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

4.5
Оценки: 5,213
Рецензии: 983

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

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 951 отзывов о курсе A Crash Course in Data Science

автор: Chimobi O

Aug 07, 2019

well explained.

автор: Bishnu C

Oct 24, 2019

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

автор: Ioannis B

Aug 28, 2019

it's a great 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: Artur S

Sep 30, 2019

Few chapters are a little bit too lengy.

автор: AnkitKumar G

Nov 03, 2019

good to understand basic of data science

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: Pallav K

Oct 22, 2019

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

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: Willzhang

Dec 05, 2019

An overview of Data science, great guidance to a new skill and methodolegy. My first finished course in coursera.

автор: milosz

Nov 21, 2018

Very rudimentary but if the very basics are what you need, then it might suit you

автор: Pavan M

Nov 09, 2018

This course is very basic and completely theoretical. The grading of questions is not proper. The passing mark is 80% but there are only 4 questions. Answering 3 questions correctly gives you 75% and answering 4 questions gives you 100%, then where is the passing mark question.

But the content is good.

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: Riaan R

Feb 20, 2019

Very basic and to short.

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: Alberto M B

Feb 28, 2019

Perhaps too shallow. I was expecting more info.

автор: Yousuf A

Aug 09, 2018

A lot of the topic is described in a difficult way using unknown words(for a beginner) and with examples that I did not understand.

автор: Raymond T W

Oct 11, 2018

A bit too lengthy for the points to be learnt. Can get more done in less time and fuss. Too many examples especially if one wishes to cover 100% of the material.

автор: Jimmy H J G

Sep 17, 2018

this is Old content

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: Nandeep N

Jun 22, 2017

could have packed more punch into the course