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所在平台: Coursera专项课程 |
课程主页: https://www.coursera.org/specializations/vital-skills-for-data-science
课程评论：没有评论
课程名称：数据科学的基本技能 课程概述： 本课程将帮助学员掌握数据科学的多方面技能。学习内容包括：识别数据科学的应用、了解数据科学过程的步骤并将其应用于现实世界的数据、讨论隐私问题。通过本课程，学员将能够解释数据科学的概念，并识别涉及的关键学科。 所需技能： - 信息隐私 - 网络安全 - 数据分析 - 伦理学 - 数据科学 - 应用数学 - 信息科学 - 统计学 - 计算机科学 - 算法 - 隐私 - 哲学 关于该专业课程： “数据科学的基本技能”课程为学员介绍了每个数据科学家必须熟悉的多个领域。每个主题都是一个独立的领域，本课程提供了每个领域的“尝试”，使学员能够判断是否想进一步深入探索。学员将学习数据科学的不同应用，以及如何将数据科学过程的步骤应用于现实数据中。同时，学员将了解数据科学分析过程中的伦理问题，网络安全领域将帮助学生意识到如何保护数据免受损失。 该课程可以作为科罗拉多大学博尔德分校的科学硕士学位（MS-DS）的一部分。该学位是一个跨学科项目，结合了应用数学、计算机科学、信息科学等多个部门的教员。该项目无需申请流程，适合拥有广泛的计算机科学、信息科学、数学或统计学等本科教育和/或专业经验的个人。 应用学习项目： 课程项目将鼓励学员参与伦理讨论、培养人际网络技能、应对网络安全威胁，并探索数据科学专业世界。这些项目将帮助学员理解该领域并获得成功所需的技能。 证书： 完成课程后将获得可分享的证书。课程为100%在线，学员可以立即开始并按照自己的时间表学习。课程为中级水平，大约需要5个月完成，建议学习时间为每周4小时，课程主要采用英语授课。 课程链接和具体内容可在Coursera平台上找到。
Course Link: https://www.coursera.org/learn/data-science-as-a-field
Name:Data Science as a Field
Description:Offered by University of Colorado Boulder. This course provides a general introduction to the field of Data Science. It has been designed ... Enroll for free.
Course Link: https://www.coursera.org/learn/ethical-issues-data-science
Name:Ethical Issues in Data Science
Description:Offered by University of Colorado Boulder. Computing applications involving large amounts of data – the domain of data science – impact the ... Enroll for free.
Course Link: https://www.coursera.org/learn/cybersecurity-for-data-science
Name:Cybersecurity for Data Science
Description:Offered by University of Colorado Boulder. This course aims to help anyone interested in data science understand the cybersecurity risks and ... Enroll for free.
Course Link: https://www.coursera.org/learn/fundamentals-of-data-visualization
Name:Fundamentals of Data Visualization
Description:Offered by University of Colorado Boulder. Data is everywhere. Charts, graphs, and other types of information visualizations help people to ... Enroll for free.
What you will learn
Identify applications of Data Science.
Identify the steps of the Data Science process and apply them with real world data.
Discuss privacy concerns.
By taking this course, you will be able explain what data science is and identify the key disciplines involved.
Skills you will gain
Information Privacy
Cybersecurity
analysis
Ethics
Data Science
Applied Mathematics
Information Science
Statistics
Computer Science
Algorithms
Privacy
Philosophy
About this Specialization
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Vital Skills for Data Science introduces students to several areas that every data scientist should be familiar with. Each of the topics is a field in itself. This specialization provides a "taste" of each of these areas which will allow the student to determine if any of these areas is something they want to explore further. In this specialization, students will learn about different applications of data science and how to apply the steps in a data science process to real life data. They will be introduced to the ethical questions every data scientist should be aware of when doing an analysis. The field of cybersecurity makes the data scientist aware of how to protect their data from loss.
This specialization can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.
Logo image by JJ Ying on Unsplash
Applied Learning Project
Projects will encourage students to engage in ethical discussions, hone networking skills, address cybersecurity threats, and explore the professional world of Data Science. These projects will help students develop an understanding of the field and gain skills that will help them be successful.
Shareable Certificate
Shareable Certificate
Earn a Certificate upon completion
100% online courses
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Flexible Schedule
Set and maintain flexible deadlines.
Intermediate Level
Intermediate Level
R programming
Hours to complete
Approximately 5 months to complete
Suggested pace of 4 hours/week
Available languages
English
Subtitles: English
Shareable Certificate
Shareable Certificate
Earn a Certificate upon completion
100% online courses
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Flexible Schedule
Set and maintain flexible deadlines.
Intermediate Level
Intermediate Level
R programming
Hours to complete
Approximately 5 months to complete
Suggested pace of 4 hours/week
Available languages
English
Subtitles: English
