By now you have definitely heard about data science and big data. In this one-week class, we will provide a crash course in what these terms mean and how they play a role in successful organizations. This class is for anyone who wants to learn what all the data science action is about, including those who will eventually need to manage data scientists. The goal is to get you up to speed as quickly as possible on data science without all the fluff. We've designed this course to be as convenient as possible without sacrificing any of the essentials.
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课程信息
78,025 次近期查看
学生职业成果
26%
完成这些课程后已开始新的职业生涯
27%
通过此课程获得实实在在的工作福利
10%
加薪或升职
您将获得的技能
Data ScienceData AnalysisMachine LearningProject
学生职业成果
26%
完成这些课程后已开始新的职业生涯
27%
通过此课程获得实实在在的工作福利
10%
加薪或升职
100% 在线
立即开始，按照自己的计划学习。
第 1 门课程（共 5 门）
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完成时间大约为5 小时
建议：1 week of study, 4-6 hours
英语（English）
字幕：中文（繁体）, 阿拉伯语（Arabic）, 俄语（Russian）, 土耳其语（Turkish）, 英语（English）, 印地语
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约翰霍普金斯大学
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
教学大纲 - 您将从这门课程中学到什么
完成时间为 4 小时
A Crash Course in Data Science
This one-module course constitutes the first "week" of the Executive Data Science Specialization. This is an intensive introduction to what you need to know about data science itself. You'll learn important terminology and how successful organizations use data science.
完成时间为 4 小时
11 个视频 （总计 78 分钟）, 8 个阅读材料, 9 个测验
11 个视频
What is Data Science?5分钟
Statistics by example activities11分钟
Machine learning, the basics13分钟
Machine learning further reading3分钟
What is Software Engineering for Data Science?6分钟
The Structure of a Data Science Project6分钟
The outputs of a data science experiment6分钟
The four secrets of a successful data science experiment14分钟
Data Scientist Toolbox5分钟
Separating Hype from Value3分钟
8 个阅读材料
Specialization Textbook10分钟
Grading10分钟
Pre-Course Survey10分钟
Statistics by example activities10分钟
Machine learning10分钟
The outputs of a data science experiment10分钟
The four secrets of a successful data science experiment10分钟
Post-Course Survey10分钟
9 个练习
What is data science?2分钟
What is statistics good for?10分钟
Machine learning8分钟
Quiz: Software Engineering6分钟
Structure of a Data Science Project8分钟
The outputs of a data science experiment10分钟
Defining Success in Data Science8分钟
Data scientist toolbox8分钟
Separating hype from value8分钟
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来自数据科学速成课的热门评论
由 NG 提供Jan 8, 2018
Questions could have been more difficult. Plus, I'm frustrated that I was taken into a 25-question survey ranking me with other data scientists, but when I clicked out of it I wasn't able to get back.
由 SK 提供Jul 18, 2017
This course introduced me to the concepts of Data Science and the key words mainly. Some lecturers spoke very fast, and I had listen to them two or three times to keep up with their pace of speaking.
由 RA 提供Dec 29, 2019
Enjoyed the pace at which the course moved. Teachers were qualified and relevant. Video Production quality could be better, some of the presentation graph were illegible - thus the lack of 1 star.
由 JX 提供Jun 20, 2016
fairly general concepts of data science, but may be quite helpful l for people totally new to the field of data (e.g. not having any idea), or as material to review the big picture of data science
由 SJ 提供Sep 9, 2017
This is a great starter course for data science. My learning assessment is usually how well I can teach it to someone else. I know I have a better understanding now, than I did when I started.
由 JM 提供Jan 1, 2018
It is a very good course even if you are familiar with some aspects of data science work. If I have to make a suggestion, I would remark the importance of design skills during a data product,
由 AO 提供Jun 12, 2016
Provided a good, very high level overview. I audited so I didn't take the quizzes, but the questions were all on the general side. I liked how they used some examples of real-life research.
由 KS 提供Feb 8, 2020
Well it got the objective right which is only a crash course in data science for beginners, but I think the team could make a more engaging and practical videos with more of real life cases
由 YM 提供Sep 13, 2017
Great to do if, you want to dive into data science or machine learning. It is a must do, if you have no idea of the rationale behind statistics and data science as well as the need for it.
由 KM 提供Oct 22, 2016
This was really a crash course in various aspects of data science, with words being thrown around and defined for a lay person like myself. Overall, this was a good course for beginners.
由 AN 提供Jan 11, 2016
This course is a really good starting point for people new to the field of data science. I come from a data warehousing and historical analysis background and I found this course useful.
由 VV 提供Feb 20, 2020
I think the course design was really excellent. Though he seems like he is a nice, intelligent person, I found it hard to relate to Brian Caffo. His delivery was quite dull, and boring.
由 PT 提供Jul 12, 2018
Great introduction. What I found interesting is being able to reflect on projects I have been on relating to data analysis and seeing the steps, benefits and pitfalls explained for me.
由 JH 提供Aug 9, 2016
It would be good to be able to complete the quizzes even if you are not paying for the certificate, this would enable people to understand how much they have taken away from the class.
由 EJ 提供Dec 30, 2015
I enjoyed this class very much. It was concise, precise, and digestible. Not to mention the instructors kept it lively though out the course. Thank you for such an informative course.
由 PS 提供Feb 15, 2018
This course is good starter for anyone wanting to understand data science projects, be it if you are trying to pursue a career in data science or trying to understand overall picture.
由 AS 提供Nov 22, 2016
It's a good starting point. I've now got a good idea of what else I need to learn. The course also provides an easy to apply approach to get value from my efforts using data science.
由 JJ 提供Oct 16, 2016
Very nicely packaged, concise course for the one who themselves may not handle the data but have a need to understand what is going on around them and how to make team more effective
由 DM 提供Jan 9, 2020
Thanks folks! This was a fun course to do. Although I had a reasonable idea about the topics covered, it did a good job consolidating everything into something that is applicable to
由 AS 提供Apr 17, 2017
I really liked the content , the difference between machine learning and statistical modelling was nicely explained.I also like the topic hype from value and it was well explained.
关于 数据科学管理 专项课程
Assemble the right team, ask the right questions, and avoid the mistakes that derail data science projects.
In four intensive courses, you will learn what you need to know to begin assembling and leading a data science enterprise, even if you have never worked in data science before. You’ll get a crash course in data science so that you’ll be conversant in the field and understand your role as a leader. You’ll also learn how to recruit, assemble, evaluate, and develop a team with complementary skill sets and roles. You’ll learn the structure of the data science pipeline, the goals of each stage, and how to keep your team on target throughout. Finally, you’ll learn some down-to-earth practical skills that will help you overcome the common challenges that frequently derail data science projects.
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