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A Crash Course in Data Science に戻る

ジョンズ・ホプキンズ大学(Johns Hopkins University) による A Crash Course in Data Science の受講者のレビューおよびフィードバック



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. This is a focused course designed to rapidly get you up to speed on the field of data science. Our goal was to make this as convenient as possible for you without sacrificing any essential content. We've left the technical information aside so that you can focus on managing your team and moving it forward. After completing this course you will know. 1. How to describe the role data science plays in various contexts 2. How statistics, machine learning, and software engineering play a role in data science 3. How to describe the structure of a data science project 4. Know the key terms and tools used by data scientists 5. How to identify a successful and an unsuccessful data science project 3. The role of a data science manager Course cover image by r2hox. Creative Commons BY-SA:
Basic course
Well taught



Sep 10, 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.


Aug 28, 2016

Is really hard to summarize the potential of Data Science and being clear, but I think that the instructors have done their best, so that we can achieve the most from the Course.\n\nGreat Job!


A Crash Course in Data Science: 101 - 125 / 1,190 レビュー

by Errol L

Jul 03, 2017

This course has allowed me to quickly comprehend Data Science foundation attributes. I now have a better grasp of the goals, tools, and applications of data science.

by Javier C B

Dec 31, 2016

It is great to have some of the key concepts clearly explained. Often times things get overcomplicated when understanding the basics is the foundation to build upon.

by TanShuLeng

May 17, 2017

Happy with the course as it provide a very good definition and distinction of what data science is all about. It is not about technology. Technology is an enabler.


Jun 24, 2020

I took this course to try to understand and be of interest to Data Science. Guess what? I think I'm hooked with this and eagerly wanting to know more. Amazing !

by Cédric B

Dec 12, 2018

Nice course, I haven't practiced actual data science neither professionally nor academically for a while, and it is a good, gentle re-introduction to the domain

by Edij

Dec 17, 2017

Excellent introductory session to data science. Useful to give me a frame of thought about what data science is all about and how it can be valuable to my work.

by Patrick D

Oct 14, 2015

Great introduction into the world of Data Science. I appreciated the 3 different lecturers who each brought a different aspect of data into light.

Thank you all.

by Sai K G

Jul 04, 2020

It won't go into teaching you data science but did a very good job in giving an overall overview of topics that include in the field and what matters the most.

by Zaw T N

Mar 19, 2019

I was very delighted to have learned that course, I believe that I really gained a lot of insights into the subject although my career is not a data scientist.

by Fuyo Y

Aug 29, 2017

Short, sweet and to the point. I got through it okay and felt emboldened enough to venture into additional modules on data science, so I think it did the job!

by Patrick P

Dec 14, 2015

This is an amazing short course, covering the basics of data science. Must-do for all (aspiring) data scientists or management working on data science projects

by Anupriya A

Jun 14, 2018

Needed only an intro and so this standalone capsule was just fine! Gave me a very good overview on Data Science and how to structure our data science team.Thx

by Palash J

Mar 21, 2018

An engaging course with precise learning methods built on excellently chosen case studies and examples. A must do for every aspiring data scientist out there!

by Gilad R

Apr 10, 2020

the course gives a really good overview for people who only heard ML and big data as buzz words and want to understand more about what Data science is about.

by Yenwei Z

Jun 17, 2017

An compact introduction that is useful for beginners and easy to consume! If you want to grasp a general holistic view of this field, this is what you need.

by Tatiana C

Mar 02, 2017

This course was exactly what I was looking for - I got a high level understanding of the field and that knowledge has helped anchor me for further research.

by Nidhin R

Apr 25, 2020

A fast moving course with crisp showing of what data science and ML is all about. Highly recommended for people inclined to managing in data science teams

by sudhakar c

Sep 10, 2016

Great for beginners in Data Science. Lecturer are good and instructors are very knowledgeable and provided valuable inputs through short duration lectures.

by Kimberly K

Dec 16, 2018

Clear with easy to understand concepts. The course made great use of examples and video lectures to bring participants up to speed on Data Science basics.

by Pratik G

Jun 01, 2017

Good introductory/overview course into the world of Data Science involving projects and endeavours. Gives a good understanding of its power and pitfalls.

by Elisa M

Jan 22, 2020

Quick overview, great for better undestanding your data science team and explaining your collegues how can we use data science to make better decisions.

by Daniel D

Aug 12, 2018

Excellent introduction to the subject, now that I have a better understanding I can ask better questions and figure problems to solve using Data Science

by Brian R M

May 08, 2016

Excellent introduction. Especially liked the short lecture on supervised v. unsupervised machine learning. That answered a question I had at the outset.

by Alexandra Z

Jul 20, 2020

Gives insights and overview in a concise way, I feel ready to structure up a data Analysis Project (without doing the actual data Analysis myself) now.

by Christos G

Aug 24, 2017

It delivers exactly what it describes, a quick tour through the basic concepts around Data Science. I liked the Hype Vs. Reality section in particular.