相关者有效沟通。 5. **课程结束项目** 完成一个课程结束项目，应用新学的技能和知识解决实际工作场景中的商业问题。 通过本课程，您将建立坚实的数据科学基础，为进一步发展数据职业生涯打下基础。
Name:Introduction to data science concepts
Description:You’ll begin with an introduction to the Google Advanced Data Analytics Certificate. Then, you'll explore the history of data science and ways that data science helps solve problems today.
Name:The impact of data today
Description:Now that you’re more familiar with the history of data science, you’re ready to explore today’s data career space. You’ll learn more about how data professionals manage and analyze their data, as well as how data-driven insights can help organizations.
Name:Your career as a data professional
Description:You’ll identify the skills data professionals use to analyze data. You'll also explore how data professionals collaborate with teammates.
Name:Data applications and workflow
Description:You’ll learn about the PACE (Plan, Analyze, Construct, Execute) project workflow and how to organize a data project. You’ll also learn how to communicate effectively with teammates and stakeholders.
Name:Course 1 end-of-course project
Description:You’ll complete an end-of-course project, gaining an opportunity to apply your new data skills and knowledge from Course 1 to a workplace scenario, and practice solving a business problem.
This is the first of seven courses in the Google Advanced Data Analytics Certificate, which will help develop the skills needed to apply for more advanced data professional roles, such as an entry-level data scientist or advanced-level data analyst. Data professionals analyze data to help businesses make better decisions. To do this, they use powerful techniques like data storytelling, statistics, and machine learning. In this course, you’ll begin your learning journey by exploring the role of d
