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所在平台: Coursera专项课程 课程类别: 计算机科学 大学或机构: CourseraNew |
课程主页: https://www.coursera.org/specializations/introduction-applied-data-science
课程评论：没有评论
课程简介：应用数据科学入门专业化 在这个专业化课程中，学习者将发展基础的数据科学技能，为他们的职业生涯或进一步学习准备，这可能涉及更高级的数据科学主题。课程内容涵盖了数据科学的定义以及数据科学家所执行的各种活动。学习者将熟悉数据科学家使用的各种开源工具，如 Jupyter Notebook，并学习处理数据科学问题的方法论。此外，课程还提供关系数据库概念及使用 SQL 进行数据库查询的知识。学习者将通过实践实验和项目来应用他们新获得的技能和知识。 课程大纲：包含4个课程 1. [什么是数据科学？](http://coursegraph.com/coursera-what-is-datascience) - 课程开始日期：6月18日 - 探讨数据中洞察和趋势的发现艺术，自古以来一直存在。 2. [数据科学的开源工具](http://coursegraph.com/coursera-open-source-tools-for-data-science) - 课程开始日期：6月18日 - 学习一些最流行的数据科学工具，如 Jupyter Notebooks、RStudio IDE、Apache Zeppelin 和数据科学体验及其功能。 3. [数据科学方法论](http://coursegraph.com/coursera-data-science-methodology) - 课程开始日期：6月18日 - 讨论尽管计算能力和数据获得有显著提升，但在决策过程中对数据的使用仍未得到最大化。 4. [数据库和 SQL 在数据科学中的应用](http://coursegraph.com/coursera-sql-data-science) - 课程开始日期：6月18日 - 介绍 SQL 作为与数据库交流的强大语言，强调掌握 SQL 基础的重要性。 通过这个专业化课程，学习者将获得数据科学领域的基础知识，并为未来的学习或职业发展做好准备。
4 courses
What is Data Science?
Upcoming session: Jun 18
The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Sin
Open Source tools for Data Science
Upcoming session: Jun 18
What are some of the most popular data science tools, how do you use them, and what are their features? In this course, you'll learn about Jupyter Notebooks, RStudio IDE, Apache Zeppelin and Data Science Experience. You will learn about what each tool
Data Science Methodology
Upcoming session: Jun 18
Despite the recent increase in computing power and access to data over the last couple of decades, our ability to use the data within the decision making process is either lost or not maximized at all too often, we don't have a solid understandin
Databases and SQL for Data Science
Upcoming session: Jun 18
SQL is a powerful language which is used for communicating with databases. Before you step into the field of data science, it is vitally important that you set yourself apart by mastering the foundations of SQL. The purpose of this course is to i
In this Specialization learners will develop foundational Data Science skills to prepare them for a career or further learning that involves more advanced topics in Data Science. The specialization entails understanding what is Data Science and the various kinds of activities that a Data Scientist performs. It will familiarize learners with various open source tools, like Jupyter notebooks, used by Data Scientists. It will teach them about methodology involved in tackling data science problems. The specialization also provides knowledge of relational database concepts and the use of SQL to query databases. Learners will complete hands-on labs and projects to apply their newly acquired skills and knowledge.
