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Вернуться к A Crash Course in Data Science

Отзывы учащихся о курсе A Crash Course in Data Science от партнера Университет Джонса Хопкинса

Оценки: 6,732
Рецензии: 1,278

О курсе

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:
Основные моменты
Basic course
(рецензий: 76)
Well taught
(рецензий: 48)

Лучшие рецензии


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!

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776–800 из 1,244 отзывов о курсе A Crash Course in Data Science

автор: Shardul N

May 05, 2020

This course is an excellent starter course.

Just one thing, a few simpler examples for certain concepts may be better for understanding them, as some people (like me) who are not well versed with scientific terms and concepts find it a bit challenging and difficult to understand them.

автор: Rong-Rong C

Dec 01, 2017

Crash course is the correct description; vast amount of material covered in a few segments. As a result, this course is fast-paced and does not go too deeply into any particular aspect of statistics. It is nice to have a little knowledge of the subject matter but it is not required.

автор: Sergey G

Jun 21, 2020

This course could be really usefull even for experienced Data Scientist to correctly organize a workflow in his\her DS team. The described technologies and some examples a little bit outdated in 2020, but most of the information is quite general and relevant for any period of time,

автор: Peter E

Nov 08, 2016

I am a PhD biologist leading a team of data analysts. I found this course to be quick and easy to follow, well presented, and extremely helpful. The instructors are truly professional and they excel in this medium, I was very impressed. Thanks Coursera and Johns Hopkins!

автор: Marc-Eric L

Dec 22, 2019

It was very good. I am not a DS but have been exposed to their work. I would like to debate whether Hadoop is the best place to do the work today, but the point made still stands. The one thing that made me put a 4* instead of 5: I don't see how it is "executive" yet.

автор: Lucas B P

Dec 15, 2015

I left with a good understanding of the reach and dynamics of the field of data science. Even with experience in using data to answer questions in the context of an organization this has been a good way of mapping out the areas where that experience can be extended.

автор: Seraphim A

Dec 11, 2015

A very good intro to Data Science by three experts. Well-paced, with reasonable quiz questions and can be completed in less than a week. However, I would certainly not pay for it, because it is feels more like a well-designed ad for the spesialization that follows!

автор: Ben H

Jul 18, 2018

As advertised. This is a basic introduction into thinking about data science problems and processes. No statistics or coding, but the discussion of tools and ideas will be valuable for anyone who is numerate but hasn't been exposed to data science practices.

автор: Priya S

Nov 06, 2017

Course explanation/class can be a little more simple as this is a crash/basic course for data science. There were multiple situations where I had to google on few data science/statistics jargons, which I couldn't understand as I am a beginner in this field.

автор: Kevin W F

Nov 03, 2016

While the course has excellent material, I would not send any of my executives to it. The information is to deep and technical for a business executive in my opinion. I would have liked more examples on how implementing this would benefit a business.

автор: Abraham E

Aug 14, 2020

Good starting point if you have no idea about what data science is about. It could be more helpful if it made a clearer distinction between classic statistics and data science (it is briefly mentioned); and what are the pardigms of this discipline.

автор: Chitra N

Nov 18, 2018

The course was very good. However, there were many terms instructors used in the beginning without explaining them. But later in the course, many of these were explained. However, it always helps to explain any term when it is first introduced.

автор: Clara M

Oct 30, 2015

A really useful introduction to what is data science. I found it very complete, besides maybe I would have liked a little more deepness in some concepts. I'm willing to learn more about the subject, maybe I will complete the whole specialization.

автор: Mohammed N H

Apr 08, 2018

Basic understanding of data science that can help your expectations and realty before entering deep in the data science courses. Recommended for everyone who wish to learn data science or build a data science team to achieve organizational goal.

автор: Bhavya C

Sep 16, 2017

This is a beautifully designed crash course on Data Science and gives you insight into Machine Learning and how it can be used effectively. The examples it highlights are brilliant! Thanks to the instructors and Johns Hopkins University.

автор: Karen D

Jun 22, 2017

A good start but definitely from the point of view of organizations without a lot of funding. Fortune 100s often don't follow the process as they outlined it because they can afford technologies that don't require data extraction, etc.

автор: Anne M

Dec 27, 2015

Quite fast-paced indeed. Even the instructors seem like they're in a rush :)

It would have helped if there was a glossary of terms for people who aren't well-versed in programming basics.

But in summary, it's an interesting course =)))

автор: Anneliese G

Sep 26, 2019

I really liked the concepts covered in this course and found the instructors engaging. I felt the course readings were essentially the same as what was covered in the presentations so would probably skip one or the other next time.

автор: Astolfo

Jun 26, 2020

Great content. I suggest to improve a little bit the audio quality on the second and third professors, the qaulity of the sound is slighlty lower and makes harder to understand it at high speed for me (no native english speaker)

автор: Noushad

Mar 16, 2017

Extremely helpful and informative this was my first time experience going through an online training, i should say thanks team for making it so easy and effective :-)

Looking forward for more sessions and positive experiences.

автор: Scott Y

Dec 27, 2019

Good course with the right level of detail to get your feet on the ground with data science. As an executive learning the Data Science field later in my career I found it to be challenging enough and relevant to my work.

автор: Michael W

Jun 05, 2016

Was a good introduction. The focus was good as I feel I came away with knowledge of the field as opposed to technology. Only recommendation is to ask professors to use more practical examples in the lectures.

автор: Augustina R

Dec 25, 2016

Really good quick and dirty high level overview of how to structure and talk about data science projects. Great for improving communication about your project to your boss and people from outside of your team.

автор: Dynasty D D

Sep 18, 2015

This course was truly a crash course with less crashing and more succeeding on the parts of the professors. My only suggestion is to more clearly outline and link the next classes in the specialization.

автор: Nicholas G

Jan 09, 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.