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

4.5
Оценки: 5,159
Рецензии: 978

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: https://flic.kr/p/gdMuhT...
Основные моменты
Well taught
(рецензий: 48)
Basic course
(рецензий: 76)

Лучшие рецензии

SJ

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.

JM

Jan 02, 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,

Фильтр по:

826–850 из 947 отзывов о курсе A Crash Course in Data Science

автор: AnkitKumar G

Nov 03, 2019

good to understand basic of data science

автор: Artur S

Sep 30, 2019

Few chapters are a little bit too lengy.

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: Eric F

Oct 22, 2019

Pretty thorough for an overview, and it touched upon most concepts that you'd need to approach Data Science in any meaningful capacity.

My only gripe is with the literal last quiz, wherein no questions were asked based upon the materials, but upon additional PDFs attached to the quiz itself.

You cannot link me 4 PDFs and then claim it's a 4 minute quiz.

автор: Pallav K

Oct 22, 2019

It's a good course when you have a beginner level experience in data science.

автор: Bishnu C

Oct 24, 2019

It provides you with bite-size information to get your hands dirty

автор: Ryan M S

Oct 31, 2019

The course was fantastically done. I only noticed that the video player would sometimes end the video early and that I would miss some of the pertinent information for the quizzes.

автор: Shyam S

Feb 11, 2019

I personally found it difficult to understand some of the language used, which I think could be simplified better. I personally learn better, when I'm not being overloaded with loads of facts & info, however I did like that we could do some reading at our own pace, then get shown a video. I like the videos, and the quizzes.

автор: Jean-Michel M

Feb 14, 2019

The trainers are not equal in quality.

автор: Alberto M B

Feb 28, 2019

Perhaps too shallow. I was expecting more info.

автор: Leslie T

Mar 05, 2019

The material and lectures are good but the quizes are not very helpful and somewhat random (in answers). The small number of questions make them very unforgiving.

автор: Riaan R

Feb 20, 2019

Very basic and to short.

автор: Jason M

Jul 13, 2018

Pretty high level and quick. Hoping the remaining courses in the specialization give more depth. (Completed this course in an afternoon.)

автор: Peter L

Jul 25, 2018

Added value is highly dependent of your experience with data analysis or data engeneering

автор: Santiago J S

Sep 27, 2017

Good starting point, maybe too short. Hope next courses on the specialization become more extense in content. I've always have issues to follow Peng's line of thinking, it's like kinda in some way he is doing some sort of improvisation or so, I love his books, but his lectures are very hard to follow, even the short ones.

автор: Angel S

Jan 11, 2016

Interesting course

автор: Andrew P

Feb 10, 2016

Solid introduction. Not so engaging if using the non-paid options

автор: Evgeny K

Sep 25, 2016

This course leaves you frustrated, as valuable information is only ad the end and at the beginning. It doesn't really answer questions of what are data science, big data, machine learning, how they interact and how to use them.

автор: Edward W

Sep 27, 2015

A good introductory overview of data science. Grounds you on what you can & cannot do with data science. I find defining the question really impactful. Teachers were enthusiastic and the brevity of the course gives it good appeal for beginners who want to "get their feet wet".

автор: aman

Sep 27, 2016

O

автор: Karthik S N

Apr 24, 2016

Really basic course. Not needed for people you have already done data science specialization in coursera

автор: Elizabeth R

Jan 27, 2016

Good, simple, straightforward, and applied. It starts to introduce you to the language and platforms of data science, but it is most definitely not a standalone course if you want to be conversant in the field. Really just a "taster" to get you into the specialization.

автор: Camilo C

Oct 10, 2016

Very basic course!

автор: Richard B

Jul 02, 2017

it was a little lighter than I expected

автор: Wei C

Oct 02, 2015

It provides a quich shot on data science, but the way it presents is not so interesting.