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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

4.5
звезд
Оценки: 7,117
Рецензии: 1,354

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

MD
27 авг. 2016 г.

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!

SJ
9 сент. 2017 г.

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.

Фильтр по:

951–975 из 1,320 отзывов о курсе A Crash Course in Data Science

автор: Makar V

22 сент. 2015 г.

great introduction to field, but there is lack of examples of bad usage data science methods and tools

автор: Marie K G

1 июня 2020 г.

It was a great starting point on learn the basics of Data Science. Looking forward to learning more.

автор: Steven B

24 мар. 2019 г.

Decent intro. It still uses a lot of terminology that is not defined and may be beyond the beginner.

автор: Vivek T

27 авг. 2018 г.

Helpful; learnt new stuff. But some of the course videos do not correspond with the quiz questions.

автор: Leonardo S

15 янв. 2017 г.

Clear and streamlined. I wish it could go deeper. Moving on with the other courses on the subject.

автор: Christopher M

30 дек. 2017 г.

Basic information on some of the terms you will encounter in other courses and in the real world.

автор: jyoti r

11 окт. 2017 г.

It was very informative course for those who wants to learn -what is data science is all about.

автор: Jeff G

21 февр. 2017 г.

a bit of mumbling in the videos, and some of the single/multiple answer buttons were incorrect.

автор: Marcel S

6 янв. 2019 г.

Algumas coisas ficaram meio confusas sobre o capítulo 3. Achei os exemplos pouco ilustrativos.

автор: Ron L

16 февр. 2018 г.

I liked it. Nice, quick, high-level overview of the most critical components of data science.

автор: Ahmed A

16 апр. 2020 г.

This course is presented and delivered by a professional academic team who has perfect skills

автор: Ronald J

6 июня 2019 г.

Great course describing the process flow of Data Science and how to formulate quality results

автор: Robert G

6 апр. 2020 г.

The course is a good introduction to data science and the periphery of data science projects

автор: Cindy L

24 февр. 2016 г.

Good short introduction to the field who someone with minimal understanding of data science.

автор: Deleted A

2 нояб. 2016 г.

Solid executive level overview of the domains involved in leading a Data Science program.

автор: Sandrine R

19 июля 2018 г.

Clear and well structured course. I would only suggest to spend more time on examples.

автор: Rhonda J

9 дек. 2017 г.

Good overview, but you'll need a more indepth course if you want to work in the field.

автор: Abdulaziz E

16 мая 2016 г.

It is helpful for those who want to get an overview of what data science is all about.

автор: Rufat A

1 февр. 2019 г.

Good introduction to the data science field, although a bit heavy on the theory side.

автор: Abhishek S

5 сент. 2017 г.

A good overview of data science and terminologies. Few slides had some QA issues that

автор: Derek H

8 авг. 2017 г.

Covers the major areas of data science. Good segment on data science reality vs hype.

автор: Kalyan K S N

7 окт. 2015 г.

Very good course to understanding the nuances of Data science and various tools used.

автор: Melissa B

29 июля 2017 г.

Good information on the basics in data science - presented in understandable format.

автор: Damon R

11 сент. 2016 г.

Good for getting a quick summary of what Data Science is for those new to the field.

автор: Rushikesh G

3 янв. 2017 г.

This course gives a brief idea about Data Science. It is helpful for the beginners.